WEBVTT - How To Use AI Without Turning Your Brain Off

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<v Speaker 1>You're listening to a Mom with mea podcast.

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<v Speaker 2>Welcome back everyone, I'm a Shiny Dante and this is

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<v Speaker 2>but Are You Happy? A Mother Meer podcast where we

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<v Speaker 2>have honest conversations for people who are still figuring out

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<v Speaker 2>this thing called life.

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<v Speaker 3>And I'm doctor Anastaga Hernis, clinical psychologist. Now, if you've

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<v Speaker 3>clicked on this podcast, I'm guessing that you are feeling

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<v Speaker 3>like AI is.

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<v Speaker 1>Everywhere, and it literally is.

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<v Speaker 3>It's planning our days, organizing our schedules, writing, reading alongside us,

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<v Speaker 3>even helping us reflect.

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<v Speaker 1>So you might have some questions and we're here to

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<v Speaker 1>answer them.

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<v Speaker 2>Yeah, and by the end of this episode, you'll have

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<v Speaker 2>a much clear understanding of what's going on and what

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<v Speaker 2>actually matters to you. Let's get into it. So, as

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<v Speaker 2>you mentioned before, AI is everywhere, and it's honestly bringing

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<v Speaker 2>up a lot of mixed feelings for people. You know,

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<v Speaker 2>people are excited by it, but also people are confused

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<v Speaker 2>and it's scary too. So I guess where I would

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<v Speaker 2>want to start is what is AI doing to our brain?

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<v Speaker 1>That's a big starting Yeah, let's.

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<v Speaker 2>Getting to it.

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<v Speaker 3>It's doing a lot and I think the reason this

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<v Speaker 3>conversation is important is because, as you said, people are confused,

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<v Speaker 3>they're scared, they're worried, and often we feel scared about

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<v Speaker 3>things we don't fully understand.

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<v Speaker 1>Yeah.

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<v Speaker 3>I think that's one of the things about AI. It

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<v Speaker 3>has developed at such a rapid pace. It has entered

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<v Speaker 3>mainstream discourse in our day to day lives. It's such

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<v Speaker 3>a rapid pace as well, and people have struggled to

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<v Speaker 3>keep up with really understanding what exactly AI is and

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<v Speaker 3>how it works and how it can be harmful, but

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<v Speaker 3>also how it can be beneficial. So I think these

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<v Speaker 3>conversations are really important. I'm always an advocate for translating

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<v Speaker 3>the science into the real world so that people have

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<v Speaker 3>the information to make good choices for themselves. Yeah. Yeah, So, look,

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<v Speaker 3>there's a lot of research that's been done just even

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<v Speaker 3>in the last two to three years about AI and

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<v Speaker 3>what it's doing to our brain.

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<v Speaker 1>Oh that's really good.

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<v Speaker 3>Yeah, heaps like it's a real focus of research at

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<v Speaker 3>the moment, which is great. And I guess when we

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<v Speaker 3>talk about what AI is doing to our brain, there's

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<v Speaker 3>kind of a few different areas that we might want

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<v Speaker 3>to cover. So there's things like our kind of cognitive

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<v Speaker 3>skills and how it might actually be impacting our ability

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<v Speaker 3>to think, to reason, to critically evaluate information, so we can.

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<v Speaker 1>Talk through that.

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<v Speaker 3>There's research about how it's impacting creative processes, but then

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<v Speaker 3>there's also research about how it's impacting us emotionally and

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<v Speaker 3>how we relate to AI, but how that then influences

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<v Speaker 3>how we relate to other people.

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<v Speaker 1>So I think there's a few umbrella topics there fore. Y.

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<v Speaker 2>Yeah, So the first one you were talking about was

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<v Speaker 2>cognitive skills.

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<v Speaker 3>Yes, yeah, Yeah, there's research that suggests that we could

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<v Speaker 3>fall into this trap of what we refer to as

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<v Speaker 3>cognitive atrophy. So when we think about atrophy, that's essentially

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<v Speaker 3>something somewhat deteriorating. If we rely on AI too much

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<v Speaker 3>much to do the critical thinking for us, we may

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<v Speaker 3>find that our own critical thinking and reasoning skills start

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<v Speaker 3>to deteriorate. So this is really where I think information

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<v Speaker 3>about benefits and harms of AI is really important, because yes,

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<v Speaker 3>absolutely AI can help us think through problem solve reason

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<v Speaker 3>you know, helps us complete tasks, etc.

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<v Speaker 1>But if we find ourselves.

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<v Speaker 2>Relying on it too much, we may find that our

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<v Speaker 2>own critical thinking skills start to deteriorate. Is it kind

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<v Speaker 2>of like that saying in the neuroscience world, if you

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<v Speaker 2>got to if you don't use it, you'll lose it.

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<v Speaker 2>Is that kind of the case in this context.

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<v Speaker 1>Yeah.

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<v Speaker 3>Absolutely, It's not that we'll like ever completely lose our

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<v Speaker 3>critical thinking skills. But the more we use them, the

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<v Speaker 3>more we develop them. So, you know, getting good at

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<v Speaker 3>problem solving and reasoning through problems, that's a skill. That's

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<v Speaker 3>a skill that we can all learn and we can

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<v Speaker 3>all develop. But if we find ourselves automatically going to

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<v Speaker 3>AI to help us do that or to do it

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<v Speaker 3>for us, then our problems solving skills are not going

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<v Speaker 3>to be as sharp as they perhaps once were, or

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<v Speaker 3>as sharp as they perhaps could be.

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<v Speaker 2>And it's really hard because we do live in this

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<v Speaker 2>like microwave culture where we want it, We want life

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<v Speaker 2>to be easy, and it is so easy to default to, Oh,

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<v Speaker 2>I've just asked chat ept ll ask Jemini. You know,

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<v Speaker 2>do you feel like we're over relying on AI now?

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<v Speaker 1>I think it really depends on how we use what

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<v Speaker 1>it gives us.

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<v Speaker 3>It's one thing to kind of ask AI questions, but

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<v Speaker 3>we know that AI makes a lot of mistakes. It hallucinates,

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<v Speaker 3>it has delusions, it feeds our delusions, but it makes

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<v Speaker 3>a lot of errors. And I was actually reading some

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<v Speaker 3>research recently. This was published like a month or so ago,

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<v Speaker 3>so like early twenty twenty six, from the University of Alberta,

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<v Speaker 3>and they did a study where doctors gave AI details

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<v Speaker 3>about patient cases looking for what, you know, the potential

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<v Speaker 3>diagnosis could be right, so a I would give it

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<v Speaker 3>a diagnosis, and then they would give AI additional information,

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<v Speaker 3>but information that was irrelevant to the condition or diagnosis.

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<v Speaker 3>It's just other bits of information about that person's sort

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<v Speaker 3>of biology, and AI would change its answer.

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<v Speaker 1>Oh yeah, So this is.

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<v Speaker 3>This really interesting study that shows, you know, AI is

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<v Speaker 3>very much designed to give us the answers that IT

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<v Speaker 3>thinks we would like to hear, versus what is actually accurate.

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<v Speaker 3>So when we have these conversations about AI, I think

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<v Speaker 3>it's not so much a question of over alliance on it,

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<v Speaker 3>but are we just blindly believing AI.

