บทถอดความฉบับเต็มของ Three Generations, Same Fight: AI Bias, Women's Confidence, and a Seat at the Table

00:03:35.840 --> 00:03:38.000 that we've imposed on women. But I don't think it 75 00:03:38.060 --> 00:03:40.729 comes down to individual confidence. I think that's just the 76 00:03:40.770 --> 00:03:45.719 way women communicate is that we tend to hedge our statements. 77 00:03:46.219 --> 00:03:48.439 We tend to put like a qualifier in the beginning 78 00:03:48.539 --> 00:03:51.539 just in case we're wrong versus men. I don't think 79 00:03:51.560 --> 00:03:52.750 men do that. Yeah. 80 00:03:52.759 --> 00:03:56.009 I mean, we've learned to do that, right? Right. You know, 81 00:03:56.310 --> 00:04:01.169 that whole, excuse me, right? The whole, I don't know 82 00:04:01.189 --> 00:04:03.270 if this is the right thing to say, but, or 83 00:04:03.289 --> 00:04:05.900 I need a little help on this. Do you think 84 00:04:05.909 --> 00:04:09.080 you could help me? You know, I mean, yeah, for sure. 85 00:04:09.919 --> 00:04:13.960 But it's interesting that the training for AI would come 86 00:04:14.000 --> 00:04:15.400 back to that. Yeah. 87 00:04:15.439 --> 00:04:19.000 I think that's very fascinating that a machine that shouldn't, 88 00:04:19.660 --> 00:04:23.050 isn't born or isn't created with bias can then become 89 00:04:23.110 --> 00:04:25.910 biased based off the information we're feeding them. One of 90 00:04:25.930 --> 00:04:28.050 the things that I'm reading here is about like the 91 00:04:28.089 --> 00:04:33.699 collaborative language that women use. So a man may say how, 92 00:04:34.279 --> 00:04:36.819 like draft this message versus a woman will say, how 93 00:04:36.879 --> 00:04:40.889 can we draft this message together? And I mean, I 94 00:04:40.949 --> 00:04:43.689 do think that once again speaks to like how society 95 00:04:43.730 --> 00:04:47.810 has shaped a woman's role to be more collaborative and communicative. 96 00:04:47.829 --> 00:04:50.759 That is interesting. I think I have said that in 97 00:04:51.740 --> 00:04:56.819 quad or chat. Right. Me too. Let's work on like, 98 00:04:57.399 --> 00:04:58.199 who am I working with? 99 00:04:58.759 --> 00:04:59.420 Right. Exactly. 100 00:04:59.439 --> 00:05:01.579 Like. That's not another person. 101 00:05:01.620 --> 00:05:04.209 And I mean, part of me, and I don't know, 102 00:05:04.310 --> 00:05:06.750 part of this is like, what if, I'm being paranoid 103 00:05:06.769 --> 00:05:07.870 in the back of my head, like what if the 104 00:05:07.910 --> 00:05:09.509 robots take over and I need to be nice to them? 105 00:05:09.529 --> 00:05:11.730 But I always use like, will you please do this? 106 00:05:12.449 --> 00:05:14.139 I do that. And I say thank you. 107 00:05:14.209 --> 00:05:17.490 And it's just like inherent in me to not say 108 00:05:17.529 --> 00:05:20.629 thank you or please. Like I can't not do it. 109 00:05:21.490 --> 00:05:23.230 Well, it's funny. I had a friend say to me, 110 00:05:23.850 --> 00:05:27.410 when the robots come for you, then it's good to 111 00:05:27.629 --> 00:05:29.209 have said please and thank you. Right. 112 00:05:29.889 --> 00:05:32.009 But, like, that's, I feel, kind of a rationale of 113 00:05:32.069 --> 00:05:34.670 why are we thinking robots, because it's innate in us. 114 00:05:34.930 --> 00:05:35.209 Right. 