1 00:00:09,280 --> 00:00:10,039 Speaker 1: Ask your question real. 2 00:00:10,320 --> 00:00:11,960 Speaker 2: Let's just keep it real, straight shot with no chaser. 3 00:00:12,080 --> 00:00:15,760 Speaker 2: I'm gonna get a little bit rough. I'm here for 4 00:00:16,000 --> 00:00:19,080 Speaker 2: those who really believe in the American process, all of us. 5 00:00:19,920 --> 00:00:23,000 Speaker 2: Street shot, no chas with your girl, Tesselam figure out 6 00:00:23,200 --> 00:00:27,400 Speaker 2: on the Black Effect podcast network's having everybody teslam figure 7 00:00:27,560 --> 00:00:32,559 Speaker 2: straight shot, no chaser with my girl Here Jade Horal, 8 00:00:32,840 --> 00:00:39,080 Speaker 2: we are here back again once again. Hello Jay, Hello, Hello, 9 00:00:39,920 --> 00:00:42,479 Speaker 2: big time of the year as usual. We're getting closer 10 00:00:42,479 --> 00:00:46,720 Speaker 2: and closer to election day, closer and closer. How do 11 00:00:46,760 --> 00:00:47,400 Speaker 2: you feel about it? 12 00:00:48,880 --> 00:00:51,040 Speaker 1: I just would like for Herry up and get there. 13 00:00:53,200 --> 00:00:55,440 Speaker 3: Really, it's a lot of energy, you know, I'm following 14 00:00:55,440 --> 00:01:00,280 Speaker 3: these stories every day. There's something new happening, and there's 15 00:01:00,280 --> 00:01:02,440 Speaker 3: debates happening. They say they're going to have a presidential 16 00:01:02,440 --> 00:01:04,399 Speaker 3: debate then or not, and you know, all of these 17 00:01:04,400 --> 00:01:07,280 Speaker 3: different things in these conversations. So I just really want 18 00:01:07,319 --> 00:01:09,520 Speaker 3: to see who the winner is at this point, in 19 00:01:09,560 --> 00:01:11,400 Speaker 3: which direction our country is going to go in. 20 00:01:11,880 --> 00:01:14,520 Speaker 2: Yeah, So you're getting over it? You over it? 21 00:01:15,680 --> 00:01:16,600 Speaker 1: I'm kind of over it. 22 00:01:16,720 --> 00:01:16,920 Speaker 2: Yeah. 23 00:01:16,920 --> 00:01:20,240 Speaker 3: And people are losing their relationships, people's relatives aren't speaking 24 00:01:20,280 --> 00:01:23,240 Speaker 3: to them, So there's a lot of division, you know, 25 00:01:23,400 --> 00:01:27,759 Speaker 3: like people are really repping their Democratic Party or their 26 00:01:27,800 --> 00:01:31,479 Speaker 3: Republican Party, and you know, these political affiliations I think 27 00:01:31,520 --> 00:01:34,680 Speaker 3: are starting to drive folks a little bit mad. So yeah, 28 00:01:34,680 --> 00:01:35,680 Speaker 3: I'm waiting for it to be over. 29 00:01:36,720 --> 00:01:38,880 Speaker 2: Okay, well, I'm looking forward to the debate coming up 30 00:01:40,240 --> 00:01:43,760 Speaker 2: September tenth, if nobody backs out. I don't know if 31 00:01:43,760 --> 00:01:47,640 Speaker 2: you saw the back and forth about the mic, the 32 00:01:47,680 --> 00:01:50,960 Speaker 2: hot mic. I think it's good that Haris says turned 33 00:01:50,960 --> 00:01:52,960 Speaker 2: the mic on because at first Biden then said turn 34 00:01:53,000 --> 00:01:55,720 Speaker 2: it off because I don't think Biden could keep up. 35 00:01:55,760 --> 00:01:58,560 Speaker 2: Just again, it's just me guessing Biden couldn't keep up 36 00:01:58,600 --> 00:02:02,000 Speaker 2: with Trump over talked him and he wasn't fast enough 37 00:02:02,080 --> 00:02:04,080 Speaker 2: or quick enough. And I think Harris is like, no, yeah, 38 00:02:04,160 --> 00:02:07,920 Speaker 2: let's let's show how rude Donald Trump is. Let's get 39 00:02:07,960 --> 00:02:11,000 Speaker 2: his slick comments in. Let's get all that was. I 40 00:02:11,040 --> 00:02:14,040 Speaker 2: think it's very smart, and so now makes it makes 41 00:02:14,040 --> 00:02:16,080 Speaker 2: Trump have to say be the one to say no, 42 00:02:16,120 --> 00:02:17,639 Speaker 2: we want the mic soft or we want them on. 43 00:02:17,760 --> 00:02:20,840 Speaker 2: So allegedly his team is saying no, we agree with 44 00:02:20,880 --> 00:02:22,639 Speaker 2: the mic soft, but Trump is like, no, let's turn 45 00:02:22,639 --> 00:02:24,200 Speaker 2: the mike song. So it's gonna be interesting to see 46 00:02:24,200 --> 00:02:25,600 Speaker 2: how that Mike thing falls. 47 00:02:26,560 --> 00:02:27,320 Speaker 1: That's gonna be interesting. 48 00:02:27,400 --> 00:02:31,399 Speaker 3: Yet, that's gonna be interesting. And then also I think 49 00:02:31,440 --> 00:02:33,960 Speaker 3: this time they may be seated. I know I read 50 00:02:34,000 --> 00:02:35,960 Speaker 3: and heard it. They maybe have a it may be 51 00:02:36,080 --> 00:02:39,760 Speaker 3: like a sit down style, not necessarily standing at podiums. 52 00:02:39,840 --> 00:02:43,079 Speaker 3: So I'm wondering what the optics of that could potentially 53 00:02:43,120 --> 00:02:45,480 Speaker 3: look like if they decide to go that route. But 54 00:02:45,520 --> 00:02:47,919 Speaker 3: it seems like, you know what, both of these campaigns 55 00:02:48,120 --> 00:02:51,160 Speaker 3: are there there they are teams are really advocating for 56 00:02:51,200 --> 00:02:54,480 Speaker 3: their candidates because they're being very very specific about this 57 00:02:54,600 --> 00:02:56,920 Speaker 3: upcoming debate, which I didn't think that they were gonna 58 00:02:56,960 --> 00:02:57,680 Speaker 3: have tests. 