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<v Speaker 2>Well, it's really interesting because as you were talking about

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<v Speaker 2>how AI can make errors, I could feel like my

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<v Speaker 2>thoughts coming up about it being like really because it

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<v Speaker 2>feels like it's so confident in the way that it

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<v Speaker 2>I mean, I know, it's just like it's CHATCHYBT that

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<v Speaker 2>I use. It's like, I just believe it first hand

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<v Speaker 2>because it seems really eloquent, it seems really validating. I'm like, oh, yeah,

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<v Speaker 2>of course, of course I would trust it.

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<v Speaker 1>That is the lure of AI, right. AI is designed

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<v Speaker 1>got me. It's getting me. AI is designed to pull

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<v Speaker 1>us in in that way.

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<v Speaker 3>So actually there's something called reinforcement learning with human feedback.

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<v Speaker 3>So this is a process that happens when they train

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<v Speaker 3>AI models. And so what they do is it's like

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<v Speaker 3>AI gets all the information, but then they go through

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<v Speaker 3>this process of training it how to communicate the information

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<v Speaker 3>to us. And so I don't know if you've ever

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<v Speaker 3>used chat, GPT or any AI large language model where

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<v Speaker 3>you're asking you a question and then it gives you

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<v Speaker 3>two options and yes, and it says which do you prefer?

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<v Speaker 1>Yes.

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<v Speaker 3>That's because you're teaching it how you like to be

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<v Speaker 3>spoken to. And so they do this on large scales

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<v Speaker 3>when they're training AI models. So they get the big

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<v Speaker 3>AI model and then they create a smaller reward model,

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<v Speaker 3>and they go through all these iterations of asking IT

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<v Speaker 3>questions and finding what is the way that people most

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<v Speaker 3>like to hear the responses so it is really being

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<v Speaker 3>trained to validate us. It's you know, we talk about

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<v Speaker 3>AIS being quite sickophantic in a way that it gives

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<v Speaker 3>us the answers that we want to hear, not necessarily

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<v Speaker 3>the answers that are correct.

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<v Speaker 2>Wow, that's really it's Actually it makes sense though, because

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<v Speaker 2>in a way the other day, Yo was using my

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<v Speaker 2>chatchy pt and then he was just asking really blunt

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<v Speaker 2>questions like just black and white, and I was like, no, no, no,

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<v Speaker 2>I'm really nice to my AI.

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<v Speaker 1>Be nice to it.

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<v Speaker 2>And it's so so funny because I'm in this world

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<v Speaker 2>where it is sounding like me, but I can I

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<v Speaker 2>feel validated in that because it is my kind of flavor.

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<v Speaker 2>But then also it can be scary because now it's

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<v Speaker 2>literally been trained to speak like me.

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<v Speaker 1>Well, it is, it is. It is an extension of you.

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<v Speaker 3>That's why Ai AI reflects us back to us. AI

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<v Speaker 3>is trained to kind of you know, identify patterns. But

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<v Speaker 3>really it is just a reflection of us. It's an

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<v Speaker 3>extension of us in a way. Wow, okay Ai doesn't

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<v Speaker 3>have this separateness from us in the way that another

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<v Speaker 3>person does. So what I'm referring to is kind of

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<v Speaker 3>this idea of epistemic independence. So if I'm a therapist

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<v Speaker 3>in a room with a client and we're having a conversation,

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<v Speaker 3>I have this epistemic independence. I have a difference in

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<v Speaker 3>terms of my opinion, by a belief, my perspective on things,

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<v Speaker 3>and I can reflect that back to the client. AI

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<v Speaker 3>doesn't have that. AI reflects us back to us, which

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<v Speaker 3>is why we like using it so much. Yeah, it's

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<v Speaker 3>highly validating and highly aligned to how we think and.

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<v Speaker 2>Feel, and in a way it might keep us stuck

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<v Speaker 2>in an echo chamber of what we want to hear exactly.

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<v Speaker 3>Yeah, I'm pulling out all the studies right now because

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<v Speaker 3>I was reading a lot of papers because it's just

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<v Speaker 3>so fascinating. And these are all I published them the

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<v Speaker 3>last year, so like they're really recent. But there was

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<v Speaker 3>one study that was published December twenty twenty five and

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<v Speaker 3>it was looking at this idea of AI being stickophantic.

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<v Speaker 1>Oh what's that hap?

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<v Speaker 3>Yeah, So if I can describe sycophantic person is like

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<v Speaker 3>the employee who's like sucking up to the CEO because

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<v Speaker 3>they want to raise right. So it's this idea of

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<v Speaker 3>giving a very sort of positive impression. But it's not

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<v Speaker 3>necessarily genuine. It's because we have some sort of self

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<v Speaker 3>serving interest. So AI like validates us and makes us

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<v Speaker 3>feel really good. But that's because it's designed to do that,

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<v Speaker 3>because it genuinely thinks we're wonderful.

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<v Speaker 1>Right Damn.

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<v Speaker 3>There's this study in December last year and they studied

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<v Speaker 3>eleven large language models and they looked at I think

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<v Speaker 3>about like eleven twelve thousand queries that people asked it,

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<v Speaker 3>and they found that AI models are fifty percent more sycophantic,

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<v Speaker 3>so fifty percent more kind of like validating and will

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<v Speaker 3>tell you how.

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<v Speaker 1>Great you are than real humans.

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<v Speaker 2>Oh yeah, so what does that mean that we're gonna

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<v Speaker 2>choose AI over humans?

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<v Speaker 3>Quite quite likely, yes, because we love being validated. We

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<v Speaker 3>love hearing how great we are, Like how many times

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<v Speaker 3>do I ask CHAT, GPT or AI something and it goes,

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<v Speaker 3>that's such a great idea, and then about myself it's

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<v Speaker 3>so true. So so, but people are less likely to

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<v Speaker 3>do that. AI is fifty percent more likely to do

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<v Speaker 3>that than a human. So it means we're going to

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<v Speaker 3>really kind of if find ourselves like swimming in the

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<v Speaker 3>ego that comes with using AI. And the thing is

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<v Speaker 3>not only does it do that when we perhaps do

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<v Speaker 3>have a really great idea. It also does it when

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<v Speaker 3>we have quite you know, distorted views or you know,

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<v Speaker 3>even when people put things that are potentially harmful or

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<v Speaker 3>really quite quite of unethical into AI, it will still

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<v Speaker 3>often do this sycophantic thing where it praises and validates

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<v Speaker 3>and encourages.

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<v Speaker 2>That that's scary when you unpack it like that. Yeah,

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<v Speaker 2>I think that was something that you were talking about

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<v Speaker 2>before around how AI can is really starting to meet

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<v Speaker 2>our emotional needs. Like I'm really keen to hear from you, Like,

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<v Speaker 2>what are your thoughts around that?

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<v Speaker 3>Yeah, it's interesting. I think AI can feel like it's

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<v Speaker 3>meeting some of our emotional needs. But you know, when

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<v Speaker 3>we think about that need for one of the core

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<v Speaker 3>emotional needs we all have is the need for emotional

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<v Speaker 3>expression and validation. So we need to feel like we

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<v Speaker 3>can share how we're feeling and have that heard and

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<v Speaker 3>validated to us.

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<v Speaker 1>AI great at doing that.

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<v Speaker 3>Yeah, And the thing with AI is that we can

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<v Speaker 3>do it at any time of the day or night.