115 00:05:35.709 --> 00:05:37.410 As women, to say please and thank you. 116 00:05:39.170 --> 00:05:39.970 Yeah. 117 00:05:39.990 --> 00:05:41.589 Not that I think you should go around being rude 118 00:05:41.629 --> 00:05:44.350 to AI, but, like, AI doesn't have feelings. Like, why 119 00:05:44.370 --> 00:05:48.120 are we treating... inanimate is not the right word, but, like, 120 00:05:48.129 --> 00:05:49.860 it's not. 121 00:05:49.879 --> 00:05:52.360 Well, I think we're expecting it to actually have feelings. 122 00:05:52.800 --> 00:05:54.100 But I... Yes. 123 00:05:54.399 --> 00:05:54.800 Okay. Yes. 124 00:05:55.220 --> 00:05:58.839 Yes. But is that like part of just being a 125 00:05:58.860 --> 00:06:01.319 woman is that we just, we treat everything as though 126 00:06:01.339 --> 00:06:03.620 it has feelings and its own distinct emotions. 127 00:06:04.540 --> 00:06:10.439 That's a really great question. Probably. I mean, you know, 128 00:06:10.699 --> 00:06:15.500 I watched the remarkably bright creatures movie and I can't eat, 129 00:06:15.680 --> 00:06:20.040 eat octopus anymore. So, yeah, I mean, you know, uh, 130 00:06:20.899 --> 00:06:24.019 I know plenty of people who are plenty of men 131 00:06:24.060 --> 00:06:27.209 who have seen it and they're like, who cares? where 132 00:06:27.629 --> 00:06:31.769 I have a different level of emotional stuff. I don't know. 133 00:06:31.889 --> 00:06:34.300 Why do I say that when I talk to my AI? 134 00:06:34.300 --> 00:06:37.500 Well, is it we just teach compassion differently to girls 135 00:06:37.540 --> 00:06:41.319 versus boys? I've never raised kids, so I don't know. 136 00:06:41.399 --> 00:06:45.689 I think we teach everything differently to girls versus boys. 100%. 137 00:06:45.689 --> 00:06:47.250 I hate to say that, but you do. 138 00:06:47.250 --> 00:06:48.949 I can't believe it's gotten to the point that it's 139 00:06:49.029 --> 00:06:53.829 reflected in AI models. Importantly, the researcher in charge of 140 00:06:53.870 --> 00:06:56.569 this is a woman, which I think is fabulous. And 141 00:06:56.889 --> 00:06:58.990 her main point here is that women do not need 142 00:06:59.009 --> 00:07:01.529 to change what they're saying to AI. AI needs to 143 00:07:01.569 --> 00:07:04.350 improve their models. So it's not bias. And I think 144 00:07:04.389 --> 00:07:07.009 that's the important thing. Because every article that I've seen 145 00:07:07.110 --> 00:07:09.050 taken out of this study that's like, oh, this is 146 00:07:09.069 --> 00:07:11.310 what the study said. It's like, how can women improve 147 00:07:11.410 --> 00:07:14.540 while using AI? Not like, how can AI models stop 148 00:07:14.569 --> 00:07:18.800 discriminating

against women? And it's interesting. I mean, it's a 149 00:07:18.839 --> 00:07:21.759 slight use of language, right? but it's such a big 150 00:07:21.839 --> 00:07:24.839 deal how we word things. Like it's not a woman's 151 00:07:24.899 --> 00:07:28.399 choice or it shouldn't be our responsibility to fix how 152 00:07:28.439 --> 00:07:30.910 I talk to AI. AI should just respond to me 153 00:07:30.949 --> 00:07:33.069 the same way it responds to men. Yeah. 154 00:07:33.089 --> 00:07:36.370 It is pretty fascinating. I mean, there's certain settings you 155 00:07:36.389 --> 00:07:39.420 can change. So it doesn't like give you all the like, Oh, 156 00:07:39.430 --> 00:07:41.410 you're doing such a great job. No, just tell me 157 00:07:41.449 --> 00:07:43.990 how it is. Like, I don't need you to agree 158 00:07:44.050 --> 00:07:46.370 with me. Yeah. There are things you can do in 159 00:07:46.389 --> 00:07:49.529 the settings, but the bias thing is very interesting. And 160 00:07:49.550 --> 00:07:53.970 I'm curious how, if there's also like a different bias, 161 00:07:54.110 --> 00:07:56.829 like racial bias, is there? 