1 00:00:00,360 --> 00:00:03,800 Speaker 1: In a major blow to LGBTQ rights, on the last 2 00:00:03,840 --> 00:00:07,840 Speaker 1: day of the term, the Supreme Court's conservative majority rule 3 00:00:07,920 --> 00:00:11,479 Speaker 1: that a Christian graphic artist doesn't have to create wedding 4 00:00:11,520 --> 00:00:15,920 Speaker 1: websites for same sex couples, saying forcing Laurie Smith to 5 00:00:16,000 --> 00:00:20,920 Speaker 1: do so would violate her free speech rights. Transportation Secretary 6 00:00:20,960 --> 00:00:24,400 Speaker 1: Pete Buddha Judge told CNN that Smith appeared to have 7 00:00:24,440 --> 00:00:27,240 Speaker 1: gone into the wedding business to create a case for 8 00:00:27,280 --> 00:00:27,760 Speaker 1: the court. 9 00:00:28,040 --> 00:00:30,400 Speaker 2: In that sense, I think there's something in common between 10 00:00:30,400 --> 00:00:33,320 Speaker 2: this Supreme Court ruling and what we're seeing happening in 11 00:00:33,360 --> 00:00:36,360 Speaker 2: state legislatures across the country, which is kind of a 12 00:00:36,360 --> 00:00:40,200 Speaker 2: solution looking for a problem, in other words, sending these 13 00:00:40,280 --> 00:00:42,640 Speaker 2: kinds of things to the courts and sending these kinds 14 00:00:42,640 --> 00:00:45,879 Speaker 2: of things to state legislatures for the clear purpose of 15 00:00:46,040 --> 00:00:49,760 Speaker 2: chipping away at the equality and the rights that have 16 00:00:49,960 --> 00:00:53,840 Speaker 2: so recently been one in the LGBTQ plus community. 17 00:00:54,040 --> 00:00:56,800 Speaker 1: And there are fears the decision will not only chip 18 00:00:56,840 --> 00:01:00,400 Speaker 1: away at the rights of LGBTQ people, but will also 19 00:01:00,560 --> 00:01:06,080 Speaker 1: opened the door to discrimination on the basis of race, religion, sex, disability, age, 20 00:01:06,319 --> 00:01:10,160 Speaker 1: and other protected categories in a wide range of businesses, 21 00:01:10,680 --> 00:01:14,640 Speaker 1: something Justice Katanji Brown Jackson was concerned about during the 22 00:01:14,760 --> 00:01:15,520 Speaker 1: oral arguments. 23 00:01:16,319 --> 00:01:21,720 Speaker 3: Historically, opposition to interracial marriages and to integration in many 24 00:01:22,000 --> 00:01:26,120 Speaker 3: instances was on religious grounds. So I don't know that 25 00:01:26,200 --> 00:01:29,200 Speaker 3: we can say that just because we have a religious 26 00:01:29,240 --> 00:01:34,320 Speaker 3: objection to same sex marriage in this situation, that wouldn't 27 00:01:34,360 --> 00:01:39,560 Speaker 3: necessarily implicate religious objections to other kinds of situations. 28 00:01:39,760 --> 00:01:42,760 Speaker 1: My guest is Catherine Frankie, director of the Center for 29 00:01:42,920 --> 00:01:46,920 Speaker 1: Gender and Sexuality Law at Columbia Law School. How big 30 00:01:47,040 --> 00:01:50,960 Speaker 1: a blow is this to LGBTQ rights. 31 00:01:51,840 --> 00:01:53,919 Speaker 4: Well, the three or three creative case from the Supreme 32 00:01:53,960 --> 00:01:57,560 Speaker 4: Court is an enormous blow for LGBT rights, but not 33 00:01:57,640 --> 00:02:01,520 Speaker 4: only What's shocking about this decision is how broad it 34 00:02:01,760 --> 00:02:05,520 Speaker 4: was that the Court actually wrote a decision that gives 35 00:02:05,840 --> 00:02:08,840 Speaker 4: anybody who has an opinion in opposition to a law 36 00:02:09,400 --> 00:02:12,160 Speaker 4: a First Amendment right to not abide by that law, 37 00:02:12,560 --> 00:02:17,040 Speaker 4: whether it's LGBT equality rights or laws to prohibit race discrimination, 38 00:02:17,280 --> 00:02:21,200 Speaker 4: or you could refuse to serve Jewish people or interracial couples, 39 00:02:21,360 --> 00:02:24,240 Speaker 4: or for that matter, if you don't believe that climate 40 00:02:24,320 --> 00:02:27,920 Speaker 4: change is a real thing, you could not comply with 41 00:02:28,040 --> 00:02:30,960 Speaker 4: local regulations about the kind of air conditioning that you 42 00:02:31,000 --> 00:02:33,720 Speaker 4: have to have in your business, or really any law, 43 00:02:33,800 --> 00:02:36,000 Speaker 4: minimum wage laws, labor laws, etc. 44 00:02:36,840 --> 00:02:40,639 Speaker 1: Do you think the Court saw the implications of its decision, 45 00:02:40,680 --> 00:02:42,919 Speaker 1: how far ranging the implications are. 46 00:02:43,560 --> 00:02:46,799 Speaker 4: The Court had to understand that the ruling that they 47 00:02:46,800 --> 00:02:50,200 Speaker 4: were issuing was very broad. And part of why I 48 00:02:50,280 --> 00:02:53,280 Speaker 4: think that's the case is that the oral argument in 49 00:02:53,320 --> 00:02:56,959 Speaker 4: the case last fall, most of that argument was taken 50 00:02:57,040 --> 00:02:59,400 Speaker 4: up with a set of hypotheticals about how could you 51 00:02:59,480 --> 00:03:04,280 Speaker 4: put a limiting conditions on this very broad First Amendment speech? Right, 52 00:03:04,840 --> 00:03:07,560 Speaker 4: There were all sorts of questions that what turned out 53 00:03:07,560 --> 00:03:10,960 Speaker 4: to be the dissenting justices were asking of the lawyer 54 00:03:11,080 --> 00:03:14,239 Speaker 4: defending Laurie Smith, the owner of three ZHO three Creative, 55 00:03:14,639 --> 00:03:18,640 Speaker 4: about how we could possibly contain such a broad rule. 56 00:03:19,160 --> 00:03:22,200 Speaker 4: And the lawyer was unwilling to offer any kind of 57 00:03:22,240 --> 00:03:26,200 Speaker 4: limiting provisions or terms for this decision. And we see 58 00:03:26,200 --> 00:03:29,600 Speaker 4: that very very broad ruling in the Court's decisions from 59 00:03:29,680 --> 00:03:30,240 Speaker 4: last week. 60 00:03:30,840 --> 00:03:35,400 Speaker 1: And I remember Justice Kagan pointing out during oral arguments 61 00:03:35,480 --> 00:03:40,640 Speaker 1: that you designing a website is not necessarily expressive. You 62 00:03:40,640 --> 00:03:42,920 Speaker 1: could just be filling in the blanks with the couple's 63 00:03:43,000 --> 00:03:46,240 Speaker 1: name and things like that. So how does this tell 64 00:03:46,360 --> 00:03:50,000 Speaker 1: us what is expressive? What businesses are expressive? 