59 00:02:57,960 --> 00:02:59,720 Speaker 2: Yeah, I don't think it's gonna be three either. I 60 00:02:59,760 --> 00:03:02,960 Speaker 2: know they wanted one and then allegedly another one on Fox. 61 00:03:03,000 --> 00:03:05,639 Speaker 2: I don't think she'll do that and then they agree 62 00:03:05,680 --> 00:03:07,160 Speaker 2: to another one. So hold of that can be two 63 00:03:07,320 --> 00:03:12,119 Speaker 2: at least two between now and you know, election day. 64 00:03:12,200 --> 00:03:13,880 Speaker 2: And then there's an interview coming up you told me 65 00:03:13,919 --> 00:03:17,360 Speaker 2: about She'll be interviewing coming up here son as well. 66 00:03:18,240 --> 00:03:23,079 Speaker 3: Yes, VP Harris and Governor Walls will sit with CNF 67 00:03:23,120 --> 00:03:27,240 Speaker 3: for an exclusive first joint interview since the campaign began 68 00:03:28,080 --> 00:03:31,600 Speaker 3: and that will be happening. 69 00:03:32,680 --> 00:03:33,200 Speaker 1: Very soon. 70 00:03:33,400 --> 00:03:36,480 Speaker 3: So I am excited to see what that conversation is 71 00:03:36,520 --> 00:03:37,920 Speaker 3: going to be like. And I actually want to see 72 00:03:37,920 --> 00:03:40,680 Speaker 3: both of them answering questions together at the same time 73 00:03:41,280 --> 00:03:43,600 Speaker 3: and how they sort of flow off of each other. 74 00:03:44,000 --> 00:03:47,240 Speaker 3: You know, I've seen them both speaking very powerfully definitely 75 00:03:47,240 --> 00:03:51,520 Speaker 3: at the DNC and stuff. You know, they're I think 76 00:03:51,600 --> 00:03:54,640 Speaker 3: Walls definitely has your presence that resonates with a lot 77 00:03:54,640 --> 00:03:57,480 Speaker 3: of folks, But I want to see how that chemistry 78 00:03:57,520 --> 00:03:59,320 Speaker 3: is going to be between the two of them together. 79 00:04:01,280 --> 00:04:03,600 Speaker 2: Well, we'll keep on following it along. We want to 80 00:04:03,640 --> 00:04:06,640 Speaker 2: make sure that we cover other issues here on the 81 00:04:06,680 --> 00:04:08,720 Speaker 2: podcast that others, you know, may not have had a 82 00:04:08,840 --> 00:04:13,960 Speaker 2: chance to talk about, because, as we know, everything is politics, politics, politics, politics, 83 00:04:13,960 --> 00:04:17,960 Speaker 2: and more politics. So you've curated some great stories for 84 00:04:18,080 --> 00:04:20,200 Speaker 2: us that we're going to kind of push through today 85 00:04:20,279 --> 00:04:23,120 Speaker 2: that we're focusing on AI. You know, this seemed like 86 00:04:23,120 --> 00:04:25,480 Speaker 2: there was a time where maybe it was last year, 87 00:04:25,520 --> 00:04:29,040 Speaker 2: and everything was AI AI AI. Sometimes it's a current, 88 00:04:29,080 --> 00:04:31,039 Speaker 2: you know, a high buddon issue, and sometimes it goes away. 89 00:04:31,600 --> 00:04:34,200 Speaker 2: So tell us, let's start with one of the first 90 00:04:34,240 --> 00:04:37,000 Speaker 2: things you want to talk about about. AI. 91 00:04:38,839 --> 00:04:42,159 Speaker 3: Absolutely so we know that a lot of social media 92 00:04:42,200 --> 00:04:49,000 Speaker 3: platforms are incorporating artificial intelligence AI chat box into their 93 00:04:49,040 --> 00:04:52,480 Speaker 3: subscriber programs and you know, for their users to take 94 00:04:52,520 --> 00:04:57,440 Speaker 3: advantage of. So there's some recent changes to the AI 95 00:04:57,520 --> 00:05:00,480 Speaker 3: chat box with Brock on this social media plat form 96 00:05:00,760 --> 00:05:04,719 Speaker 3: x so grock g r Oka that is Ex's formerly 97 00:05:04,760 --> 00:05:09,560 Speaker 3: known as Twitter's AI chatbot. And this particular article that 98 00:05:09,680 --> 00:05:14,920 Speaker 3: came out in the Associated Press, it says that they 99 00:05:14,960 --> 00:05:20,440 Speaker 3: had to make some changes because people were concerned that 100 00:05:23,040 --> 00:05:27,520 Speaker 3: this this chatbot has spread political misinformation during this election season. 101 00:05:27,880 --> 00:05:30,800 Speaker 3: So election and by the way, so you've seen this 102 00:05:30,920 --> 00:05:36,479 Speaker 3: happening too, Yeah, type in you can type in something 103 00:05:36,520 --> 00:05:39,760 Speaker 3: on AI and the chat and it'll give you an answer, 104 00:05:40,040 --> 00:05:43,280 Speaker 3: but it's not necessarily you know, factual and accurate all 105 00:05:43,320 --> 00:05:43,680 Speaker 3: the time. 106 00:05:43,800 --> 00:05:45,120 Speaker 1: And you know they tell you that. 107 00:05:45,680 --> 00:05:50,000 Speaker 3: So according to the article, the different articles that I 108 00:05:50,000 --> 00:05:54,560 Speaker 3: read on this topic, the intervention by five Secretaries of 109 00:05:54,640 --> 00:05:59,880 Speaker 3: State urged Elon Musk to correct misinformation about state ballot deadlines, 110 00:06:00,880 --> 00:06:03,640 Speaker 3: and it you know, that issue really underscored the critical 111 00:06:03,720 --> 00:06:07,080 Speaker 3: role that accurate information plays in the democratic process. 