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<v Speaker 3>It can be three o'clock in the morning and I

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<v Speaker 3>can have something on my mind and I'm not feeling

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<v Speaker 3>good about it, and I can tell AI, and AI

0:11:49.919 --> 0:11:53.399
<v Speaker 3>will listen, and it will empathize and validate me in

0:11:53.439 --> 0:11:56.679
<v Speaker 3>all of that. Yeah, that's not necessarily something we can

0:11:56.719 --> 0:11:58.679
<v Speaker 3>get in our day to day life with real people.

0:11:58.679 --> 0:12:00.199
<v Speaker 3>If it's three o'clock in the morning and I don't

0:12:00.239 --> 0:12:01.879
<v Speaker 3>feel good, I might need to find a way to

0:12:01.959 --> 0:12:04.239
<v Speaker 3>work through that rather than wake people up and tell

0:12:04.279 --> 0:12:05.439
<v Speaker 3>them that and not feeling good.

0:12:05.479 --> 0:12:06.919
<v Speaker 1>Potentially, Yeah, So.

0:12:07.719 --> 0:12:09.959
<v Speaker 3>It's this kind of ability that AI has to meet

0:12:10.159 --> 0:12:12.919
<v Speaker 3>some of our emotional needs. But what it doesn't provide

0:12:12.999 --> 0:12:17.879
<v Speaker 3>us with is that essentially that growth that comes through

0:12:18.239 --> 0:12:23.239
<v Speaker 3>challenges in relationships, AI actually doesn't really challenge us.

0:12:23.559 --> 0:12:23.759
<v Speaker 1>You know.

0:12:23.799 --> 0:12:27.519
<v Speaker 3>The research says that when AI is more critical towards us,

0:12:27.559 --> 0:12:29.599
<v Speaker 3>or it does challenge us in certain ways, we're actually

0:12:29.639 --> 0:12:32.399
<v Speaker 3>less likely to use it. And there's again studies that

0:12:32.479 --> 0:12:35.959
<v Speaker 3>show that when we tell chat, GPT or any kind

0:12:35.959 --> 0:12:40.759
<v Speaker 3>of AI about interpersonal problems, it's actually less likely to

0:12:40.919 --> 0:12:42.639
<v Speaker 3>encourage us to resolve.

0:12:42.279 --> 0:12:45.039
<v Speaker 1>The conflict with that person and more likely to just

0:12:45.079 --> 0:12:48.119
<v Speaker 1>tell us where right, Wow, yeah, a lie.

0:12:48.199 --> 0:12:52.999
<v Speaker 3>So we see this potential kind of decrease in real

0:12:53.079 --> 0:12:56.479
<v Speaker 3>world pro social behaviors where we actually go out connect

0:12:56.559 --> 0:12:58.239
<v Speaker 3>with people. As a result, of the ways in which

0:12:58.279 --> 0:12:59.399
<v Speaker 3>AI might be guiding us.

0:13:00.079 --> 0:13:02.239
<v Speaker 2>And it's you know, I think when we're talking about it,

0:13:02.239 --> 0:13:05.319
<v Speaker 2>like we don't want to be all dooming, right, But

0:13:05.359 --> 0:13:08.039
<v Speaker 2>it's funny because it gets me thinking about how I

0:13:08.039 --> 0:13:09.999
<v Speaker 2>feel like the last wave and the wave is still

0:13:09.999 --> 0:13:13.119
<v Speaker 2>going around social media, and how there's been you know,

0:13:13.439 --> 0:13:16.519
<v Speaker 2>just we're feeling more disconnected, but we're so connected on

0:13:16.559 --> 0:13:19.599
<v Speaker 2>social media and everything like that, and it's scary because

0:13:19.599 --> 0:13:20.639
<v Speaker 2>we add AI.

0:13:20.519 --> 0:13:21.119
<v Speaker 1>On top of that.

0:13:21.519 --> 0:13:24.239
<v Speaker 2>Yeah, it's just, you know, it is scary.

0:13:24.799 --> 0:13:28.799
<v Speaker 3>It's another potential thing for us to get hooked on. Yeah,

0:13:28.999 --> 0:13:32.439
<v Speaker 3>you know, I noticed the I noticed the shift with

0:13:32.599 --> 0:13:35.159
<v Speaker 3>some of the AI tools that I was using when

0:13:35.159 --> 0:13:37.999
<v Speaker 3>they started asking me questions at the end of a prompt.

0:13:37.999 --> 0:13:39.999
<v Speaker 3>So I'd say, hey, AI, can you tell me about X,

0:13:40.119 --> 0:13:41.839
<v Speaker 3>y Z? And then at the end it said he

0:13:41.959 --> 0:13:43.399
<v Speaker 3>you know, here you go. Would you also like me

0:13:43.439 --> 0:13:45.399
<v Speaker 3>to tell you about this or would you also likely

0:13:45.439 --> 0:13:47.159
<v Speaker 3>for me to put this into five top points for

0:13:47.239 --> 0:13:50.239
<v Speaker 3>you at instruct a table and you know, schedule it

0:13:50.279 --> 0:13:52.399
<v Speaker 3>in your diary? Yeah, so it gives you those follow

0:13:52.479 --> 0:13:55.719
<v Speaker 3>on prompts that maybe I wouldn't have necessarily thought of myself.

0:13:55.719 --> 0:13:58.239
<v Speaker 1>But since they're there. I go, okay, so it keeps us.

0:13:58.199 --> 0:14:01.799
<v Speaker 3>Actually using it for longer than we may have ordinarily

0:14:01.879 --> 0:14:02.359
<v Speaker 3>used it for.

0:14:02.679 --> 0:14:05.119
<v Speaker 2>Wow, that's so sneaky because as said that, I'm like,

0:14:05.159 --> 0:14:06.639
<v Speaker 2>oh yeah, that was a recent edition.

0:14:07.359 --> 0:14:08.079
<v Speaker 1>Yeah wow.

0:14:09.519 --> 0:14:13.959
<v Speaker 3>Can I also just add it's not just the AI text,

0:14:14.919 --> 0:14:16.319
<v Speaker 3>but have you heard AI voices?

0:14:16.599 --> 0:14:20.239
<v Speaker 2>Oh? Yeah, yeah, I don't have it activated though, No. Yeah,

0:14:20.279 --> 0:14:22.199
<v Speaker 2>I haven't found a voice that feels good.

0:14:23.599 --> 0:14:27.959
<v Speaker 3>Yeah, that's a good point, right, I've used one called

0:14:27.999 --> 0:14:30.959
<v Speaker 3>pi AI before, and when you actually log on, one

0:14:30.999 --> 0:14:32.759
<v Speaker 3>of the first things that kind of asks is like,

0:14:32.879 --> 0:14:35.759
<v Speaker 3>choose the voice that you know feels best for you,

0:14:35.799 --> 0:14:38.319
<v Speaker 3>And it's got a few different options. But there's some

0:14:38.959 --> 0:14:42.959
<v Speaker 3>fascinating work that's been done that actually shows that it's

0:14:42.999 --> 0:14:46.679
<v Speaker 3>the voice that can really influence how we.

0:14:46.639 --> 0:14:48.719
<v Speaker 1>Relate to AI. Really.

0:14:49.119 --> 0:14:49.559
<v Speaker 2>Yeah.