65 00:03:50,840 --> 00:03:53,200 Speaker 4: Well, that's part of why this decision is so broad, 66 00:03:53,320 --> 00:03:55,400 Speaker 4: is that the court gives us very little about what 67 00:03:55,440 --> 00:03:58,800 Speaker 4: would count in future cases as a business that was 68 00:03:58,880 --> 00:04:02,520 Speaker 4: engaged in express of activity. So a few examples that 69 00:04:02,680 --> 00:04:06,080 Speaker 4: are very possible to be the next cases are things 70 00:04:06,200 --> 00:04:09,600 Speaker 4: like Applebee's a family restaurant. What does it mean for 71 00:04:09,640 --> 00:04:13,280 Speaker 4: a restaurant to be a family restaurant? Or a romantic 72 00:04:13,320 --> 00:04:16,480 Speaker 4: hotel in the Poconos, you know they're curating a kind 73 00:04:16,480 --> 00:04:20,160 Speaker 4: of experience for their customers. Or a theme park around 74 00:04:20,160 --> 00:04:23,960 Speaker 4: a plantation theme may not want to serve black customers 75 00:04:24,040 --> 00:04:27,800 Speaker 4: because black people were only enclaved on those plantations, not 76 00:04:27,960 --> 00:04:30,920 Speaker 4: people who were participating in the main life of the plantation. 77 00:04:31,480 --> 00:04:35,640 Speaker 4: So businesses create experiences for their customers all the time, 78 00:04:36,320 --> 00:04:40,120 Speaker 4: and that requires some kind of creative, expressive activity. Are 79 00:04:40,160 --> 00:04:43,000 Speaker 4: all of them also going to follow this rule that 80 00:04:43,080 --> 00:04:46,880 Speaker 4: they can refuse to serve customers that would violate the 81 00:04:46,920 --> 00:04:51,320 Speaker 4: sort of expressive core of their business purpose. As I 82 00:04:51,440 --> 00:04:54,560 Speaker 4: read the Supreme Court's three h three creative decision, it 83 00:04:54,680 --> 00:04:57,640 Speaker 4: opens the door for pretty much any business to be 84 00:04:57,680 --> 00:04:59,920 Speaker 4: able to say there's something creative about what we do, 85 00:05:00,520 --> 00:05:03,640 Speaker 4: and therefore complying with a human rights law or any 86 00:05:03,640 --> 00:05:07,479 Speaker 4: other law is forcing that we're expressing a viewpoint we 87 00:05:07,560 --> 00:05:10,440 Speaker 4: don't agree with. So one thing with a close reading 88 00:05:10,480 --> 00:05:13,039 Speaker 4: of the three h three Creative decision that I think 89 00:05:13,120 --> 00:05:16,880 Speaker 4: is worth noting is that the court decides that there's 90 00:05:16,920 --> 00:05:20,440 Speaker 4: a free speech right for Laurie Smith, the owner of 91 00:05:20,440 --> 00:05:24,000 Speaker 4: this business, and in doing so, normally, what happens is 92 00:05:24,040 --> 00:05:26,800 Speaker 4: it triggers a certain analysis from the court, which we 93 00:05:26,880 --> 00:05:30,560 Speaker 4: call strict scrutiny, like does the government have a compelling 94 00:05:30,640 --> 00:05:33,960 Speaker 4: interest to burden her free speech rights? And are they 95 00:05:34,000 --> 00:05:37,919 Speaker 4: furthering that interest in the most narrowly tailored fashion that 96 00:05:38,000 --> 00:05:41,920 Speaker 4: they could. What's remarkable is Justice Gorsuch doesn't engage in 97 00:05:41,960 --> 00:05:45,520 Speaker 4: any of that strict scrutiny reasoning. They just say that, yes, 98 00:05:45,720 --> 00:05:48,919 Speaker 4: she's engaged in speech protected by the First Amendment, and 99 00:05:48,960 --> 00:05:51,400 Speaker 4: that's the end of it. So what we're seeing is 100 00:05:51,440 --> 00:05:54,279 Speaker 4: not only a kind of creative and broad reading of 101 00:05:54,320 --> 00:05:57,920 Speaker 4: free speech rights, but then saying that these rights are absolute, 102 00:05:58,320 --> 00:06:01,720 Speaker 4: which we don't see in any other contexts where strict 103 00:06:01,760 --> 00:06:05,640 Speaker 4: scrutiny is triggered. So the standards for protecting the free 104 00:06:05,640 --> 00:06:09,840 Speaker 4: speech rights of evangelical Christians is elevated in three h 105 00:06:09,920 --> 00:06:13,240 Speaker 4: three creative in ways that I think should concern everyone. 106 00:06:13,400 --> 00:06:17,680 Speaker 1: I've always questioned why the court even took this case. 107 00:06:18,360 --> 00:06:22,520 Speaker 1: The website designer doesn't seem to have standing, she hasn't 108 00:06:22,520 --> 00:06:23,120 Speaker 1: been injured. 109 00:06:23,800 --> 00:06:26,000 Speaker 4: Well, that was a concern that many people had from 110 00:06:26,040 --> 00:06:28,880 Speaker 4: the very beginning, is that the lawsuit was filed before 111 00:06:28,920 --> 00:06:31,599 Speaker 4: she had even opened up her business. She was thinking 112 00:06:31,640 --> 00:06:35,160 Speaker 4: about starting a wedding website business, and she knew she 113 00:06:35,279 --> 00:06:38,840 Speaker 4: was in a state that prohibited sexual orientation and other 114 00:06:38,920 --> 00:06:42,479 Speaker 4: forms of discrimination by all businesses, and so she went 115 00:06:42,520 --> 00:06:44,640 Speaker 4: to court basically to get a get out of jail 116 00:06:44,720 --> 00:06:48,280 Speaker 4: free card before she'd even started her business. Now there's 117 00:06:48,279 --> 00:06:51,240 Speaker 4: been some to do in the media about there being 118 00:06:51,279 --> 00:06:54,240 Speaker 4: a couple who called a same sex couple who had 119 00:06:54,279 --> 00:06:56,679 Speaker 4: called her for a wedding site, and then it turned 120 00:06:56,680 --> 00:06:59,960 Speaker 4: out later that that was a fabricated couple. That actually 121 00:07:00,000 --> 00:07:03,000 Speaker 4: it doesn't matter because the lawsuit was filed before that 122 00:07:03,080 --> 00:07:06,200 Speaker 4: fake call came in, and the basis of the lawsuit 123 00:07:06,240 --> 00:07:10,240 Speaker 4: didn't turn on her actually even having opened her business yet, 124 00:07:10,320 --> 00:07:14,200 Speaker 4: let alone refuse service to any actual couple. She wanted 125 00:07:14,200 --> 00:07:16,240 Speaker 4: to know that the courts were going to insulate her 126 00:07:16,280 --> 00:07:20,120 Speaker 4: from any liability once she started serving customers, but only 127 00:07:20,200 --> 00:07:21,600 Speaker 4: had her sexual customers. 