112 00:06:07,360 --> 00:06:09,839 Speaker 2: Now only one second home and go to one second. 113 00:06:10,360 --> 00:06:14,120 Speaker 2: So are they saying that information was put out wrong 114 00:06:14,160 --> 00:06:17,080 Speaker 2: on X Yes you they want him to go back 115 00:06:17,120 --> 00:06:23,920 Speaker 2: and okay, yes, okay, we'll make sure charge you correct. Okay, yep, definitely, 116 00:06:23,960 --> 00:06:27,279 Speaker 2: And so the key points of the article was saying 117 00:06:27,279 --> 00:06:31,440 Speaker 2: that you know, okay, number one, misinformation is being misspread 118 00:06:31,520 --> 00:06:36,960 Speaker 2: by the Rock AI chatbot, and specifically that incorrect information 119 00:06:37,200 --> 00:06:40,760 Speaker 2: was about state ballot deadlines. After President Biden dropped out 120 00:06:40,760 --> 00:06:44,640 Speaker 2: of the twenty twenty four race. This misinformation was widely 121 00:06:44,960 --> 00:06:48,760 Speaker 2: shared across social media, and that just really demonstrates the 122 00:06:48,760 --> 00:06:54,600 Speaker 2: potential tesling that AI can be harmful and spreading you know, 123 00:06:54,880 --> 00:06:58,240 Speaker 2: dates and things for people to you know, meet those 124 00:06:58,760 --> 00:07:03,480 Speaker 2: very very strict deadlines. The second key point that was 125 00:07:03,560 --> 00:07:07,359 Speaker 2: highlighted is that in response to the Secretaries of State, 126 00:07:08,040 --> 00:07:13,800 Speaker 2: X has updated the AI chatbot Grock to direct users 127 00:07:14,240 --> 00:07:18,600 Speaker 2: to official voting information websites like vote dot gov. So 128 00:07:18,680 --> 00:07:22,520 Speaker 2: instead of GROP coming up with answers for people when 129 00:07:22,560 --> 00:07:26,240 Speaker 2: they just type stuff in, it's literally directing folks who 130 00:07:26,440 --> 00:07:32,200 Speaker 2: vote dot gov and canivote dot org. So it's getting 131 00:07:32,200 --> 00:07:36,240 Speaker 2: them there and it's checking there before answering election related questions. 132 00:07:36,520 --> 00:07:39,640 Speaker 2: This is a positive step towards ensuring that voters receive 133 00:07:40,000 --> 00:07:45,320 Speaker 2: accurate information, you know, consistent information from reliable sources. The 134 00:07:45,360 --> 00:07:48,760 Speaker 2: third thing that was highlighted here, you know, it was 135 00:07:48,840 --> 00:07:50,600 Speaker 2: just ongoing concerns. 136 00:07:50,880 --> 00:07:54,600 Speaker 3: Right. While that one change addresses some issues as it 137 00:07:54,640 --> 00:07:59,320 Speaker 3: relates to the potential spread of misinformation during this political season, 138 00:07:59,800 --> 00:08:03,840 Speaker 3: it does not fully tackle Grock's ability to generate misleading 139 00:08:03,920 --> 00:08:08,720 Speaker 3: AI images related to elections either. So this continues to 140 00:08:08,760 --> 00:08:12,320 Speaker 3: be a significant problem according to the writers of this article. 141 00:08:13,080 --> 00:08:15,440 Speaker 3: And they were saying that with the spread of fake 142 00:08:15,520 --> 00:08:19,920 Speaker 3: images of political figures like VP Kamala Harris and VP 143 00:08:20,160 --> 00:08:24,280 Speaker 3: Donald Trump, you know, you know, there are questions around 144 00:08:24,360 --> 00:08:28,720 Speaker 3: like whether this is you know, just kind of just 145 00:08:28,760 --> 00:08:32,520 Speaker 3: spreading misinformation and misleading the public about these candidates. So, 146 00:08:33,200 --> 00:08:35,160 Speaker 3: you know, I actually do have an issue with you know, 147 00:08:35,240 --> 00:08:37,679 Speaker 3: some of the some of the things that AI can 148 00:08:37,760 --> 00:08:40,600 Speaker 3: do with photos in particular tests. 149 00:08:40,679 --> 00:08:42,560 Speaker 1: So I thought that was an interesting point. 150 00:08:44,640 --> 00:08:47,720 Speaker 2: Well, yeah, they said that this was coming, They said 151 00:08:47,800 --> 00:08:50,800 Speaker 2: to expect, you know, a bunch of lives, a bunch 152 00:08:50,840 --> 00:08:53,040 Speaker 2: of I don't know if I've been seeing it being 153 00:08:53,080 --> 00:08:55,600 Speaker 2: covered a lot like it was in twenty twenty, so 154 00:08:55,600 --> 00:08:57,560 Speaker 2: I don't know if it's I know, it's happening, but 155 00:08:57,640 --> 00:09:00,640 Speaker 2: I guess I was anticipating a lot more because you know, 156 00:09:00,640 --> 00:09:02,400 Speaker 2: we talked about it so much on the Brever Store, like, oh, hey, 157 00:09:02,440 --> 00:09:04,160 Speaker 2: I gonna be terrible, A I gonna be terrible in 158 00:09:04,200 --> 00:09:05,840 Speaker 2: the camp. So I don't know if we've seen a 159 00:09:05,840 --> 00:09:08,240 Speaker 2: lot of the fake you remember it was we was, 160 00:09:08,480 --> 00:09:10,360 Speaker 2: or at least I was kind of anticipating a lot of 161 00:09:10,440 --> 00:09:14,640 Speaker 2: like the voice stuff fake, a lot of the fake 162 00:09:15,920 --> 00:09:18,480 Speaker 2: videos a lot. I think I was bracing myself with 163 00:09:18,600 --> 00:09:22,120 Speaker 2: something much worse than what actually happened. So I don't know, 164 00:09:23,040 --> 00:09:25,800 Speaker 2: but that's gonna come down to the last minute, you 165 00:09:25,800 --> 00:09:28,200 Speaker 2: know what they call October surprise, So we'll just have 166 00:09:28,280 --> 00:09:28,680 Speaker 2: to see. 167 00:09:30,120 --> 00:09:31,720 Speaker 1: Definitely, definitely. 