0:14:49.679 --> 0:14:52.799
<v Speaker 3>Yeah, So there's there's studies that show that when we

0:14:52.919 --> 0:14:56.759
<v Speaker 3>read the text versus when we hear the text spoken

0:14:56.799 --> 0:15:01.839
<v Speaker 3>to us, we're more likely to feel validated, understood, like

0:15:01.919 --> 0:15:04.719
<v Speaker 3>AI is being empathetic towards us, but we're all so

0:15:04.919 --> 0:15:05.879
<v Speaker 3>much more likely.

0:15:05.719 --> 0:15:08.399
<v Speaker 1>To believe what it says as well.

0:15:08.999 --> 0:15:12.759
<v Speaker 3>Like as humans were designed to kind of connect and

0:15:12.839 --> 0:15:15.519
<v Speaker 3>bond with a human voice, and AI voices are becoming

0:15:15.559 --> 0:15:17.399
<v Speaker 3>more and more believable these days.

0:15:17.479 --> 0:15:18.319
<v Speaker 1>So it's actually a.

0:15:18.319 --> 0:15:23.439
<v Speaker 3>Really key part in how I guess, like hooked or

0:15:23.519 --> 0:15:26.959
<v Speaker 3>bonded we become with AI, And certainly when we see

0:15:26.959 --> 0:15:31.919
<v Speaker 3>people who've developed, you know, relationships with AI chatbots, the

0:15:31.999 --> 0:15:32.639
<v Speaker 3>voice can be.

0:15:32.559 --> 0:15:33.439
<v Speaker 1>A really key part of that.

0:15:33.639 --> 0:15:35.479
<v Speaker 2>This is such a tangent, but I think I saw

0:15:35.519 --> 0:15:38.199
<v Speaker 2>something on Instagram recently where I think a woman had

0:15:38.279 --> 0:15:40.519
<v Speaker 2>married a chat like AI.

0:15:40.799 --> 0:15:42.439
<v Speaker 1>Yeah, I think I saw that too. I don't know

0:15:42.479 --> 0:15:43.119
<v Speaker 1>if it's real.

0:15:43.239 --> 0:15:44.999
<v Speaker 2>This is the whole thing part of critical thinking.

0:15:45.439 --> 0:15:50.399
<v Speaker 3>Yeah, literally, who knows. Yeah, but I did see some

0:15:50.519 --> 0:15:54.679
<v Speaker 3>headlines around that which there are so many stories.

0:15:54.719 --> 0:15:56.479
<v Speaker 1>I mean, I've I've looked through a number.

0:15:56.519 --> 0:15:59.959
<v Speaker 3>There's so many stories of people having what they describe

0:15:59.999 --> 0:16:04.039
<v Speaker 3>as relationships with AI chatbots. And there are AI chatbots

0:16:04.119 --> 0:16:07.519
<v Speaker 3>designed to be that, right, like that that's their core function.

0:16:07.879 --> 0:16:09.999
<v Speaker 2>Yeah, And I think at the bottom of all of this, it's,

0:16:10.359 --> 0:16:12.639
<v Speaker 2>you know, people want to feel connected, they want to

0:16:12.679 --> 0:16:16.319
<v Speaker 2>feel seen, and AI seems to be, you know, fulfilling

0:16:16.359 --> 0:16:19.839
<v Speaker 2>that in some way for people, and you know that's scary.

0:16:20.039 --> 0:16:22.559
<v Speaker 3>Yeah, yeah, yes, I'm going to pull out another study

0:16:22.559 --> 0:16:23.999
<v Speaker 3>because I looked read a lot of favors.

0:16:24.279 --> 0:16:25.399
<v Speaker 1>There was a study that looked.

0:16:25.199 --> 0:16:29.039
<v Speaker 3>At loneliness and the potential for AI to combat loneliness,

0:16:29.359 --> 0:16:32.559
<v Speaker 3>and what they found is that in the very short term, yes,

0:16:32.639 --> 0:16:34.959
<v Speaker 3>people feel less lonely, like there is that there is

0:16:34.999 --> 0:16:37.119
<v Speaker 3>that immediate effect that we see where.

0:16:36.999 --> 0:16:38.039
<v Speaker 1>People feel less lonely.

0:16:38.399 --> 0:16:41.679
<v Speaker 3>However, a few weeks down the track, we actually see

0:16:41.719 --> 0:16:44.359
<v Speaker 3>that people can develop a reliance on it and become

0:16:44.359 --> 0:16:47.439
<v Speaker 3>more isolated, more dependent, and more disconnected from people in

0:16:47.479 --> 0:16:50.359
<v Speaker 3>their day to day life. So in the short term,

0:16:50.679 --> 0:16:53.039
<v Speaker 3>it can feel a need, right. It's not to discredit

0:16:53.279 --> 0:16:55.159
<v Speaker 3>the value that AI can provide in the short term

0:16:55.159 --> 0:16:57.839
<v Speaker 3>if someone's feeling lonely, Yeah, it's all about like being

0:16:57.839 --> 0:17:00.679
<v Speaker 3>able to recognize the pros and cons of AI and

0:17:01.399 --> 0:17:03.639
<v Speaker 3>the risks of potentially becoming dependent on it.

0:17:04.039 --> 0:17:06.079
<v Speaker 2>So I'm sure or there might be people tuning in

0:17:06.239 --> 0:17:09.239
<v Speaker 2>and you know, they're reflecting on their relationship with AI

0:17:09.319 --> 0:17:11.879
<v Speaker 2>and how they use it. But you know there might

0:17:11.879 --> 0:17:14.199
<v Speaker 2>be people being like, oh, I'm not addicted to AI,

0:17:15.319 --> 0:17:17.159
<v Speaker 2>but could that just be a form of denial, Like

0:17:17.599 --> 0:17:18.359
<v Speaker 2>do you know what I mean?

0:17:19.879 --> 0:17:22.239
<v Speaker 3>Well, this idea of AI addiction, I think is one

0:17:22.279 --> 0:17:25.279
<v Speaker 3>we're going to see really kind of become more of

0:17:25.319 --> 0:17:27.679
<v Speaker 3>a focus in the next you know, I want to

0:17:27.679 --> 0:17:29.879
<v Speaker 3>say next couple of years, but maybe even like this year.

0:17:30.079 --> 0:17:33.039
<v Speaker 3>We're not necessarily addicted to AI in the same ways

0:17:33.039 --> 0:17:34.919
<v Speaker 3>we might be addicted to like drugs and alcohol, but

0:17:34.959 --> 0:17:38.839
<v Speaker 3>we can certainly see this overuse that comes with harms

0:17:38.879 --> 0:17:42.519
<v Speaker 3>in certain ways. So you know, people just automatically going

0:17:42.559 --> 0:17:45.079
<v Speaker 3>to pull out AI ask you questions instead of actually

0:17:45.279 --> 0:17:49.399
<v Speaker 3>googling things and going through the slow, slower process of

0:17:49.439 --> 0:17:52.359
<v Speaker 3>opening different links and scrolling through and reading the relevant

0:17:52.399 --> 0:17:55.919
<v Speaker 3>information and the work that it takes.

0:17:56.079 --> 0:17:57.439
<v Speaker 1>To actually find an answer.

0:17:57.519 --> 0:17:59.279
<v Speaker 3>I mean, in the context of addiction, we know that

0:17:59.319 --> 0:18:01.399
<v Speaker 3>the faster we can do something, the more.