128 00:07:22,360 --> 00:07:24,960 Speaker 1: Does this tell us this case that even if a 129 00:07:25,040 --> 00:07:30,840 Speaker 1: state provides protections against bigotry as public accommodation's laws in 130 00:07:30,920 --> 00:07:37,080 Speaker 1: some twenty two states do that religious interests will trump that. 131 00:07:37,840 --> 00:07:40,640 Speaker 4: Well, what's surprising about this case is that it's actually 132 00:07:40,680 --> 00:07:44,120 Speaker 4: not a religious liberty case. It's a free speech case. 133 00:07:44,280 --> 00:07:46,720 Speaker 4: So if it had been a religious liberty case, she 134 00:07:46,720 --> 00:07:50,120 Speaker 4: would have to say, I have a sincerely held religious 135 00:07:50,160 --> 00:07:53,320 Speaker 4: belief that the institution of marriage is one man and 136 00:07:53,360 --> 00:07:55,720 Speaker 4: one woman, and I therefore don't want to serve or 137 00:07:55,800 --> 00:07:59,640 Speaker 4: endorse same sex marriages. That's a more narrow right than 138 00:07:59,680 --> 00:08:01,920 Speaker 4: what the court secured here, which is that I have 139 00:08:01,960 --> 00:08:06,160 Speaker 4: an opinion that opposes same sex marriage or prefers different 140 00:08:06,200 --> 00:08:09,239 Speaker 4: sex marriages. She doesn't have to show that that opinion 141 00:08:09,320 --> 00:08:12,560 Speaker 4: is religious at all. So it's a much broader right. 142 00:08:12,840 --> 00:08:15,400 Speaker 4: And what it says is that the Court is going 143 00:08:15,480 --> 00:08:19,200 Speaker 4: even further in a trend I've been watching with this court, 144 00:08:19,520 --> 00:08:22,800 Speaker 4: which is the creation of first class or top tier 145 00:08:22,920 --> 00:08:27,200 Speaker 4: constitutional rights and those are the rights of speech, religion, 146 00:08:27,600 --> 00:08:30,520 Speaker 4: gun right. And then below that, I would say, are 147 00:08:30,520 --> 00:08:33,920 Speaker 4: these second tier rights, rights to equality, whether it's race 148 00:08:33,960 --> 00:08:38,520 Speaker 4: based equality, sex based equality, reproductive rights, voting rights, or 149 00:08:38,640 --> 00:08:43,199 Speaker 4: LGBT equality. And when those second tier rights come into 150 00:08:43,200 --> 00:08:45,800 Speaker 4: some kind of tension with a first tier right, what 151 00:08:46,040 --> 00:08:49,040 Speaker 4: Justice Gorsuch said in three or three Creatives is that 152 00:08:49,080 --> 00:08:52,360 Speaker 4: the first tier right always wins. And this is a 153 00:08:52,480 --> 00:08:55,000 Speaker 4: totally different way to think about rights than we've ever 154 00:08:55,080 --> 00:08:55,840 Speaker 4: seen before. 155 00:08:56,760 --> 00:09:01,040 Speaker 1: There have been several decisions. There was the Colorado baker, 156 00:09:01,280 --> 00:09:06,560 Speaker 1: the Masterpiece cake Shop case, there was the Catholic Adoption Agency. 157 00:09:06,640 --> 00:09:11,040 Speaker 1: It seems to point to the court allowing religious groups 158 00:09:11,480 --> 00:09:12,440 Speaker 1: to discriminate. 159 00:09:13,280 --> 00:09:15,920 Speaker 4: It does whether it's discriminate or just not have the 160 00:09:16,000 --> 00:09:19,640 Speaker 4: law apply to them, because they quite frankly, feel that 161 00:09:19,720 --> 00:09:23,200 Speaker 4: they have to have fidelity to a higher law, you know, 162 00:09:23,320 --> 00:09:26,120 Speaker 4: God made law. And so it runs really contrary to 163 00:09:26,160 --> 00:09:29,520 Speaker 4: the idea of a secular society. And it's also, I 164 00:09:29,520 --> 00:09:34,280 Speaker 4: think a deeply anti democratic way to think about rights. Normally, 165 00:09:34,320 --> 00:09:36,960 Speaker 4: when the state passes the law that you don't agree with, 166 00:09:37,520 --> 00:09:39,880 Speaker 4: you go back to the legislature, you try to elect 167 00:09:39,880 --> 00:09:42,080 Speaker 4: different people, you try to get the law reversed, you 168 00:09:42,160 --> 00:09:45,360 Speaker 4: go back through the democratic process, and what we're seeing 169 00:09:45,360 --> 00:09:48,040 Speaker 4: now is that people are just raising their hand and saying, hey, 170 00:09:48,080 --> 00:09:50,960 Speaker 4: I don't agree with this law for religious reason or 171 00:09:51,120 --> 00:09:54,959 Speaker 4: any reason, and therefore I don't have to abide by it. 172 00:09:54,960 --> 00:09:58,400 Speaker 4: It's a real end run around the democratic process, where 173 00:09:58,480 --> 00:10:01,760 Speaker 4: often laws or passed you don't agree with. But part 174 00:10:01,760 --> 00:10:04,120 Speaker 4: of living in a democratic society is that you have 175 00:10:04,200 --> 00:10:07,959 Speaker 4: to abide by all the laws that are generally enacted 176 00:10:08,000 --> 00:10:11,320 Speaker 4: by the legislature. And that worries me as much as 177 00:10:11,400 --> 00:10:13,160 Speaker 4: the hit to LGBT rights here. 178 00:10:14,280 --> 00:10:18,839 Speaker 1: This decision doesn't really give guidelines to lower courts what's 179 00:10:19,000 --> 00:10:22,880 Speaker 1: an expressive business or not. Does that mean that it's 180 00:10:22,920 --> 00:10:24,680 Speaker 1: going to be sort of like the Second Amendment case 181 00:10:24,760 --> 00:10:28,160 Speaker 1: last term, which has led to all kinds of lower 182 00:10:28,200 --> 00:10:32,200 Speaker 1: court cases trying to figure out what that Second Amendment 183 00:10:32,280 --> 00:10:35,880 Speaker 1: right is that wasn't defined very well by the Court. 