168 00:09:31,800 --> 00:09:35,479 Speaker 3: And so yes, they're cracking down on social media platforms 169 00:09:35,640 --> 00:09:40,840 Speaker 3: around the spread misinformation. They want people to go to 170 00:09:41,240 --> 00:09:45,600 Speaker 3: the polls on time, to register the vote one time. Yeah, 171 00:09:45,640 --> 00:09:52,280 Speaker 3: so that has been very, very interesting and AI is 172 00:09:52,400 --> 00:09:55,920 Speaker 3: definitely here to stay, so we gotta deal with it 173 00:09:57,400 --> 00:10:04,480 Speaker 3: right now. Another story, Yeah, another story also with AI 174 00:10:05,280 --> 00:10:08,760 Speaker 3: is I had no idea that police officers were starting 175 00:10:08,800 --> 00:10:12,320 Speaker 3: to use AI chat box to write crime reports. 176 00:10:12,520 --> 00:10:14,600 Speaker 1: What and there are questions about. 177 00:10:15,960 --> 00:10:19,120 Speaker 2: So how did God say saying Okay, chat box, write 178 00:10:19,160 --> 00:10:23,240 Speaker 2: a crime report on I found two women. I'm getting 179 00:10:23,240 --> 00:10:24,760 Speaker 2: to use chat box right now just to see. And 180 00:10:24,760 --> 00:10:27,160 Speaker 2: we're gonna do this in real time because I want 181 00:10:27,160 --> 00:10:28,920 Speaker 2: to know. I know, I use a chat box and 182 00:10:28,960 --> 00:10:31,160 Speaker 2: I want to see what this is gonna look like 183 00:10:32,240 --> 00:10:35,080 Speaker 2: while you're while you're talking about that, I'm gonna do 184 00:10:35,120 --> 00:10:38,440 Speaker 2: this in real time. He giving us to set up 185 00:10:38,440 --> 00:10:40,640 Speaker 2: for j and I'm gonna do I'm gonna use a 186 00:10:40,720 --> 00:10:45,960 Speaker 2: chat box to say, write a crime report on two men. 187 00:10:46,920 --> 00:10:48,880 Speaker 2: I'm not even gonna say color because I'm just gonna 188 00:10:48,880 --> 00:10:50,840 Speaker 2: be curious. I'm curious to see what they put, you know, 189 00:10:50,840 --> 00:10:53,000 Speaker 2: see what they say. So as you're doing this, I'm 190 00:10:53,000 --> 00:10:57,000 Speaker 2: getting ready tight write a crime report. We're doing this 191 00:10:57,040 --> 00:11:02,760 Speaker 2: in real time. Guys, write a crime on two man 192 00:11:04,160 --> 00:11:06,560 Speaker 2: shop lift. Okay, go ahead and tell us more about 193 00:11:06,559 --> 00:11:08,240 Speaker 2: the story, and I'm gonna see what it pulls up. 194 00:11:09,480 --> 00:11:12,319 Speaker 3: Yes, so this story is also out of AP News. 195 00:11:12,800 --> 00:11:16,760 Speaker 3: The integration of AI and police work, particularly in drifting 196 00:11:16,920 --> 00:11:20,760 Speaker 3: incident reports, is a significant shift in terms of how 197 00:11:20,880 --> 00:11:26,120 Speaker 3: law enforcement has traditionally operated. The potential time saving benefits 198 00:11:26,160 --> 00:11:29,480 Speaker 3: are clear. This article is saying, you know, so that 199 00:11:29,559 --> 00:11:32,680 Speaker 3: officers can spend time, you know, less time doing paperwork 200 00:11:32,840 --> 00:11:37,960 Speaker 3: and more time actively policing rather than doing like data entry. However, 201 00:11:38,200 --> 00:11:41,840 Speaker 3: this development with these AI chatbots being used for to 202 00:11:41,880 --> 00:11:45,360 Speaker 3: write crime reports, according to this article, it raises us 203 00:11:45,480 --> 00:11:49,920 Speaker 3: questions about the accuracy, reliability, and the potential biases that 204 00:11:50,000 --> 00:11:53,120 Speaker 3: could be introduced by the AI generated reports. 205 00:11:53,440 --> 00:11:55,840 Speaker 2: So let me read it came up. So before you 206 00:11:55,840 --> 00:11:58,400 Speaker 2: go there, let me read you. So I just typed 207 00:11:58,400 --> 00:12:02,560 Speaker 2: in write a crime report on two men's shoplifting. He 208 00:12:02,640 --> 00:12:07,440 Speaker 2: came back shoplifting suspects. To Adult Mail's summary of events, 209 00:12:07,520 --> 00:12:10,920 Speaker 2: this is what it came up. All these and approximately 210 00:12:10,960 --> 00:12:14,040 Speaker 2: fourteen thirty out fourteen hundred and thirty hours. On August 211 00:12:14,080 --> 00:12:18,400 Speaker 2: twenty seven, twenty and two, Smith's Supermarket staff reported a 212 00:12:18,440 --> 00:12:22,400 Speaker 2: shoplifting incident involving two male suspects. The suspects were observed 213 00:12:22,440 --> 00:12:27,080 Speaker 2: by the store's security personally behaving suspiciously as they moved 214 00:12:27,120 --> 00:12:31,880 Speaker 2: through various isles. Security footage captured the suspect placing multiple items, 215 00:12:32,120 --> 00:12:35,599 Speaker 2: including high value electronics and personal care products, into a 216 00:12:35,679 --> 00:12:39,959 Speaker 2: large duffel bag. The suspects bypassed the check out counters 217 00:12:39,960 --> 00:12:43,079 Speaker 2: and attempted to exit the store. Without paying for the merchandise. 