162 00:07:56.949 --> 00:07:58.050 Oh, a hundred percent. 163 00:07:58.129 --> 00:07:58.370 Yeah. 164 00:07:58.790 --> 00:08:01.410 Um, I don't know about like in that, like the 165 00:08:01.449 --> 00:08:05.110 workforce context, but when I studied AI, um, for a 166 00:08:05.110 --> 00:08:07.250 while I worked at the job at the hospital, a 167 00:08:07.290 --> 00:08:10.259 lot of my issues with obviously besides, you know, you 168 00:08:10.279 --> 00:08:13.839 have your privacy issues, but if you get into inserting 169 00:08:13.860 --> 00:08:17.639 patient data in there, you do end up forming biases against, 170 00:08:17.699 --> 00:08:20.800 you know, a black versus a white patient. Um, and 171 00:08:20.839 --> 00:08:24.100 like what the treatment course would be, because I don't know, 172 00:08:24.259 --> 00:08:26.810 AI and bias is just such a fascinating field. 173 00:08:28.089 --> 00:08:29.180 So what are they going to do about it? 174 00:08:31.449 --> 00:08:34.129 That's the hard part. I don't know, because I'm like, 175 00:08:34.169 --> 00:08:37.309 there is this cycle. Women learn to communicate in certain 176 00:08:37.350 --> 00:08:41.320 cultural ways. AI then recognizes those patterns. And it's not 177 00:08:41.360 --> 00:08:46.039 like they're hallucinating these patterns. These patterns do exist. Then 178 00:08:46.139 --> 00:08:49.250 AI in turn, because of these patterns, produces a different 179 00:08:49.309 --> 00:08:53.029 style of communication other people then read that communication and 180 00:08:53.049 --> 00:08:55.350 then it starts all over again women are continuing to 181 00:08:55.389 --> 00:08:58.029 be taught to learn it to speak in this specific 182 00:08:58.070 --> 00:09:02.049 way and then it's like okay whose responsibility it is 183 00:09:02.110 --> 00:09:05.080 to break the bias do women really need one

more 184 00:09:05.120 --> 00:09:07.480 thing on their plates is I guess my entire message 185 00:09:07.529 --> 00:09:10.720 here like why is it it shouldn't be on me um. 186 00:09:11.620 --> 00:09:15.179 Yeah I mean it is it's just a really interesting 187 00:09:15.299 --> 00:09:23.080 time right that you have all these systems that can 188 00:09:24.240 --> 00:09:26.059 tell you how you should be doing things and do 189 00:09:26.100 --> 00:09:28.879 things differently because you're a woman versus a man. Right. 190 00:09:29.620 --> 00:09:35.610 And it, it's really leaning into the confidence aspect of 191 00:09:35.669 --> 00:09:39.570 things because the way you communicate, yes, in part, it 192 00:09:39.629 --> 00:09:42.399 does dictate your confidence, but I don't think it entirely 193 00:09:42.440 --> 00:09:45.820 dictates your confidence because, I mean, I do find myself 194 00:09:45.860 --> 00:09:49.179 speaking in a more reserved tone, less of an authoritative 195 00:09:49.259 --> 00:09:52.950 tone when I'm in the workplace. But that doesn't reflect 196 00:09:53.019 --> 00:09:56.509 my confidence. I'm still confident in my abilities in my work. 197 00:09:56.549 --> 00:09:58.610 I just don't feel the need to, you know, be 198 00:09:58.649 --> 00:10:01.600 all up in everyone's else's business about it and be 199 00:10:01.679 --> 00:10:04.120 rude about it and you know maybe that's the thing 200 00:10:04.139 --> 00:10:06.000 in itself like why do I think speaking that way 201 00:10:06.019 --> 00:10:08.350 in like a harsh tone not a harsh tone but 202 00:10:08.370 --> 00:10:10.009 like it just in a you know I'm the boss 203 00:10:10.049 --> 00:10:12.350 tone is rude men don't think that way. 204 00:10:12.509 --> 00:10:14.990 Because we've been taught that when you speak up as 205 00:10:15.029 --> 00:10:16.429 a woman you're considered a bitch. 