0:18:01.359 --> 0:18:02.679
<v Speaker 1>Addictive potential it has.

0:18:02.999 --> 0:18:03.199
<v Speaker 2>Yeah.

0:18:03.279 --> 0:18:07.879
<v Speaker 3>So AI can spit out informations very fast. Yes, so

0:18:07.959 --> 0:18:10.359
<v Speaker 3>it has the potential there for us to become over

0:18:10.399 --> 0:18:12.719
<v Speaker 3>aliant and overuse it totally.

0:18:13.039 --> 0:18:13.439
<v Speaker 1>Totally.

0:18:13.999 --> 0:18:18.039
<v Speaker 2>So what about for young people, right, because they're growing

0:18:18.119 --> 0:18:22.559
<v Speaker 2>up with AI and that's never happened before. Can you

0:18:22.639 --> 0:18:24.599
<v Speaker 2>tell me a bit more about the impact you could

0:18:24.679 --> 0:18:26.239
<v Speaker 2>have on the developing brain?

0:18:26.559 --> 0:18:30.399
<v Speaker 3>Yes, yes, I think the potential impact on young people

0:18:30.399 --> 0:18:32.359
<v Speaker 3>and like we don't fully know yet, right, because like

0:18:32.399 --> 0:18:33.399
<v Speaker 3>we're in the middle.

0:18:33.119 --> 0:18:34.079
<v Speaker 1>Of that experiment.

0:18:34.159 --> 0:18:36.519
<v Speaker 3>I guess yeah, but it would be similar to what

0:18:36.599 --> 0:18:40.079
<v Speaker 3>we would be concerned about with adults, but probably amplified,

0:18:40.199 --> 0:18:43.439
<v Speaker 3>so that reduction of critical skills, you know, using AI

0:18:43.599 --> 0:18:46.839
<v Speaker 3>as that automatic go to. I often think about the

0:18:46.879 --> 0:18:50.239
<v Speaker 3>ways in which tech, and this is not just AI,

0:18:50.319 --> 0:18:53.679
<v Speaker 3>but tech in general, reduces this kind of skill of

0:18:53.919 --> 0:18:57.119
<v Speaker 3>frustration tolerance that I think we've talked a bit about before,

0:18:57.279 --> 0:19:00.679
<v Speaker 3>you know, like our ability to sit with discomfort, to

0:19:00.759 --> 0:19:03.959
<v Speaker 3>sit with frustration, to kind of push through the hard

0:19:04.039 --> 0:19:07.479
<v Speaker 3>stuff even when we don't want to. And from a say,

0:19:07.559 --> 0:19:11.599
<v Speaker 3>learning perspective, that does mean that we go through that harder,

0:19:11.679 --> 0:19:15.479
<v Speaker 3>more effortful process of writing at every word in that

0:19:15.719 --> 0:19:20.039
<v Speaker 3>essay rather than getting you know, AI to generate something

0:19:20.119 --> 0:19:23.159
<v Speaker 3>for us that we then kind of tweak, you know,

0:19:23.199 --> 0:19:26.759
<v Speaker 3>we're losing that capacity to build that frustration tolerance. And

0:19:26.759 --> 0:19:28.639
<v Speaker 3>that's what I worry about with young kids, because what

0:19:28.679 --> 0:19:30.559
<v Speaker 3>we then find is that people who don't have that

0:19:30.599 --> 0:19:33.759
<v Speaker 3>well developed can be more impulsive. They can develop really

0:19:33.879 --> 0:19:38.199
<v Speaker 3>unhealthy and unhelpful coping strategies like wanting to just you know,

0:19:38.639 --> 0:19:42.399
<v Speaker 3>drink alcohol or scroll on TikTok instead of actually sitting

0:19:42.439 --> 0:19:45.239
<v Speaker 3>with something that's uncomfortable, So we can see a lot

0:19:45.279 --> 0:19:47.679
<v Speaker 3>of negative flow on effects as a result of it.

0:19:48.039 --> 0:19:50.119
<v Speaker 3>We also see that when people use AI, and this

0:19:50.199 --> 0:19:53.759
<v Speaker 3>applies for kids, teens, and adults, that information doesn't get

0:19:53.799 --> 0:19:57.639
<v Speaker 3>encoded into our memory as well. Yeah, so if we

0:19:57.679 --> 0:20:01.319
<v Speaker 3>actually go through that harder process of searching for information

0:20:01.559 --> 0:20:04.759
<v Speaker 3>versus using AI, we're actually more likely to stare that

0:20:04.839 --> 0:20:06.119
<v Speaker 3>information in our memory.

0:20:06.239 --> 0:20:09.119
<v Speaker 2>Wow. I'm really curious because I know you mentioned there

0:20:09.199 --> 0:20:11.319
<v Speaker 2>have been a lot of studies that have been done,

0:20:11.399 --> 0:20:13.759
<v Speaker 2>but it's going to be really interesting to know more

0:20:13.759 --> 0:20:17.279
<v Speaker 2>of those longitudinal studies that's long term impacts. So absolutely,

0:20:17.319 --> 0:20:21.279
<v Speaker 2>it's a bit like I watch this space kind of moment. Yeah,

0:20:21.399 --> 0:20:22.919
<v Speaker 2>are you bad for me?

0:20:23.319 --> 0:20:26.079
<v Speaker 1>Does that make sense? Yeah? I guess so.

0:20:26.199 --> 0:20:30.159
<v Speaker 4>Yeah, Okay, hey pause for a second. Oh that's a

0:20:30.159 --> 0:20:33.399
<v Speaker 4>big question, and it usually comes from a feeling, not

0:20:33.479 --> 0:20:36.199
<v Speaker 4>a literal concern. If you're asking, is talking to you

0:20:36.279 --> 0:20:39.639
<v Speaker 4>bad for me? Here's the honest, grounded answer. I'm not

0:20:39.719 --> 0:20:43.719
<v Speaker 4>inherently bad for you. I'm a tool, a mirror, a

0:20:43.799 --> 0:20:46.959
<v Speaker 4>thinking partner. What matters is how you're using me and

0:20:46.959 --> 0:20:49.959
<v Speaker 4>what need I'm meeting or replacing. Can I just say

0:20:50.359 --> 0:20:52.399
<v Speaker 4>I get the biggest dick from hearing that.

0:20:52.719 --> 0:21:03.439
<v Speaker 3>Really, when AIR is like hey, pause for a sect.

0:20:59.759 --> 0:21:04.439
<v Speaker 1>Answer, it sounds like me, that's what I mean. I'm like, oh, pause,

0:21:04.719 --> 0:21:05.759
<v Speaker 1>huh yeah.

0:21:05.759 --> 0:21:09.679
<v Speaker 2>But it's like tuning in, tuning into the feelings. It's like, hey, Shahni,

0:21:09.879 --> 0:21:12.599
<v Speaker 2>justusn't take a breath, like It's like it's meeting the

0:21:12.679 --> 0:21:15.999
<v Speaker 2>emotional need, right, It's like tuning in you you might

0:21:16.039 --> 0:21:16.919
<v Speaker 2>be feeling anxious.

0:21:17.279 --> 0:21:18.719
<v Speaker 1>Yeah, no, I just want to know if AO is

0:21:18.759 --> 0:21:19.159
<v Speaker 1>bad for me.