184 00:10:36,840 --> 00:10:39,080 Speaker 4: I think that's absolutely right, and the same was true 185 00:10:39,080 --> 00:10:42,120 Speaker 4: with Dobbs, that the Court is deciding these cases in 186 00:10:42,200 --> 00:10:45,680 Speaker 4: such broad terms, and particularly with Dobbs and saying, well, 187 00:10:45,720 --> 00:10:49,000 Speaker 4: the issue of abortion really doesn't belong in the Supreme Court. 188 00:10:49,280 --> 00:10:52,280 Speaker 4: It's something that should get dealt with in state legislatures. 189 00:10:52,480 --> 00:10:55,320 Speaker 4: But there were so many open questions left in that 190 00:10:55,440 --> 00:10:59,240 Speaker 4: decision and in bruin the gun control case, that there's 191 00:10:59,280 --> 00:11:02,479 Speaker 4: been a kind of of lawsuits filed in the aftermath 192 00:11:02,559 --> 00:11:04,920 Speaker 4: where trial courts are trying to figure out how to 193 00:11:04,960 --> 00:11:09,360 Speaker 4: apply these extremely broad rules. And also know that these 194 00:11:09,440 --> 00:11:14,360 Speaker 4: cases are brought by very well financed, very large evangelical 195 00:11:14,480 --> 00:11:18,400 Speaker 4: Christian advocacy groups that have been pushing and pushing and 196 00:11:18,400 --> 00:11:21,760 Speaker 4: pushing for these rules, and they have teed up already 197 00:11:21,880 --> 00:11:24,280 Speaker 4: after a case like three oh three Creative, what the 198 00:11:24,320 --> 00:11:27,200 Speaker 4: next cases will be and the cases after that. But 199 00:11:27,640 --> 00:11:29,560 Speaker 4: one thing I think is going to be interesting to 200 00:11:29,559 --> 00:11:31,959 Speaker 4: look for, and I call it a goose and gander problem, 201 00:11:32,600 --> 00:11:34,480 Speaker 4: is that what's good for the goose will be good 202 00:11:34,520 --> 00:11:37,440 Speaker 4: for the gander. And this First Amendment free speech right 203 00:11:37,559 --> 00:11:40,240 Speaker 4: that kind of insulated three h three Creative in its 204 00:11:40,240 --> 00:11:44,079 Speaker 4: owner Laurie Smith from complying with a human rights bar 205 00:11:44,160 --> 00:11:47,680 Speaker 4: or the equality laws in Colorado. That same ruling or 206 00:11:47,679 --> 00:11:52,000 Speaker 4: that same constitutional principle could be used by proponents of 207 00:11:52,040 --> 00:11:55,360 Speaker 4: abortion rights to extent that there are people who are 208 00:11:55,760 --> 00:11:58,920 Speaker 4: let's say, supporting people and getting access to abortion or 209 00:11:59,000 --> 00:12:01,920 Speaker 4: a medication of order in their states, they could say 210 00:12:01,920 --> 00:12:04,840 Speaker 4: that what they're doing is expressive or creative in nature, 211 00:12:05,320 --> 00:12:08,520 Speaker 4: and that for that reason, applying with the state's official 212 00:12:08,559 --> 00:12:12,319 Speaker 4: position on abortion violates their free speech right. So I 213 00:12:12,360 --> 00:12:14,800 Speaker 4: think it'll be interesting to see how this new rule 214 00:12:15,200 --> 00:12:18,480 Speaker 4: is deployed both by the right wing and the left wing, 215 00:12:18,880 --> 00:12:22,440 Speaker 4: both by those who oppose gay rights and reproductive rights, 216 00:12:22,600 --> 00:12:25,600 Speaker 4: but also those who support gay rights, racial justice, and 217 00:12:25,600 --> 00:12:28,160 Speaker 4: reproductive rights. So stay tuned. This is going to be 218 00:12:28,360 --> 00:12:30,840 Speaker 4: very interesting period over the next couple of years. 219 00:12:31,160 --> 00:12:36,440 Speaker 1: This conservative legal group, Alliance Defending Freedom, that brought this 220 00:12:36,559 --> 00:12:39,959 Speaker 1: case on behalf of the web designer, was the same 221 00:12:40,000 --> 00:12:44,360 Speaker 1: group that brought the Masterpiece cake Shop case on behalf 222 00:12:44,400 --> 00:12:48,080 Speaker 1: of the baker. So are they bringing more cases to 223 00:12:48,120 --> 00:12:48,839 Speaker 1: the forefront. 224 00:12:49,320 --> 00:12:52,040 Speaker 4: Oh, they absolutely are. One case to really keep an 225 00:12:52,040 --> 00:12:54,360 Speaker 4: eye on comes out of the fifth Circuit out of Texas, 226 00:12:54,360 --> 00:12:56,640 Speaker 4: and it was just decided two weeks ago, and it 227 00:12:56,679 --> 00:12:59,400 Speaker 4: was a case of a kind of mega doowner, conservative 228 00:12:59,480 --> 00:13:03,239 Speaker 4: Trump donor in Texas who owns a number of businesses, 229 00:13:03,320 --> 00:13:06,439 Speaker 4: employs a lot of people, and he's an evangelical Christian 230 00:13:06,880 --> 00:13:08,880 Speaker 4: and he says, I don't want to have to employ 231 00:13:09,400 --> 00:13:13,960 Speaker 4: anybody who isn't heterosexual or cisgendered. And so I want 232 00:13:14,000 --> 00:13:16,559 Speaker 4: to know in advance that I can be insulated from 233 00:13:16,720 --> 00:13:20,400 Speaker 4: discrimination charges against me and my business if I refuse 234 00:13:20,520 --> 00:13:23,559 Speaker 4: to hire gay people or trans people, or people who 235 00:13:23,559 --> 00:13:27,000 Speaker 4: are other than sisgendered. And I have a religious reason 236 00:13:27,080 --> 00:13:30,520 Speaker 4: for wanting an exemption basically from Title seven, a federal 237 00:13:30,760 --> 00:13:34,400 Speaker 4: anti discrimination and employment law. And the Fifth Circuit issued 238 00:13:34,440 --> 00:13:39,080 Speaker 4: a very very broad decision upholding his religious exemption claim, 239 00:13:39,400 --> 00:13:42,480 Speaker 4: carving a huge hole in the middle of Title seven. 240 00:13:42,960 --> 00:13:45,520 Speaker 4: That case will surely go to the Supreme Court in 241 00:13:45,559 --> 00:13:48,000 Speaker 4: the next month or so to see if they'll take it, 242 00:13:48,040 --> 00:13:50,360 Speaker 4: and that could easily be on the docket next year. 243 00:13:50,600 --> 00:13:52,560 Speaker 4: And that's one to watch out for. And it's the 244 00:13:52,679 --> 00:13:57,120 Speaker 4: same evangelical Christian law firm behind that case as all 245 00:13:57,160 --> 00:13:59,439 Speaker 4: these others. You know, as much as I think their 246 00:13:59,480 --> 00:14:02,720 Speaker 4: strategy is a complicated one and a wrong headed under 247 00:14:02,720 --> 00:14:06,000 Speaker 4: the Constitution, they are smart lawyers and they are really 248 00:14:06,240 --> 00:14:08,920 Speaker 4: gaining the favor of the Supreme Court in these kinds 249 00:14:08,960 --> 00:14:09,720 Speaker 4: of arguments. 