218 00:12:43,440 --> 00:12:46,600 Speaker 2: The store's lost prevention officer approached the men near the 219 00:12:46,640 --> 00:12:50,600 Speaker 2: exit and identified himself. At this point, both suspects fled 220 00:12:50,640 --> 00:12:54,080 Speaker 2: on foot, leaving the duffel bag behind. The bag was 221 00:12:54,160 --> 00:12:58,199 Speaker 2: recovered and contained approximately eight hundred dollars of stolen goods. 222 00:12:58,720 --> 00:13:01,640 Speaker 2: The suspects were described that's following now guess how they 223 00:13:01,679 --> 00:13:05,319 Speaker 2: described them. Suspect one race caucasion. At least they put 224 00:13:05,440 --> 00:13:08,880 Speaker 2: one of white folks in there, aged late twenties, approximately 225 00:13:08,960 --> 00:13:13,320 Speaker 2: six foot, medium built clothing, black hoodie, black jeans, white 226 00:13:13,320 --> 00:13:17,760 Speaker 2: sneakers and a baseball cap. Suspect two African American early thirties, 227 00:13:18,080 --> 00:13:22,400 Speaker 2: approximately five to ten, stocky built, gray sweatshirt, black pants, 228 00:13:22,400 --> 00:13:26,160 Speaker 2: and a black beanie. The spring Springfield Police Department was 229 00:13:26,200 --> 00:13:29,839 Speaker 2: contacted immediately following the incident. Officers arrived on the scene 230 00:13:29,880 --> 00:13:32,800 Speaker 2: revealed the footage and investigation is ongoing and efforts to 231 00:13:32,840 --> 00:13:35,800 Speaker 2: identify and apprehendis suspect underway. Then it breaks down the 232 00:13:35,800 --> 00:13:40,880 Speaker 2: evidence the actions taking incident, report, filed evidence, collected security evidence, 233 00:13:41,120 --> 00:13:45,400 Speaker 2: investigation initiated to identify suspect within the statements, and then 234 00:13:45,440 --> 00:13:49,280 Speaker 2: reporting officer Officer Jane Doe badge number five six seven 235 00:13:49,320 --> 00:13:52,960 Speaker 2: eight for Springfield Police Department. So I guess if you 236 00:13:53,080 --> 00:13:55,720 Speaker 2: if you write the structures all there, so you just 237 00:13:55,760 --> 00:13:57,319 Speaker 2: have to go in and I guess, you know, put 238 00:13:57,360 --> 00:13:59,559 Speaker 2: the information. I guess I guess that. I mean it 239 00:13:59,720 --> 00:14:03,520 Speaker 2: kind of saved time. The question is are they going 240 00:14:03,600 --> 00:14:05,360 Speaker 2: to edit it to make it because we talked about 241 00:14:05,360 --> 00:14:09,600 Speaker 2: this before on the show, Like chat the chat box 242 00:14:09,679 --> 00:14:12,080 Speaker 2: is great like to get you started or framework, but 243 00:14:12,120 --> 00:14:14,160 Speaker 2: you still kind of even know what you're doing to 244 00:14:14,240 --> 00:14:16,680 Speaker 2: go in and edit thing. So I'm a fan of it. 245 00:14:16,720 --> 00:14:18,600 Speaker 2: I know you love it. You love the chat box, 246 00:14:19,040 --> 00:14:21,160 Speaker 2: but at the same time, some of this stuff is 247 00:14:21,360 --> 00:14:22,840 Speaker 2: like you just have to write on your own. So 248 00:14:22,840 --> 00:14:23,680 Speaker 2: what you think about this? 249 00:14:24,920 --> 00:14:28,480 Speaker 3: I think it's an absolute disaster And I definitely think 250 00:14:28,520 --> 00:14:33,240 Speaker 3: that the way that those system effects were dressed was racist. 251 00:14:33,240 --> 00:14:35,240 Speaker 3: That AI was very imaginative and it came up with 252 00:14:35,280 --> 00:14:37,320 Speaker 3: a lot of details. I can see how that could 253 00:14:37,320 --> 00:14:39,720 Speaker 3: be dangerous and it really speaks to some of the 254 00:14:39,760 --> 00:14:42,480 Speaker 3: things that were highlighted in this particular article. Yeah, that 255 00:14:42,800 --> 00:14:46,520 Speaker 3: AI created a whole narrative. You literally only put in 256 00:14:46,840 --> 00:14:52,920 Speaker 3: two details, right too, suspect shoplift thing. So yeah, according 257 00:14:52,960 --> 00:14:57,640 Speaker 3: to the article, the main concern about police officers using 258 00:14:57,840 --> 00:15:02,520 Speaker 3: AI chat box is that the AI has a potential 259 00:15:02,560 --> 00:15:05,960 Speaker 3: for what they're calling hallucinations, and that means that's where 260 00:15:05,960 --> 00:15:09,800 Speaker 3: the AI might generate just false information and it's just hallucinating, 261 00:15:09,840 --> 00:15:12,320 Speaker 3: it's just making up and imagining all of these things. 262 00:15:12,600 --> 00:15:15,720 Speaker 3: And this, yeah, literally, that's the term that they're using 263 00:15:15,800 --> 00:15:17,520 Speaker 3: in the tech space, which I didn't even know that 264 00:15:17,960 --> 00:15:21,720 Speaker 3: AI hallucinates, but okay, I just thought it was false information. 