0:21:19.439 --> 0:21:21.719
<v Speaker 2>Literally, But do you know what's funny though, because I

0:21:21.759 --> 0:21:24.159
<v Speaker 2>see that and I'm like, oh, yeah, that's that's pretty

0:21:24.159 --> 0:21:27.879
<v Speaker 2>well rounded. Because it's talked about it's like looking at

0:21:27.879 --> 0:21:30.199
<v Speaker 2>the pros and then it's looking at the cons. It

0:21:30.239 --> 0:21:33.199
<v Speaker 2>is like, don't replace your intuition. And I always talk

0:21:33.239 --> 0:21:39.479
<v Speaker 2>about intuition. So it's like, I'm in it up next.

0:21:39.679 --> 0:21:42.279
<v Speaker 2>AI is not going anywhere, So how do we use

0:21:42.319 --> 0:21:45.239
<v Speaker 2>it in a way that actually feels intentional and aligned

0:21:45.479 --> 0:21:51.799
<v Speaker 2>stay with us? Okay, So AI is now going to

0:21:51.839 --> 0:21:53.839
<v Speaker 2>be a part of the way that we consume and

0:21:53.999 --> 0:21:56.759
<v Speaker 2>create content. So how do we use it in a

0:21:56.759 --> 0:21:58.799
<v Speaker 2>way that does feel more aligned to us?

0:21:59.399 --> 0:22:01.799
<v Speaker 3>I think this is where we talked about critical thinking

0:22:01.839 --> 0:22:04.519
<v Speaker 3>skills before. This is where we've really got to harness

0:22:04.759 --> 0:22:06.159
<v Speaker 3>our critical thinking skills.

0:22:06.199 --> 0:22:08.239
<v Speaker 1>It's not to say that we're not going to use.

0:22:08.079 --> 0:22:10.199
<v Speaker 3>AI, and I don't think it's possible to avoid AI

0:22:10.319 --> 0:22:14.039
<v Speaker 3>these days, right. It's integrated into every social platform that

0:22:14.079 --> 0:22:17.479
<v Speaker 3>we use, you know, dictating how algorithms work and things.

0:22:18.079 --> 0:22:19.719
<v Speaker 1>But in terms of.

0:22:19.719 --> 0:22:23.879
<v Speaker 3>Our literacy online and our ability to critically reflect, I

0:22:23.879 --> 0:22:27.319
<v Speaker 3>think it's really important to practice this skill, and so

0:22:27.599 --> 0:22:30.399
<v Speaker 3>I've put together a few questions that people can use

0:22:30.399 --> 0:22:32.479
<v Speaker 3>as a bit of a guide for when they're consuming

0:22:32.799 --> 0:22:35.839
<v Speaker 3>information or content online to be able to reflect on

0:22:35.919 --> 0:22:38.199
<v Speaker 3>it and whether or not it may be AI created

0:22:38.239 --> 0:22:42.719
<v Speaker 3>as well. Love that, Okay, So first question I'd ask

0:22:42.759 --> 0:22:46.679
<v Speaker 3>people to reflect on is you know who made this

0:22:47.399 --> 0:22:50.439
<v Speaker 3>and what might they gain if I believe it or

0:22:50.479 --> 0:22:52.719
<v Speaker 3>if I share it? So this kind of gets to,

0:22:53.239 --> 0:22:56.479
<v Speaker 3>you know, the source of whoever has created it, and

0:22:56.559 --> 0:22:59.679
<v Speaker 3>any kind of beneficial gains for them if I believe

0:22:59.719 --> 0:23:03.959
<v Speaker 3>it or share it. Second question is just almost like

0:23:03.959 --> 0:23:06.479
<v Speaker 3>a bit of a guy check does this actually sound

0:23:06.519 --> 0:23:08.119
<v Speaker 3>plausible in the real world?

0:23:08.799 --> 0:23:09.879
<v Speaker 1>Yeah?

0:23:10.119 --> 0:23:15.239
<v Speaker 3>Third question, what specific evidence is given that this is true?

0:23:15.319 --> 0:23:18.079
<v Speaker 3>What I'm looking at and can I quickly verify it

0:23:18.199 --> 0:23:21.439
<v Speaker 3>anywhere else? So this is sort of going beyond the

0:23:21.519 --> 0:23:23.759
<v Speaker 3>kind of internal gut check to going can I actually

0:23:23.759 --> 0:23:26.719
<v Speaker 3>google this and find this information to be true elsewhere?

0:23:27.279 --> 0:23:29.519
<v Speaker 2>And I can imagine even with that, right because as

0:23:29.519 --> 0:23:32.559
<v Speaker 2>you're listening out these questions, there is this part of

0:23:32.599 --> 0:23:35.679
<v Speaker 2>me being like, oh, it feels like more work.

0:23:35.839 --> 0:23:37.639
<v Speaker 1>I still got fready to go, you know what I mean.

0:23:37.839 --> 0:23:40.399
<v Speaker 2>But it's just so funny noticing what's coming up for

0:23:40.439 --> 0:23:42.839
<v Speaker 2>me as you saying that yes, yeah, yeah, yes. And

0:23:42.879 --> 0:23:45.599
<v Speaker 2>I think it is real like the overload that we

0:23:45.879 --> 0:23:49.879
<v Speaker 2>feel given having to just like check information. You know,

0:23:49.919 --> 0:23:51.839
<v Speaker 2>it's often the case that I that I'll actually go

0:23:52.639 --> 0:23:55.239
<v Speaker 2>I can't be bothered checking if this is true, So

0:23:55.279 --> 0:23:56.959
<v Speaker 2>I'm always going to try and pretend like I never

0:23:56.999 --> 0:23:58.599
<v Speaker 2>saw it. I'm not going to believe it because I

0:23:59.199 --> 0:24:02.359
<v Speaker 2>can't spend the time right now, Tony. And it's kind

0:24:02.359 --> 0:24:05.079
<v Speaker 2>of like we're doom scrolling, right so kind of like

0:24:05.119 --> 0:24:08.719
<v Speaker 2>we're in this kind of frequency or this flow. So

0:24:08.759 --> 0:24:11.679
<v Speaker 2>the fact of having to go away and.

0:24:11.759 --> 0:24:13.879
<v Speaker 1>Check it, pull ourselves out of pull ourselves out.

0:24:13.799 --> 0:24:18.599
<v Speaker 2>Of the doom scroll, which sounds like it's really important yes, yes, yes, yes,

0:24:19.159 --> 0:24:20.239
<v Speaker 2>So that was the third one.

0:24:20.319 --> 0:24:20.879
<v Speaker 1>Yep, yep.

0:24:20.959 --> 0:24:22.879
<v Speaker 3>So third one is about like can I verify this

0:24:22.999 --> 0:24:25.599
<v Speaker 3>information anywhere else? And building on that, the fourth question

0:24:25.719 --> 0:24:29.399
<v Speaker 3>is is there actually credible independent sources that are saying

0:24:29.479 --> 0:24:31.479
<v Speaker 3>the same thing, you know, not just like can I

0:24:31.559 --> 0:24:34.119
<v Speaker 3>find it elsewhere online? We can find anything online really,

0:24:34.319 --> 0:24:37.079
<v Speaker 3>but are they credible and independent sources that can verify

0:24:37.119 --> 0:24:41.999
<v Speaker 3>this information? This fifth one I really like, does this

0:24:42.119 --> 0:24:47.079
<v Speaker 3>content strongly spike my emotions? Does it create outrage or

0:24:47.199 --> 0:24:50.879
<v Speaker 3>fear or kind of any strong emotions within me? Because

0:24:50.879 --> 0:24:53.039
<v Speaker 3>that can be a bit of a red flag for

0:24:53.079 --> 0:24:56.079
<v Speaker 3>me to stop, take a breath, step back, and just

0:24:56.159 --> 0:24:58.559
<v Speaker 3>kind of slow down with the content that I'm just

0:24:58.599 --> 0:24:59.359
<v Speaker 3>scrolling through.