250 00:14:10,120 --> 00:14:14,280 Speaker 1: Was it surprising or perhaps a disappointment that it was 251 00:14:14,480 --> 00:14:18,760 Speaker 1: Justice Neil Gorsich who wrote the majority opinion here when 252 00:14:18,800 --> 00:14:21,760 Speaker 1: he was the one who wrote the majority opinion in 253 00:14:21,920 --> 00:14:26,960 Speaker 1: boss Stock in twenty twenty that said Title seven protected 254 00:14:27,040 --> 00:14:28,680 Speaker 1: gay and transgender workers. 255 00:14:29,280 --> 00:14:31,760 Speaker 4: It wasn't shocking to me because what the Court is 256 00:14:31,800 --> 00:14:34,560 Speaker 4: actually telling us through the pen if you will, of 257 00:14:34,720 --> 00:14:38,200 Speaker 4: Justice Gorsich, is that they're prepared to recognize the rights 258 00:14:38,280 --> 00:14:42,080 Speaker 4: of the LGBT community so long as those rights don't 259 00:14:42,080 --> 00:14:44,880 Speaker 4: come into conflicts with a more important right like free 260 00:14:44,920 --> 00:14:48,200 Speaker 4: speech or religious liberty. And that's exactly what happened in 261 00:14:48,240 --> 00:14:51,240 Speaker 4: this three h three creative case. I'd also say that 262 00:14:51,320 --> 00:14:54,960 Speaker 4: the decision in Bostock, while the end result was a 263 00:14:55,000 --> 00:14:58,320 Speaker 4: good one, the reasoning was horrible and it didn't give 264 00:14:58,400 --> 00:15:01,080 Speaker 4: us anything to work with in this future to expand 265 00:15:01,200 --> 00:15:03,960 Speaker 4: or build on the equality rights the Court gave us 266 00:15:04,000 --> 00:15:08,040 Speaker 4: in that case. It's very mechanistic kind of technical reasoning 267 00:15:08,360 --> 00:15:12,680 Speaker 4: that says nothing about the values that underlie equality statutes 268 00:15:12,720 --> 00:15:15,640 Speaker 4: and why we care about as an important American value 269 00:15:15,680 --> 00:15:19,160 Speaker 4: treating everybody fairly in the workplace or elsewhere. But when 270 00:15:19,160 --> 00:15:21,800 Speaker 4: you get Gorstch or Alito or Thomas or the more 271 00:15:21,840 --> 00:15:25,360 Speaker 4: conservative members of the Court writing about religious liberty, they 272 00:15:25,400 --> 00:15:29,880 Speaker 4: go on and on about how important respecting religion is 273 00:15:29,960 --> 00:15:33,160 Speaker 4: as a fundamental American value. They just don't do the 274 00:15:33,200 --> 00:15:37,040 Speaker 4: same with respect to racial equality, sex based equality, or 275 00:15:37,160 --> 00:15:40,880 Speaker 4: LGBT equality. So it's a mechanistic decision, that Boss Stok 276 00:15:40,960 --> 00:15:43,760 Speaker 4: decision that actually doesn't really have legs. 277 00:15:43,840 --> 00:15:49,080 Speaker 1: Unfortunately, many people are asking the question whether same sex 278 00:15:49,240 --> 00:15:50,680 Speaker 1: marriage could be next. 279 00:15:51,200 --> 00:15:55,000 Speaker 4: Well, if we read Justice Thomas and his writings, his sense, 280 00:15:55,120 --> 00:15:59,120 Speaker 4: and his concurrences in the Supreme Court's Jurisprudens recently, he's 281 00:15:59,160 --> 00:16:03,080 Speaker 4: given us a pretty thorough to do list beyond overturning 282 00:16:03,160 --> 00:16:07,480 Speaker 4: Rovers's Wade and same sex marriage, even Lawrence versus Texas, 283 00:16:07,560 --> 00:16:10,520 Speaker 4: the case it said it was unconstitutional to criminalize sex 284 00:16:10,600 --> 00:16:13,240 Speaker 4: between two people of the same sex, but that is 285 00:16:13,320 --> 00:16:17,200 Speaker 4: also on the chopping block, along with rights to contraception. 286 00:16:17,480 --> 00:16:21,480 Speaker 4: All of those sexuality decisions that most people regarded as 287 00:16:21,520 --> 00:16:26,280 Speaker 4: settled law and really untouchable. In Justice Thomas's view, those 288 00:16:26,280 --> 00:16:29,080 Speaker 4: are next. So I think we have to wait and see. 289 00:16:29,200 --> 00:16:33,040 Speaker 4: Hopefully the Court won't move so quickly and so radically. 290 00:16:33,240 --> 00:16:36,000 Speaker 4: But what we saw on the Supreme Court this term 291 00:16:36,600 --> 00:16:38,960 Speaker 4: shows that they don't seem to be holding back in 292 00:16:39,000 --> 00:16:42,240 Speaker 4: a pretty radical right wing turn in their decisions. 293 00:16:42,880 --> 00:16:45,680 Speaker 1: Also, i'd just like you to talk a little bit 294 00:16:45,840 --> 00:16:51,320 Speaker 1: about this spike in legislation in state houses this year, 295 00:16:52,000 --> 00:16:56,440 Speaker 1: with more than five hundred and twenty five anti LGBTQ 296 00:16:56,680 --> 00:17:01,360 Speaker 1: bills introduced more than seventy signs so far, that's more 297 00:17:01,400 --> 00:17:03,360 Speaker 1: than double last year's number. 298 00:17:04,160 --> 00:17:04,960 Speaker 5: Well, one would. 299 00:17:04,800 --> 00:17:08,359 Speaker 4: Think that there was actually a crisis of trans kids 300 00:17:08,520 --> 00:17:11,439 Speaker 4: or gender nonconforming kids across the country. You know, I 301 00:17:11,440 --> 00:17:14,280 Speaker 4: think of a state like Idaho or Montana, and really 302 00:17:14,359 --> 00:17:17,679 Speaker 4: how many trans children are there in those states. But 303 00:17:18,160 --> 00:17:20,399 Speaker 4: from the amount of energy that's been brought to passing 304 00:17:20,480 --> 00:17:23,400 Speaker 4: these statutes, one would think that there's a real emergency 305 00:17:23,440 --> 00:17:25,679 Speaker 4: going on in those states, which of course is not 306 00:17:25,800 --> 00:17:28,600 Speaker 4: the case at all. But what we're seeing is groups 307 00:17:28,600 --> 00:17:32,560 Speaker 4: like Alliance Defending Freedom and others Family Research Council, these 308 00:17:32,600 --> 00:17:37,800 Speaker 4: conservative evangelical