206 00:10:16.889 --> 00:10:20.820 Yeah And it's like, it seems like this never ending cycle. 207 00:10:21.759 --> 00:10:21.980 Right. 208 00:10:22.419 --> 00:10:24.679 And we'll see, like, will men take this seriously now 209 00:10:24.720 --> 00:10:26.559 that an AI model is doing it versus, you know, 210 00:10:26.580 --> 00:10:29.120 women have been telling this for decades, which I think 211 00:10:29.159 --> 00:10:33.289 would be another fascinating conversation, like believing a machine over 212 00:10:33.309 --> 00:10:39.250 a woman. But I don't know, like what I've been 213 00:10:39.289 --> 00:10:42.190 seeing online, the regurgitations of this is women need to 214 00:10:42.210 --> 00:10:45.220 change themselves. They need to be more confident in the workplace, blah, blah, blah, blah, blah. 215 00:10:45.519 --> 00:10:48.080 That's not what this is about. Like, and, That's just 216 00:10:48.139 --> 00:10:52.480 a poor, a misrepresentation of what this study was trying 217 00:10:52.519 --> 00:10:54.980 to show. It wasn't trying to show that women need 218 00:10:55.000 --> 00:10:57.220 to change. And I think that that's the horrible takeaway 219 00:10:57.259 --> 00:10:57.679 from this. 220 00:10:58.600 --> 00:11:01.870 Well, what it's showing is that there's bias even in 221 00:11:02.000 --> 00:11:05.690 an AI model that doesn't take women as seriously as 222 00:11:05.730 --> 00:11:06.210 it does men. 223 00:11:07.210 --> 00:11:11.610 Right. And, you know, AI is so normalized now. It is, 224 00:11:11.769 --> 00:11:14.149 I think, everywhere. The only person I actually know that 225 00:11:14.190 --> 00:11:15.370 doesn't use it is my sister. 226 00:11:15.840 --> 00:11:17.730 Yeah, for sure. It's funny. Yeah. 227 00:11:18.450 --> 00:11:21.029 And, like, I mean, I'm not saying everyone uses it for, like, 228 00:11:21.070 --> 00:11:23.029 literally everything. Like, my bosses at work will be like, 229 00:11:23.090 --> 00:11:26.129 AI is great for coming up with word choices and 230 00:11:27.429 --> 00:11:30.529 planning vacations. But we don't use it for anything besides that. 231 00:11:30.570 --> 00:11:33.840 And I think, like, that's great. But then that's exactly 232 00:11:33.860 --> 00:11:36.179 the problem. You're using it for your word choices. Your 233 00:11:36.200 --> 00:11:40.440 word choices are coming off less, quote, unquote, professional because 234 00:11:40.460 --> 00:11:43.269 of this bias. Yeah. And what do you do? I mean, 235 00:11:43.289 --> 00:11:45.610 like as a young woman, you're entering the workforce for 236 00:11:45.629 --> 00:11:48.320 this for the first time. You want to use this 237 00:11:48.549 --> 00:11:51.120 technology that gives you a leg up. And honestly, it 238 00:11:51.159 --> 00:11:52.820 doesn't even give you a leg up at this point. 