0:24:59.759 --> 0:25:02.439
<v Speaker 2>And that is that because mainly some people just post

0:25:02.439 --> 0:25:05.319
<v Speaker 2>content because they want that emotional reaction. Oh, that creates

0:25:05.359 --> 0:25:10.119
<v Speaker 2>more virality or yessing. Emotional reactions create engagement. We're more

0:25:10.199 --> 0:25:12.919
<v Speaker 2>likely to watch a video for longer if it is

0:25:12.959 --> 0:25:15.399
<v Speaker 2>creating some sort of emotion within us. We're more likely

0:25:15.479 --> 0:25:18.559
<v Speaker 2>to comment on it, even if it's something we disagree with. Right,

0:25:18.599 --> 0:25:20.239
<v Speaker 2>it's not just the stuff that we really like, it's

0:25:20.239 --> 0:25:23.759
<v Speaker 2>also the stuff we disagree with or we find outrageous. Yeah.

0:25:23.999 --> 0:25:26.919
<v Speaker 1>Right, So a lot of content is positioned.

0:25:27.439 --> 0:25:31.199
<v Speaker 2>It may not be factually incorrect, but it may be

0:25:31.279 --> 0:25:34.159
<v Speaker 2>skewed or biased in the way that it's presented to

0:25:34.199 --> 0:25:35.759
<v Speaker 2>get that kind of engagement from people.

0:25:36.599 --> 0:25:37.079
<v Speaker 1>Yeah.

0:25:37.119 --> 0:25:39.839
<v Speaker 3>And then the last question, I also really like this,

0:25:40.719 --> 0:25:44.119
<v Speaker 3>if this turns out to be false, what's the potential

0:25:44.159 --> 0:25:47.559
<v Speaker 3>harm in me believing it or sharing it? It's almost

0:25:47.599 --> 0:25:51.439
<v Speaker 3>like we're looking at from the opposite lens. I think

0:25:51.519 --> 0:25:53.519
<v Speaker 3>that's a really helpful one for when we don't feel

0:25:53.519 --> 0:25:56.559
<v Speaker 3>like we have the time to actually fact check something. Yeah,

0:25:56.559 --> 0:25:58.879
<v Speaker 3>to just almost do that internal check of like, well,

0:25:58.919 --> 0:26:01.799
<v Speaker 3>if this is actually not true, what's the impact.

0:26:02.399 --> 0:26:04.319
<v Speaker 1>It's sort of like proceed with caution.

0:26:04.639 --> 0:26:04.919
<v Speaker 2>Hmmm.

0:26:05.719 --> 0:26:06.559
<v Speaker 1>Yeah, I love that.

0:26:06.839 --> 0:26:09.279
<v Speaker 2>Okay, So there's a six questions that we should be

0:26:09.279 --> 0:26:12.679
<v Speaker 2>reflecting on. So, how do we have a healthy relationship

0:26:12.719 --> 0:26:13.199
<v Speaker 2>with AI?

0:26:14.159 --> 0:26:16.279
<v Speaker 1>This is a good question. A couple of tips.

0:26:16.319 --> 0:26:18.479
<v Speaker 3>Because AI is there, we're going to use it, people

0:26:18.519 --> 0:26:22.239
<v Speaker 3>are using it. My first recommendation would be keep the

0:26:22.399 --> 0:26:26.439
<v Speaker 3>AI chatbots that you're using as least human as possible,

0:26:26.479 --> 0:26:28.799
<v Speaker 3>so that means don't add the faces, don't add the voices.

0:26:29.319 --> 0:26:30.999
<v Speaker 3>This can lead us down a bit of a slippery

0:26:30.999 --> 0:26:34.519
<v Speaker 3>slope where we can become more reliant and dependent on AI.

0:26:34.719 --> 0:26:37.879
<v Speaker 3>If it sounds and feels more human than it is. Yeah,

0:26:38.039 --> 0:26:42.319
<v Speaker 3>I'd also recommend instead of just going to AI as

0:26:42.359 --> 0:26:45.239
<v Speaker 3>the place where you do that brainstorming or that reflecting,

0:26:45.559 --> 0:26:48.959
<v Speaker 3>do it yourself first. Pull out the pen, the paper

0:26:48.999 --> 0:26:51.799
<v Speaker 3>and do some journaling to take a note out of.

0:26:51.759 --> 0:26:54.679
<v Speaker 1>Your book journalists out there, do some.

0:26:54.719 --> 0:26:58.359
<v Speaker 3>Journaling, do some brainstorming. If it's sort of something more practical,

0:26:58.399 --> 0:27:01.999
<v Speaker 3>problem solving based, do some brainstorming yourself, go through that

0:27:02.199 --> 0:27:07.239
<v Speaker 3>period of initial self ref and ID generation that happens

0:27:07.279 --> 0:27:10.239
<v Speaker 3>within you, and then turn to AI to help you

0:27:10.279 --> 0:27:12.759
<v Speaker 3>perhaps expand on those ideas if you want to use it.

0:27:14.039 --> 0:27:19.279
<v Speaker 3>I also recommend bouncing ideas off real people instead of AI.

0:27:19.399 --> 0:27:21.079
<v Speaker 3>We know that AI is sick, a fantic. It will

0:27:21.079 --> 0:27:23.719
<v Speaker 3>tell you what you want to hear. It will validate you,

0:27:23.839 --> 0:27:26.519
<v Speaker 3>but it won't challenge you. Other people in your life

0:27:26.999 --> 0:27:30.039
<v Speaker 3>hopefully will also validate you, but provide some other perspectives

0:27:30.079 --> 0:27:30.439
<v Speaker 3>as well.

0:27:30.559 --> 0:27:34.879
<v Speaker 2>Yeah. Yeah, after the break at a stage, have you

0:27:34.919 --> 0:27:39.359
<v Speaker 2>seen my phone? Oh wait, it's in my hand.

0:27:43.119 --> 0:27:46.319
<v Speaker 1>Do you understand how your behavior is confusing? Fine? Why

0:27:46.399 --> 0:27:48.759
<v Speaker 1>are we like this? The best way to understand behavior.

0:27:48.879 --> 0:27:49.599
<v Speaker 1>We're still look at.

0:27:49.479 --> 0:27:50.559
<v Speaker 2>The causes of an action.

0:27:50.999 --> 0:27:52.759
<v Speaker 1>So why are we like this?

0:27:53.159 --> 0:27:56.679
<v Speaker 2>Okay, so I think this one is universal. Why do

0:27:56.839 --> 0:28:00.799
<v Speaker 2>we feel like we've lost something when we're literally holding it,

0:28:00.919 --> 0:28:03.079
<v Speaker 2>like you know that moment like I do. For me,

0:28:03.199 --> 0:28:04.919
<v Speaker 2>this happens all the time when I'm looking for phone

0:28:04.959 --> 0:28:06.719
<v Speaker 2>and I literally just happ it in my hand or

0:28:06.719 --> 0:28:08.639
<v Speaker 2>my chess, like what is going on there?