groups are cranking out model bills, providing them 309 00:17:37,840 --> 00:17:42,280 Speaker 4: to like minded state legislators who are using this just 310 00:17:42,480 --> 00:17:46,840 Speaker 4: seem spirited, hateful appeal to the sort of evil or 311 00:17:46,880 --> 00:17:50,440 Speaker 4: problem of trans kids as a way to mobilize their base. 312 00:17:51,080 --> 00:17:54,920 Speaker 4: A few years ago, they really realized that opposing same 313 00:17:54,960 --> 00:17:58,680 Speaker 4: sex marriage and regular gay people wasn't getting the bang 314 00:17:58,720 --> 00:18:01,560 Speaker 4: for the buck that they had hoped, and mobilizing the base. 315 00:18:01,600 --> 00:18:04,720 Speaker 4: So they shifted to the transgender and gender identity issue, 316 00:18:04,800 --> 00:18:07,280 Speaker 4: and it has been quite effective. They have really moved 317 00:18:07,280 --> 00:18:10,639 Speaker 4: the needle, I think, in public opinion about whether gender 318 00:18:10,680 --> 00:18:14,880 Speaker 4: affirming care is appropriate for young people, and really maintaining 319 00:18:14,920 --> 00:18:18,800 Speaker 4: the idea that trans people are monsters, they're somehow subhumans, 320 00:18:18,960 --> 00:18:21,399 Speaker 4: and it's a frightening time to be in this country, 321 00:18:21,440 --> 00:18:23,720 Speaker 4: and particularly to be a person who doesn't conform to 322 00:18:23,840 --> 00:18:27,359 Speaker 4: traditional gender norms. What I will say though, about these 323 00:18:27,400 --> 00:18:29,919 Speaker 4: new laws is that almost all of them have been 324 00:18:30,000 --> 00:18:32,879 Speaker 4: challenged in the court, and we're really kind of on 325 00:18:32,920 --> 00:18:35,879 Speaker 4: a winning streak, at least in the lower district courts, 326 00:18:36,240 --> 00:18:40,639 Speaker 4: where even conservative Trump appointed judges have found those laws 327 00:18:40,680 --> 00:18:44,439 Speaker 4: to be unconstitutional, and they've done so in ways that 328 00:18:44,600 --> 00:18:48,879 Speaker 4: clarify and strengthen parental rights to decide about the health 329 00:18:48,920 --> 00:18:51,600 Speaker 4: and well being of their children, but also about the 330 00:18:51,640 --> 00:18:56,120 Speaker 4: constitutional status of trans people in ways that I think 331 00:18:56,240 --> 00:18:59,919 Speaker 4: is kind of backfiring for those who oppose trans right. 332 00:19:00,840 --> 00:19:03,640 Speaker 4: So we'll see what happens to these cases those opinions 333 00:19:03,640 --> 00:19:06,359 Speaker 4: when they get appealed to the intermediate appellate courts and 334 00:19:06,359 --> 00:19:09,280 Speaker 4: then hopefully don't go to the Supreme court, although they could, 335 00:19:09,720 --> 00:19:12,040 Speaker 4: but for now I think the strategy, at least in 336 00:19:12,040 --> 00:19:15,280 Speaker 4: A and the federal courts, has backfired for those who 337 00:19:15,280 --> 00:19:19,480 Speaker 4: are targeting transsensitive care and gender nonconforming kids. 338 00:19:20,359 --> 00:19:23,920 Speaker 1: Thanks so much for your insights, Catherine. That's Professor Catherine Frankee, 339 00:19:23,920 --> 00:19:27,040 Speaker 1: director of the Center for Gender and Sexuality Law at 340 00:19:27,040 --> 00:19:31,159 Speaker 1: Columbia Law School. New York City is on the cutting 341 00:19:31,240 --> 00:19:34,520 Speaker 1: edge of setting rules for how companies can use artificial 342 00:19:34,560 --> 00:19:39,160 Speaker 1: intelligence in hiring and promotion decisions. New York City's Automated 343 00:19:39,200 --> 00:19:43,480 Speaker 1: Employment Decision Tool law requires employers that use AI and 344 00:19:43,520 --> 00:19:47,480 Speaker 1: other machine learning technology as part of their hiring process 345 00:19:47,640 --> 00:19:51,240 Speaker 1: to perform an annual audit of their technology. Failure to 346 00:19:51,280 --> 00:19:53,760 Speaker 1: comply with the new law, which is mandatory for any 347 00:19:53,800 --> 00:19:57,439 Speaker 1: company operating and hiring in New York City, could result 348 00:19:57,480 --> 00:20:01,280 Speaker 1: in fine starting at five hundred dollars the maximum penalty 349 00:20:01,359 --> 00:20:05,280 Speaker 1: of fifteen hundred dollars per instance. Joining me is labor 350 00:20:05,280 --> 00:20:09,480 Speaker 1: and employment attorney Nicholas Pappez, a partner at Dorsey and Whitney. 351 00:20:10,320 --> 00:20:14,320 Speaker 1: How has AI impacted hiring and promotion decisions? 352 00:20:14,920 --> 00:20:19,160 Speaker 5: A number of articles and studies out there indicating that 353 00:20:19,359 --> 00:20:23,560 Speaker 5: it's widely used by employers and has been for a 354 00:20:23,600 --> 00:20:27,680 Speaker 5: long time. There's one study that says as many as 355 00:20:27,720 --> 00:20:31,159 Speaker 5: eighty three percent of employers to ninety nine percent of 356 00:20:31,200 --> 00:20:36,840 Speaker 5: Fortune five hundred companies use AI to screen or rank 357 00:20:36,960 --> 00:20:41,239 Speaker 5: candidates for hire. So that suggests it's out there. Is 358 00:20:41,280 --> 00:20:44,480 Speaker 5: not only affected workers, but it's sort of part of 359 00:20:44,520 --> 00:20:49,680 Speaker 5: the fabric of the workplace. Now in the United States, how. 360 00:20:49,560 --> 00:20:54,600 Speaker 1: Are organizations allowed to use AI? How are they not 361 00:20:54,720 --> 00:21:00,240 Speaker 1: allowed to use AI? Let's say they want to enhance diversity. 