239 00:11:52.980 --> 00:11:54.700 Not using it puts you a step down. 240 00:11:55.759 --> 00:11:57.860 Yeah, that's the thing. I mean, you have to embrace 241 00:11:58.059 --> 00:12:01.690 the stuff that's happening right now. You can't just say, oh, yeah, well, no, 242 00:12:02.350 --> 00:12:04.730 you do have to embrace it. So that is a 243 00:12:04.769 --> 00:12:09.710 big piece of it. But, you know, I think that. 244 00:12:10.149 --> 00:12:14.000 I mean, even the warning label it gives you that, hey, 245 00:12:14.409 --> 00:12:17.659 we can be wrong, right? Or I can be wrong. 246 00:12:18.639 --> 00:12:20.679 It's not a person. But the way it says it 247 00:12:20.740 --> 00:12:23.460 is that, yeah, you got to check everything. So, I mean, 248 00:12:23.519 --> 00:12:25.720 maybe it isn't the right thing for word choices. Maybe 249 00:12:25.740 --> 00:12:27.799 it has to be your own word choice. Like we 250 00:12:27.840 --> 00:12:31.240 can't become so reliant on AI that we can't do stuff, 251 00:12:31.360 --> 00:12:31.700 you know? 252 00:12:31.960 --> 00:12:34.000 And maybe this is a step in the right direction 253 00:12:34.059 --> 00:12:36.820 of saying, hey, we can't be doing everything like this because, 254 00:12:37.480 --> 00:12:39.519 I mean, I saw another statistic today

that was like, 255 00:12:40.169 --> 00:12:44.909 the workforce is now 19 or like out of CEOs worldwide, 256 00:12:44.909 --> 00:12:47.259 19% of them are women, which is like the highest 257 00:12:47.279 --> 00:12:49.820 this has ever been, right? This percentage, but that is 258 00:12:50.019 --> 00:12:53.139 still not okay. I mean, if you look at my 259 00:12:53.179 --> 00:12:56.730 law school class, 70% of us are women, but only 260 00:12:56.730 --> 00:12:59.509 19% of CEOs worldwide are women. 261 00:13:00.629 --> 00:13:03.450 Yeah. If you look at medical school too, I think 262 00:13:03.470 --> 00:13:06.309 there's a greater number. I don't know that you can 263 00:13:06.330 --> 00:13:07.879 look it up real quick as we talk, But I 264 00:13:07.919 --> 00:13:10.879 think there's a greater number of a percentage of women 265 00:13:11.539 --> 00:13:18.620 in medical school classes now versus men. But does that 266 00:13:18.700 --> 00:13:19.820 come out in the marketplace? 267 00:13:20.120 --> 00:13:23.759 According to the Association of American Medical Colleges, women make 268 00:13:23.860 --> 00:13:28.700 up roughly 57 percent of applicants and 55 percent of 269 00:13:28.779 --> 00:13:31.840 matriculants in the recent academic cycles. And this is. 270 00:13:32.210 --> 00:13:37.009 Yeah. So when you look at who are running the programs. 271 00:13:37.840 --> 00:13:38.039 Men. 272 00:13:39.000 --> 00:13:41.759 Very few women. I mean, we have the surgery in 273 00:13:41.799 --> 00:13:42.860 Gainesville has a woman. 274 00:13:43.200 --> 00:13:46.840 That's amazing. And she's probably like out of all neurosurgeons worldwide. 275 00:13:46.860 --> 00:13:51.179 There's probably like maybe 150 of them. I don't know. 276 00:13:51.200 --> 00:13:53.340 Search that too. Cause that's an interesting statistic. 277 00:13:53.840 --> 00:13:56.500 I mean, we have our first like female Dean and 278 00:13:56.519 --> 00:13:59.570 we are relatively new law school. I'm not going to 279 00:13:59.610 --> 00:14:01.529 harp on like, that's a bad thing, but this is, 280 00:14:02.509 --> 00:14:04.330 and part of me is like, I'm so excited that 281 00:14:04.470 --> 00:14:06.230 we have a female Dean and, But a lot of 282 00:14:06.250 --> 00:14:08.870 her appointment has been around, wow, Belmont's first female Dean. 283 00:14:08.909 --> 00:14:12.240 What about like, you know, Belmont's Dean is amazing in 284 00:14:12.320 --> 00:14:14.519 all of the capacities, regardless of her being a woman. 