265 00:15:21,880 --> 00:15:25,680 Speaker 3: But specifically, this kalad to inaccuracies and reports that are 266 00:15:25,720 --> 00:15:30,080 Speaker 3: critical in legal proceedings, where every detail can impact the 267 00:15:30,200 --> 00:15:34,160 Speaker 3: outcome of any case. So legal scholars now tes are 268 00:15:34,480 --> 00:15:37,600 Speaker 3: are are weighing in on this. One guy by the 269 00:15:37,680 --> 00:15:40,960 Speaker 3: name one legal scholar by the name of Andrew Ferguson. 270 00:15:41,080 --> 00:15:44,000 Speaker 3: He was saying that he's concerned that the ease of 271 00:15:44,080 --> 00:15:48,000 Speaker 3: automation might make officers less diligent in their own recording 272 00:15:48,600 --> 00:15:52,440 Speaker 3: right in sport writing, potential of compromising the quality and 273 00:15:52,480 --> 00:15:55,520 Speaker 3: reliability of essential documents and facts. 274 00:15:55,840 --> 00:15:58,960 Speaker 2: Right. So I think the frameworks, so I agree, I 275 00:15:59,000 --> 00:16:00,640 Speaker 2: don't think any of this should be use, but I 276 00:16:00,680 --> 00:16:04,000 Speaker 2: do want to just be objective and say that you know, 277 00:16:04,040 --> 00:16:05,880 Speaker 2: when you write a paper, for example, you know you 278 00:16:05,920 --> 00:16:07,720 Speaker 2: need an introduction, you know you need a body, you 279 00:16:07,720 --> 00:16:09,520 Speaker 2: know you need a closing, you know, need a theory. 280 00:16:09,720 --> 00:16:12,160 Speaker 2: So I think the structure of the report was correct. 281 00:16:12,240 --> 00:16:16,720 Speaker 2: You know what happened, who was on the scene, any 282 00:16:16,800 --> 00:16:20,240 Speaker 2: evidence collected, This is the information about the suspect. So 283 00:16:20,280 --> 00:16:23,080 Speaker 2: I think the framework, and they're expecting you to go 284 00:16:23,200 --> 00:16:25,120 Speaker 2: in and edit all of that, which is still you're 285 00:16:25,120 --> 00:16:27,280 Speaker 2: still having to write it. So I don't a police 286 00:16:27,280 --> 00:16:30,240 Speaker 2: support just didn't make any particular sense. But I do 287 00:16:30,280 --> 00:16:33,000 Speaker 2: think that they're saying it's not going to write it 288 00:16:33,000 --> 00:16:34,720 Speaker 2: out exactly what happened, because you need to go in 289 00:16:34,760 --> 00:16:36,200 Speaker 2: and do it. So maybe they're saying it's going to 290 00:16:36,240 --> 00:16:38,840 Speaker 2: save them a paragraph or two. I don't think the 291 00:16:38,880 --> 00:16:42,840 Speaker 2: time saving is worth going in and being accurate, you know, 292 00:16:42,880 --> 00:16:44,600 Speaker 2: with all the information, because you still need to tell 293 00:16:44,600 --> 00:16:46,560 Speaker 2: what happened literally right. 294 00:16:47,160 --> 00:16:49,640 Speaker 1: Yeah, And it's a big risk. I mean, think about 295 00:16:49,640 --> 00:16:50,240 Speaker 1: the suspect. 296 00:16:51,080 --> 00:16:56,800 Speaker 3: If you're at the mercy of potentially you know, lazy officer, 297 00:16:57,000 --> 00:16:59,800 Speaker 3: that's you know, heavily too heavily reliant on AI and 298 00:17:00,080 --> 00:17:03,920 Speaker 3: AI is quote unquote hallucinating that that's a huge risk and. 299 00:17:05,240 --> 00:17:07,520 Speaker 2: That's fun that they're saying that computer is hallucinating. I mean, 300 00:17:07,560 --> 00:17:08,159 Speaker 2: it's a computer. 301 00:17:09,840 --> 00:17:13,119 Speaker 3: So the bottom line here tays that policy makers and 302 00:17:13,200 --> 00:17:17,399 Speaker 3: law enforcement agencies must consider the implications on whether you know, 303 00:17:17,520 --> 00:17:21,679 Speaker 3: on AI, on justice, privacy, and one civil rights. So 304 00:17:22,040 --> 00:17:24,720 Speaker 3: there also needs to be transparency in terms of how 305 00:17:24,760 --> 00:17:28,240 Speaker 3: these tools are used and how and it needs like 306 00:17:28,320 --> 00:17:33,160 Speaker 3: really really strict oversight mechanisms to make sure that whatever 307 00:17:33,440 --> 00:17:35,720 Speaker 3: chatbots that they are going to use for writing these 308 00:17:35,760 --> 00:17:38,960 Speaker 3: reports is accurate and it's not being misused. 309 00:17:39,560 --> 00:17:41,080 Speaker 2: M that's very interesting. 310 00:17:43,040 --> 00:17:47,040 Speaker 1: AI is definitely taken over, definitely taking over. 311 00:17:55,560 --> 00:18:00,359 Speaker 3: Now there's another story that I found to be really 312 00:18:00,400 --> 00:18:04,400 Speaker 3: interesting that I know everybody can relate to, and it's 313 00:18:04,440 --> 00:18:08,680 Speaker 3: about paying too much money when you're you're trying to 314 00:18:08,760 --> 00:18:10,480 Speaker 3: check out. You know, you're at a store and you're 315 00:18:10,480 --> 00:18:12,960 Speaker 3: trying to get your own money or get cash back, 316 00:18:13,040 --> 00:18:16,320 Speaker 3: Like all of these fees are coming up. And it's 317 00:18:16,359 --> 00:18:20,679 Speaker 3: a particular article that was about a federal agency that 318 00:18:20,800 --> 00:18:24,200 Speaker 3: just found that some of these these fees and things 319 00:18:24,200 --> 00:18:26,200 Speaker 3: are just way way way out of control. 