362 00:21:00,359 --> 00:21:02,199 Speaker 1: Can they use AI to do that? 363 00:21:03,400 --> 00:21:07,359 Speaker 5: Well, that's a tricky question. The easier approach is what 364 00:21:08,240 --> 00:21:11,800 Speaker 5: are you not allowed to do with AI? You're certainly 365 00:21:11,840 --> 00:21:15,280 Speaker 5: not allowed to use AI in a way that has 366 00:21:15,320 --> 00:21:21,080 Speaker 5: a disparate what's called a disparate impact on workers with 367 00:21:21,240 --> 00:21:28,960 Speaker 5: protected characteristics, so for example, race, religion, sex, national origin, etc. 368 00:21:29,560 --> 00:21:33,359 Speaker 5: When I say disparate impact, that's a technical term that 369 00:21:33,400 --> 00:21:38,360 Speaker 5: employment lawyers and the law use to say that if 370 00:21:38,400 --> 00:21:43,440 Speaker 5: something has a disproportionate effect on those types of persons 371 00:21:43,440 --> 00:21:50,159 Speaker 5: in those classifications, that rule or law or practice will 372 00:21:50,359 --> 00:21:53,240 Speaker 5: be prohibited. In Title seven of the Civil Rights Act 373 00:21:53,280 --> 00:21:55,920 Speaker 5: of nineteen sixty four is the law that says that 374 00:21:56,040 --> 00:22:01,760 Speaker 5: the practice is prohibited unless the practice or rule is 375 00:22:01,840 --> 00:22:05,840 Speaker 5: what's described as job related for the position in question 376 00:22:06,440 --> 00:22:10,080 Speaker 5: and consistent with business necessity. Right. So there's a way 377 00:22:10,160 --> 00:22:15,000 Speaker 5: to justify rules or practices that have a disparate impact, 378 00:22:15,000 --> 00:22:19,920 Speaker 5: but the burden falls on the employer to justify those 379 00:22:19,960 --> 00:22:21,000 Speaker 5: types of practices. 380 00:22:21,880 --> 00:22:24,360 Speaker 1: So tell us about this New York City law. 381 00:22:24,760 --> 00:22:27,560 Speaker 5: So the New York City law, it's known as Local 382 00:22:27,640 --> 00:22:32,960 Speaker 5: Law one forty four, and that law affects what the 383 00:22:33,080 --> 00:22:37,760 Speaker 5: law describes as automated employment decision tools, which that's a 384 00:22:37,760 --> 00:22:42,240 Speaker 5: long way of saying AI artificial intelligence, right, And the 385 00:22:42,320 --> 00:22:48,359 Speaker 5: law defines automated employment decision tools as any computational process 386 00:22:48,400 --> 00:22:54,240 Speaker 5: derived from machine learning, statistical modeling, data analytics, or artificial 387 00:22:54,320 --> 00:23:01,440 Speaker 5: intelligence that issues simplified output, including a score, classification, or recommendation, 388 00:23:02,119 --> 00:23:06,000 Speaker 5: that is used to substantially assist or replace discretionary decision 389 00:23:06,040 --> 00:23:10,679 Speaker 5: making for making employment decisions that impact natural persons. So 390 00:23:11,040 --> 00:23:14,600 Speaker 5: that's a long description of AI. But if it's something 391 00:23:14,640 --> 00:23:19,520 Speaker 5: that is substantially used to assist or replace discretionary decision making, 392 00:23:19,920 --> 00:23:25,439 Speaker 5: you cannot use AI for hiring or promotions unless you 393 00:23:25,560 --> 00:23:29,480 Speaker 5: go through under this law what is called a bias 394 00:23:29,680 --> 00:23:33,480 Speaker 5: audit so the law requires that employers, before using AI 395 00:23:33,720 --> 00:23:38,240 Speaker 5: do an audit of the tool, also to disclose on 396 00:23:38,440 --> 00:23:42,720 Speaker 5: their websites a summary of the audit. And third that 397 00:23:42,840 --> 00:23:48,920 Speaker 5: the employer using AI give individual notice to candidates residing 398 00:23:48,920 --> 00:23:52,000 Speaker 5: in New York City that there'll be subject to the 399 00:23:52,080 --> 00:23:56,320 Speaker 5: use of this AI tool. And in that same notice, 400 00:23:56,400 --> 00:24:00,560 Speaker 5: the employer has to allow the candidate to quest some 401 00:24:00,760 --> 00:24:05,639 Speaker 5: alternative process or an accommodation. The notice also has to 402 00:24:05,920 --> 00:24:11,200 Speaker 5: describe the job qualifications and characteristics that the AI tool 403 00:24:11,920 --> 00:24:16,040 Speaker 5: will use in the assessment of the candidate. So that's 404 00:24:16,080 --> 00:24:21,320 Speaker 5: a lot of very technical compliance requirements. So starting today, 405 00:24:21,520 --> 00:24:26,240 Speaker 5: the Department of Consumer and Worker Protection will be enforcing 406 00:24:26,280 --> 00:24:30,800 Speaker 5: this law. And in effect, if the Department of Consumer 407 00:24:30,880 --> 00:24:35,560 Speaker 5: Worker Protection learns that AI is being used without compliance, 408 00:24:35,800 --> 00:24:39,480 Speaker 5: employers will be subject to a host of penalties. 409 00:24:39,840 --> 00:24:43,760 Speaker 1: How do you see the department enforcing. 410 00:24:43,440 --> 00:24:48,200 Speaker 5: This, Well, the department can receive complaints, the department can 411 00:24:48,280 --> 00:24:52,200 Speaker 5: do investigations. So are there any number of ways any 412 00:24:52,320 --> 00:24:55,879 Speaker 5: an enforcement agency can learn about the use of AI. 413 00:24:56,400 --> 00:24:59,800 Speaker 5: And so the law really is built upon requiring employers 414 00:24:59,840 --> 00:25:03,399 Speaker 5: to you self police and you know, in effect, if 415 00:25:03,440 --> 00:25:06,960 Speaker 5: you are using AI as an employer, you know it 416 00:25:07,040 --> 00:25:10,120 Speaker 5: and so you should be doing these disclosures and doing 417 00:25:10,160 --> 00:25:10,840 Speaker 5: the compliance. 418 00:25:11,359 --> 00:25:14,040 Speaker 1: So do you think that employers will have to start 419 00:25:14,160 --> 00:25:20,160 Speaker 1: hiring outside experts to make sure that you know they're incompliance. 420 00:25:20,920 --> 00:25:24,359 Speaker 5: Absolutely, In fact, that's required by the law. They mentioned 421 00:25:24,359 --> 00:25:28,600 Speaker 5: that the law requires a bias audit. The bias audit 422 00:25:28,760 --> 00:25:34,040 Speaker 5: has to be done as an impartial evaluation by an 423 00:25:34,040 --> 00:25:38,000 Speaker 5: independent auditor. So, in other words, a bias audit cannot 424 00:25:38,040 --> 00:25:42,280 Speaker 5: be done by the employer acting alone. The employer needs 425 00:25:42,320 --> 00:25:47,320 Speaker 5: to hire an independent auditor. That technology expert then has 426 00:25:47,400 --> 00:25:50,960 Speaker 5: to do a number of assessments. You have to look 427 00:25:50,960 --> 00:25:55,920 Speaker 5: at the algorithm, the technology that's being used, and then 428 00:25:56,240 --> 00:26:00,600 Speaker 5: calculate something called a selection rate, a score boring rate, 429 00:26:01,240 --> 00:26:07,399 Speaker 5: and determine an impact ratio for sex, race, ethnicity, and 430 00:26:07,600 --> 00:26:12,560 Speaker 5: also what's called intersectional categories of race, sex, and ethnicity. 