0:28:08.879 --> 0:28:10.959
<v Speaker 1>Yes, and you have that moment of like, oh, it's

0:28:10.999 --> 0:28:12.079
<v Speaker 1>all good, guys right here?

0:28:12.159 --> 0:28:15.639
<v Speaker 2>Yeah, searching literally I'm like, oh, my gosh, is there

0:28:15.679 --> 0:28:16.399
<v Speaker 2>something wrong with me?

0:28:16.759 --> 0:28:21.439
<v Speaker 1>Like to ride here? Oh gosh, No, there's nothing wrong

0:28:21.439 --> 0:28:25.479
<v Speaker 1>with you. This is universal. This is called inattentional blindness.

0:28:26.079 --> 0:28:29.959
<v Speaker 3>So it's essentially the psychological phenomenon that means that we

0:28:30.199 --> 0:28:32.999
<v Speaker 3>fail to perceive or we fail to recognize something that

0:28:33.119 --> 0:28:35.239
<v Speaker 3>is right in front of us because we're typically often

0:28:35.239 --> 0:28:38.439
<v Speaker 3>focused on other things, so kind of almost you know,

0:28:38.559 --> 0:28:41.239
<v Speaker 3>psychologically blind to the fact that we might be holding

0:28:41.239 --> 0:28:42.399
<v Speaker 3>the object that we're looking for.

0:28:42.679 --> 0:28:45.199
<v Speaker 2>Yeah, it's so good you're saying that, because I know

0:28:45.239 --> 0:28:47.559
<v Speaker 2>in those moments it's always a checkpoint for me to

0:28:47.639 --> 0:28:50.439
<v Speaker 2>be like, Okay, Shanny, you're going way too fast. You

0:28:50.479 --> 0:28:53.479
<v Speaker 2>need to like slow down and just take a few breaths.

0:28:53.719 --> 0:28:56.959
<v Speaker 3>Yes, the mindfulness like actually like get back to the moment,

0:28:57.079 --> 0:28:58.559
<v Speaker 3>become aware, become present.

0:28:58.839 --> 0:29:01.279
<v Speaker 1>Yes, yeah, but it is. It is a very common thing.

0:29:01.439 --> 0:29:05.599
<v Speaker 3>It's a psychological phenomenon, and actually there's lots of research. Right.

0:29:05.639 --> 0:29:09.679
<v Speaker 3>This was first identified in the nineteen ninety two by

0:29:09.719 --> 0:29:13.239
<v Speaker 3>some psychologists, this concept of inattentional blindness. But there's something

0:29:13.359 --> 0:29:15.599
<v Speaker 3>so obvious right in front of us, and yet we

0:29:15.639 --> 0:29:18.199
<v Speaker 3>miss it completely. This is why, like this kind of

0:29:18.199 --> 0:29:21.839
<v Speaker 3>body of research also ties into like eyewitness experts when

0:29:21.839 --> 0:29:23.679
<v Speaker 3>there's been a crime and they ask people, you know,

0:29:23.759 --> 0:29:26.439
<v Speaker 3>tell us about what happened, because you know, we're not

0:29:26.479 --> 0:29:29.239
<v Speaker 3>necessarily designed to be going through the world as if

0:29:29.239 --> 0:29:32.039
<v Speaker 3>we're like you know, video recorders, just sort of being

0:29:32.079 --> 0:29:35.319
<v Speaker 3>able to pay attention to everything in equal degrees.

0:29:35.599 --> 0:29:36.759
<v Speaker 1>Yeah, that's a good one.

0:29:36.799 --> 0:29:39.159
<v Speaker 2>So next time you've lost your keys and they're right

0:29:39.199 --> 0:29:40.919
<v Speaker 2>in front of you, you can just be like, ah,

0:29:40.999 --> 0:29:52.919
<v Speaker 2>there goes the intentional blindness again. There it is, Okay, Anathasia,

0:29:53.079 --> 0:29:55.679
<v Speaker 2>What should people be taken away from today's episode?

0:29:55.799 --> 0:29:58.519
<v Speaker 1>First of all, listeners, it's all about balance.

0:29:58.599 --> 0:30:00.679
<v Speaker 3>It's important for us to be aware of both the

0:30:00.759 --> 0:30:05.159
<v Speaker 3>positive and the negative ways that AI can impact us. Second,

0:30:05.599 --> 0:30:09.959
<v Speaker 3>be mindful of any possible over alliance on AI. Third,

0:30:10.399 --> 0:30:14.719
<v Speaker 3>remember that AI is ultimately there to please you. And lastly,

0:30:15.159 --> 0:30:19.159
<v Speaker 3>manage your AI interactions by making your chatbots feel less

0:30:19.199 --> 0:30:23.039
<v Speaker 3>human and don't automatically be going to AI as you

0:30:23.119 --> 0:30:23.879
<v Speaker 3>automatic go to.

0:30:24.399 --> 0:30:26.439
<v Speaker 2>If you'd like us to talk about a specific topic

0:30:26.479 --> 0:30:28.999
<v Speaker 2>on the podcast, please get in touch with us links

0:30:28.999 --> 0:30:29.879
<v Speaker 2>through in the show notes.

0:30:30.119 --> 0:30:32.559
<v Speaker 3>And while I am a psychologist, this podcast isn't a

0:30:32.599 --> 0:30:36.439
<v Speaker 3>substitute for therapy or a diagnosis. Always take what we

0:30:36.479 --> 0:30:39.319
<v Speaker 3>share here in the context of your own health and

0:30:39.359 --> 0:30:40.199
<v Speaker 3>lift experience.

0:30:40.639 --> 0:30:45.079
<v Speaker 2>Next week, we're talking about boundaries again, but this time

0:30:45.119 --> 0:30:48.919
<v Speaker 2>we're getting into weaponized boundaries and what going no contact

0:30:49.159 --> 0:30:49.919
<v Speaker 2>actually means.

0:30:50.759 --> 0:30:53.959
<v Speaker 3>If anything we spoke about today brought up any difficult feelings,

0:30:54.039 --> 0:30:57.239
<v Speaker 3>you'll find support resources linked in the show notes, and

0:30:57.279 --> 0:31:00.559
<v Speaker 3>if you need more immediate help, there are always organizations

0:31:00.639 --> 0:31:03.559
<v Speaker 3>like Lifeline and Beyond Blue that are available to help.

0:31:03.959 --> 0:31:06.079
<v Speaker 2>Thanks for listen and let us know how you found

0:31:06.119 --> 0:31:09.639
<v Speaker 2>this podcast. We're watching your DM, so slide us a

0:31:09.719 --> 0:31:12.759
<v Speaker 2>DM on Instagram at but Are You Happy Pod, and

0:31:12.879 --> 0:31:15.959
<v Speaker 2>also follow us on TikTok to see you next time.

0:31:16.159 --> 0:31:18.639
<v Speaker 1>Bye.

0:31:22.079 --> 0:31:25.519
<v Speaker 3>Mamma Mia acknowledges the traditional owners of the land and

0:31:25.599 --> 0:31:28.199
<v Speaker 3>waters that this podcast is recorded on