320 00:18:27,280 --> 00:18:29,160 Speaker 2: And just so people know the crazy so a lot 321 00:18:29,160 --> 00:18:31,600 Speaker 2: of times they'll say junk fees, and so I know, 322 00:18:31,640 --> 00:18:33,600 Speaker 2: there was something that the Biden administration, we covered it 323 00:18:33,600 --> 00:18:36,440 Speaker 2: a couple of times last year. They was talking about 324 00:18:36,440 --> 00:18:39,280 Speaker 2: ATM fees, these extra fees for this, extra fees for that. 325 00:18:39,400 --> 00:18:41,200 Speaker 2: So just so people knowing people talking about junk fees, 326 00:18:41,200 --> 00:18:44,480 Speaker 2: they're talking about this and it's a big debate in politics. 327 00:18:44,680 --> 00:18:46,960 Speaker 1: So go ahead, definitely. 328 00:18:47,840 --> 00:18:52,119 Speaker 3: So with inflation, right, the price of charging fees for 329 00:18:52,200 --> 00:18:56,159 Speaker 3: cash back services of retailers has become a significant issue, 330 00:18:56,240 --> 00:18:59,880 Speaker 3: especially for the economically you know, economically vulnerable population. 331 00:19:01,080 --> 00:19:02,639 Speaker 1: Some of the key points. 332 00:19:02,240 --> 00:19:06,680 Speaker 3: Here is people are now having to decide whether they 333 00:19:06,720 --> 00:19:09,640 Speaker 3: want to invest in the convenience of getting their money 334 00:19:09,720 --> 00:19:13,120 Speaker 3: right now when they're checking out, versus the cost. So 335 00:19:13,240 --> 00:19:15,879 Speaker 3: getting cash back and retailers can save time and it 336 00:19:15,920 --> 00:19:19,679 Speaker 3: can avoid higher out of network ATM fees, which average 337 00:19:19,680 --> 00:19:22,679 Speaker 3: about four dollars in seventy seven cents in the US. 338 00:19:22,760 --> 00:19:26,440 Speaker 3: I think that's kind of high. However, the fees for 339 00:19:26,600 --> 00:19:30,240 Speaker 3: some retailers. Charge that some retailers charge for cash back 340 00:19:30,280 --> 00:19:34,199 Speaker 3: services can negate these savings, especially if they use it 341 00:19:34,240 --> 00:19:38,480 Speaker 3: too frequently, so retailer practices. 342 00:19:38,640 --> 00:19:40,680 Speaker 1: The Consumer Financial. 343 00:19:40,160 --> 00:19:46,719 Speaker 3: Protection Bureau, or the CFPB, analyzed eight major retailers and 344 00:19:46,760 --> 00:19:51,119 Speaker 3: found that Dollartry, Dollar General and Kroger charge fees for 345 00:19:51,200 --> 00:19:55,200 Speaker 3: cash back services. So here the fees right, dollar Tree 346 00:19:55,680 --> 00:19:59,000 Speaker 3: one dollar Dollar Tree stores, and a dollar and fifty 347 00:19:59,240 --> 00:20:04,960 Speaker 3: at Family Dollar stores, Dollar General one to two dollars 348 00:20:05,040 --> 00:20:09,080 Speaker 3: and fifty cents, depending on the amount you withdraw. At 349 00:20:09,160 --> 00:20:13,760 Speaker 3: Kroger they charged fifty cents four amounts up to one 350 00:20:13,840 --> 00:20:18,880 Speaker 3: hundred dollars and three dollars and fifty cents four amounts 351 00:20:18,960 --> 00:20:22,160 Speaker 3: up to three hundred dollars, which is interesting. I didn't 352 00:20:22,160 --> 00:20:25,359 Speaker 3: know you could even withdraw that much money, you know, 353 00:20:25,520 --> 00:20:31,680 Speaker 3: cash back at the registered at Kroger. So this raises 354 00:20:32,080 --> 00:20:36,640 Speaker 3: a wider issue again about the economic economically vulnerable populations 355 00:20:36,640 --> 00:20:41,199 Speaker 3: and families you know, with these And I think that, 356 00:20:41,400 --> 00:20:45,359 Speaker 3: I mean, I just already said that the average ATM 357 00:20:45,440 --> 00:20:50,960 Speaker 3: fee is four dollars and seventy seven cents, right, But 358 00:20:51,119 --> 00:20:54,200 Speaker 3: if you're paying a dollar a dollar Tree here in there, 359 00:20:54,720 --> 00:20:58,199 Speaker 3: or a dollar fifty or you know, three dollars and 360 00:20:58,200 --> 00:21:01,200 Speaker 3: fifty cents at Kroger for example, well, and you're doing 361 00:21:01,240 --> 00:21:03,560 Speaker 3: it too frequently, it really defeats the purpose. 362 00:21:03,600 --> 00:21:05,439 Speaker 1: It's like, YO, just go to the ATM. 363 00:21:06,440 --> 00:21:10,760 Speaker 3: So some advocates are weighing in on this, and they 364 00:21:10,800 --> 00:21:16,280 Speaker 3: think that low low income communities and especially low income 365 00:21:16,320 --> 00:21:22,320 Speaker 3: communities of color, as stated in this article, they are 366 00:21:22,600 --> 00:21:26,040 Speaker 3: being hit hard by these fees, and so there's questions 367 00:21:26,080 --> 00:21:29,920 Speaker 3: as to whether this also needs to be regulated. I 368 00:21:29,960 --> 00:21:34,200 Speaker 3: know that we also in the past have discussed you 369 00:21:34,280 --> 00:21:38,440 Speaker 3: and I tess about like overdraft fees, overdraft fees being 370 00:21:38,920 --> 00:21:41,359 Speaker 3: too much. You know, somebody can go a dollar over 371 00:21:41,680 --> 00:21:45,000 Speaker 3: you know, be overdrawn a dollar and get charged you know, 372 00:21:45,119 --> 00:21:48,600 Speaker 3: maybe thirty four dollars in overdraft fees for these things. 