431 00:26:12,680 --> 00:26:15,879 Speaker 5: So it's quite a complicated task and one of the 432 00:26:15,880 --> 00:26:20,280 Speaker 5: things employers may wish to do before publishing its bias 433 00:26:20,440 --> 00:26:24,680 Speaker 5: audit to do some testing. You know, before you go live. 434 00:26:25,200 --> 00:26:28,040 Speaker 5: You may want to have an expert look at these 435 00:26:28,080 --> 00:26:32,639 Speaker 5: things to assess whether it's permissible. I mean, one of 436 00:26:32,680 --> 00:26:36,200 Speaker 5: the things this bias audit would reveal is if there 437 00:26:36,320 --> 00:26:40,280 Speaker 5: is a disparate impact, which is prohibited by federal, state, 438 00:26:40,320 --> 00:26:41,200 Speaker 5: and local law. 439 00:26:41,600 --> 00:26:44,800 Speaker 1: Can you give us some examples of the kind of 440 00:26:44,920 --> 00:26:48,719 Speaker 1: tools that employers are using to screen out applicants. 441 00:26:49,240 --> 00:26:51,919 Speaker 5: The one that's most common and probably has been used 442 00:26:52,160 --> 00:26:55,080 Speaker 5: for a long time is what I would call a 443 00:26:55,119 --> 00:26:59,879 Speaker 5: resume screening tool. So a resume screening tool in effect 444 00:27:00,200 --> 00:27:03,840 Speaker 5: uses keyword searching, which if you've done a Google search, 445 00:27:03,880 --> 00:27:05,119 Speaker 5: you know what a keyword search is. 446 00:27:05,160 --> 00:27:05,240 Speaker 3: You. 447 00:27:05,560 --> 00:27:09,080 Speaker 5: So, if an employer is advertising for a job, an 448 00:27:09,080 --> 00:27:13,040 Speaker 5: employer may get a thousand resumes, but you don't want 449 00:27:13,080 --> 00:27:16,280 Speaker 5: to have to interview a thousand people necessarily. So in 450 00:27:16,400 --> 00:27:20,640 Speaker 5: order to efficiently go through the thousand resumes, maybe I'm 451 00:27:20,680 --> 00:27:25,199 Speaker 5: going to use a keyword search term that limits the 452 00:27:25,400 --> 00:27:27,200 Speaker 5: number of resumes I'm going to look at. So let's 453 00:27:27,200 --> 00:27:31,240 Speaker 5: say my job, in my fictitious job advertisement requires a 454 00:27:31,320 --> 00:27:34,080 Speaker 5: master's degree. If you don't have a master's degree, I 455 00:27:34,119 --> 00:27:37,679 Speaker 5: don't need to spend my time to interview you. So 456 00:27:37,920 --> 00:27:40,679 Speaker 5: I can, you know, perhaps do a search for the 457 00:27:40,760 --> 00:27:44,720 Speaker 5: different ways one might identify a master's degree, and so 458 00:27:44,880 --> 00:27:49,040 Speaker 5: call down my thousand resumes down to you know, fifty 459 00:27:49,119 --> 00:27:51,960 Speaker 5: or one hundred resumes. That will be a classic or 460 00:27:52,000 --> 00:27:54,800 Speaker 5: a simple way of using AI, just the simple use 461 00:27:54,800 --> 00:27:58,119 Speaker 5: of a search term. Another one that is very common 462 00:27:58,400 --> 00:28:01,200 Speaker 5: and one that where AI apparently is becoming used more 463 00:28:01,240 --> 00:28:06,480 Speaker 5: and more is video interview analysis. So video interview analysis 464 00:28:06,640 --> 00:28:12,040 Speaker 5: is basically recording candidates, which has probably become more used 465 00:28:12,160 --> 00:28:15,840 Speaker 5: during the pandemic when we're social distancing, right, you know, 466 00:28:15,920 --> 00:28:21,359 Speaker 5: for some employers they would require candidates to record themselves. 467 00:28:21,520 --> 00:28:24,680 Speaker 5: So let's say I'm searching and I want to use 468 00:28:24,680 --> 00:28:29,240 Speaker 5: this video interview analysis. I may have a set of 469 00:28:29,320 --> 00:28:33,240 Speaker 5: questions that I will have my candidates answer and record 470 00:28:33,280 --> 00:28:37,359 Speaker 5: themselves answering this series of questions. As the employer, I 471 00:28:37,359 --> 00:28:41,040 Speaker 5: get back a series of recordings of candidates answering these questions. 472 00:28:41,040 --> 00:28:43,200 Speaker 5: Well what do I do with that? Right, And this 473 00:28:43,240 --> 00:28:48,520 Speaker 5: is where AI comes in. The AI tool might analyze 474 00:28:48,680 --> 00:28:56,640 Speaker 5: facial expressions, tone of voice, body language, nonverbal cues, speech patterns, gestures, 475 00:28:57,000 --> 00:29:01,400 Speaker 5: you know, language, things like that, and based on that analysis, 476 00:29:01,480 --> 00:29:05,600 Speaker 5: the tool allows the employer to reach conclusions about the 477 00:29:05,640 --> 00:29:13,560 Speaker 5: employee based on their personalities, communication skills, problem solving skills, aptitudes, motivation, 478 00:29:13,760 --> 00:29:18,800 Speaker 5: and cognitive skills, and from those conclusions forecast how the 479 00:29:18,840 --> 00:29:21,320 Speaker 5: candidate might behave in the workplace. 480 00:29:21,480 --> 00:29:24,680 Speaker 1: Thanks for being on the show. That's Nicholas Poppis of 481 00:29:24,840 --> 00:29:27,200 Speaker 1: Dorsey and Whitney and that's it for this edition of 482 00:29:27,200 --> 00:29:29,880 Speaker 1: The Bloomberg Law Show. Remember you can always get the 483 00:29:29,920 --> 00:29:33,160 Speaker 1: latest legal news on our Bloomberg Law Podcast. You can 484 00:29:33,200 --> 00:29:37,400 Speaker 1: find them on Apple Podcasts, Spotify, and at www dot 485 00:29:37,440 --> 00:29:41,640 Speaker 1: bloomberg dot com, slash podcast Slash Law, and remember to 486 00:29:41,640 --> 00:29:44,720 Speaker 1: tune into The Bloomberg Law Show every weeknight at ten 487 00:29:44,760 --> 00:29:48,560 Speaker 1: pm Wall Street Time. I'm June Grosso and you're listening 488 00:29:48,640 --> 00:29:49,320 Speaker 1: to Bloomberg