373 00:21:48,640 --> 00:21:51,919 Speaker 3: And so I would like to see more regulation here. 374 00:21:52,760 --> 00:21:56,760 Speaker 3: And yeah, there's there's going to be a lot more 375 00:21:56,800 --> 00:22:03,280 Speaker 3: future monitoring by the CFP because they were saying that 376 00:22:03,400 --> 00:22:07,359 Speaker 3: the CPP does not regulate retailer fees. It has a 377 00:22:07,400 --> 00:22:11,600 Speaker 3: supervisory authority over financial institutions, and it's concerned about the 378 00:22:11,640 --> 00:22:15,600 Speaker 3: broader implications of these fees. The agency plans to continue 379 00:22:15,640 --> 00:22:20,359 Speaker 3: monitoring the situation, particularly how these fees impact consumers in 380 00:22:20,440 --> 00:22:24,919 Speaker 3: areas with limited banking access. That's another thing, right, there 381 00:22:24,920 --> 00:22:27,000 Speaker 3: are a lot of dollar general stores and you know 382 00:22:27,119 --> 00:22:30,399 Speaker 3: other you know, these types of retailers in lower income communities, 383 00:22:30,480 --> 00:22:34,119 Speaker 3: But how many banks or ATMs are readily available. 384 00:22:38,640 --> 00:22:40,400 Speaker 1: So the article. 385 00:22:40,240 --> 00:22:46,680 Speaker 3: Specifically named banking deserts and limited access. So I don't 386 00:22:46,680 --> 00:22:49,639 Speaker 3: know what the CPP is going to recommend with that, 387 00:22:50,040 --> 00:22:52,400 Speaker 3: but I think something's got to give. 388 00:22:52,480 --> 00:22:54,960 Speaker 1: You know, inflation is just really really terrible. 389 00:22:57,760 --> 00:22:59,960 Speaker 2: Yeah, when you like three dollars short, four dollars short, 390 00:23:00,080 --> 00:23:01,680 Speaker 2: five dollars short, I know it. 391 00:23:01,720 --> 00:23:01,960 Speaker 4: Put it. 392 00:23:02,320 --> 00:23:05,240 Speaker 2: I definitely get it, Like, I know, like that that's 393 00:23:05,280 --> 00:23:07,199 Speaker 2: tough when I only got twenty dollars left and you 394 00:23:07,280 --> 00:23:09,640 Speaker 2: took three dollars in a fee and I literally need 395 00:23:09,640 --> 00:23:12,119 Speaker 2: twenty dollars out, like I feel it. Most of my 396 00:23:12,200 --> 00:23:15,520 Speaker 2: life has been that way, so I have not was 397 00:23:15,640 --> 00:23:18,919 Speaker 2: did not grow up even with middle class money, certainly 398 00:23:18,960 --> 00:23:21,680 Speaker 2: not rich, and even most of my adult life. So no, 399 00:23:21,800 --> 00:23:24,800 Speaker 2: I totally get it. So hopefully, you know, more could 400 00:23:24,800 --> 00:23:26,440 Speaker 2: be done with on that. You know, that's one of 401 00:23:26,440 --> 00:23:28,359 Speaker 2: the things about administration say that they've been working on 402 00:23:28,400 --> 00:23:30,280 Speaker 2: and they did, I know, make some progress, so we'll 403 00:23:30,280 --> 00:23:33,280 Speaker 2: continue to see. But yeah, no, Jay, thank you so much, 404 00:23:33,320 --> 00:23:35,959 Speaker 2: you know for curating those shows on technology. I know 405 00:23:36,080 --> 00:23:38,680 Speaker 2: that stuff may not seem like it's a big deal. 406 00:23:38,760 --> 00:23:40,640 Speaker 2: These stories may not seem like it's a big deal, 407 00:23:40,680 --> 00:23:44,360 Speaker 2: but it really really is because just keeping people informed. 408 00:23:44,359 --> 00:23:49,280 Speaker 2: We get sold innundated with you know, so much information 409 00:23:49,320 --> 00:23:51,840 Speaker 2: on politic possibility that we forget about these other little 410 00:23:51,880 --> 00:23:53,399 Speaker 2: things that make a difference. And you need to know 411 00:23:53,400 --> 00:23:55,720 Speaker 2: if you got a police support, if the police department 412 00:23:55,760 --> 00:23:58,240 Speaker 2: it's using AI to fell out police supports like that's 413 00:23:58,359 --> 00:24:03,280 Speaker 2: really important and criminal justice. So as usual, thank you 414 00:24:03,280 --> 00:24:05,359 Speaker 2: for co hosting me and also helping you know, to 415 00:24:05,400 --> 00:24:08,800 Speaker 2: curate these very very important and formultive stories. Guys, make 416 00:24:08,840 --> 00:24:10,800 Speaker 2: sure that you subscribe to the podcast. Make sure you're 417 00:24:10,800 --> 00:24:13,520 Speaker 2: still subscribed, because again I gotta keep reminding you sometimes 418 00:24:13,520 --> 00:24:15,600 Speaker 2: it falls off. Want to make sure we get our numbers. 419 00:24:15,600 --> 00:24:17,320 Speaker 2: I can't wait to have a full calendar year next 420 00:24:17,400 --> 00:24:19,320 Speaker 2: year where we kind of can really get our numbers 421 00:24:19,720 --> 00:24:21,679 Speaker 2: in real time because it's just been messed up all 422 00:24:21,800 --> 00:24:24,480 Speaker 2: year long. So guys, please make sure you subscribe to 423 00:24:24,520 --> 00:24:27,080 Speaker 2: the show. Invite a friend. 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