285 00:14:14.620 --> 00:14:15.299 Cause she is. 286 00:14:15.639 --> 00:14:16.700 Drives me. 287 00:14:16.720 --> 00:14:21.419 And it's, it's great. But like we, it's not a 288 00:14:21.460 --> 00:14:23.940 celebration anymore to be the first women to do this. 289 00:14:25.470 --> 00:14:27.259 Not like, I don't want to be like rude about it, 290 00:14:27.309 --> 00:14:29.289 but we should be striving for more than that. Like 291 00:14:29.370 --> 00:14:31.730 our description should be more than the first female to 292 00:14:31.750 --> 00:14:32.070 do this. 293 00:14:32.710 --> 00:14:37.049 Right. It should be like, she's an amazing Dean. Not that, 294 00:14:37.570 --> 00:14:41.990 you know, she's the first woman. Okay, great. Yes. And yes. 295 00:14:42.129 --> 00:14:44.399 And that's, that's the important way to say that. Yes. 296 00:14:44.480 --> 00:14:47.700 But what else has she done? Yeah. She's done amazing things. 297 00:14:47.740 --> 00:14:51.419 She's a woman. So that there, therefore you're actually taking 298 00:14:51.460 --> 00:14:54.250 her down a level for any kind of like, okay, 299 00:14:54.450 --> 00:14:56.429 other Deans in the past. Well, they're all men. We 300 00:14:56.450 --> 00:14:58.750 can't look at that. You know, it's ridiculous. 301 00:14:59.149 --> 00:15:03.809 Right. And it's, I mean, it is purely insulting. And 302 00:15:03.830 --> 00:15:05.850 I think like a lot of listeners would relate to 303 00:15:05.889 --> 00:15:08.809 this as, you know, whether you describe yourself as just 304 00:15:08.870 --> 00:15:10.809 a mother or other people in your life describe you 305 00:15:10.870 --> 00:15:13.120 as just a mother. You're so much more than that. 306 00:15:13.340 --> 00:15:16.419 And your role is still important. Yes. And. Yeah. 307 00:15:16.620 --> 00:15:20.779 So, I mean, just because you are the first female something, 308 00:15:20.799 --> 00:15:24.659 you know, you're still doing an amazing job compared to 309 00:15:24.740 --> 00:15:27.460 everybody else out there. Like, it's so ridiculous how. 310 00:15:28.259 --> 00:15:29.799 Like you're the dean of a law school. 311 00:15:29.820 --> 00:15:30.679 The first female. 312 00:15:31.159 --> 00:15:33.059 Regardless if you're the first female or not. That's a 313 00:15:33.139 --> 00:15:36.470 huge accomplishment. Yeah. Anyways, I've been on a high horse 314 00:15:36.519 --> 00:15:39.029 about women's rights the last couple of weeks. And it's 315 00:15:39.070 --> 00:15:40.850 a high horse that I deserve to sit on because 316 00:15:42.549 --> 00:15:46.470 it's insane to me that my grandma was fighting the 317 00:15:46.509 --> 00:15:48.730 same fight that you were fighting. And it's the same 318 00:15:48.789 --> 00:15:54.809 fight that I'm still fighting for a seat at the table. Yeah. 319 00:15:54.850 --> 00:15:55.710 Is that going to get better? 320 00:15:55.730 --> 00:15:56.370 Right. I don't know. 321 00:15:56.669 --> 00:15:57.230 I don't know. 322 00:15:57.990 --> 00:16:01.000 But we just got to keep doing it. Right. We do. 323 00:16:01.029 --> 00:16:03.500 And it's obviously like, I'm not going to not fight 324 00:16:03.720 --> 00:16:05.600 for it. It's something that I will have to do 325 00:16:05.720 --> 00:16:08.940 for the rest of my life. And I'm happy that 326 00:16:09.059 --> 00:16:11.740 I have the means and the opportunities to do so, 327 00:16:11.820 --> 00:16:13.059 but it does get exhausting. 328 00:16:13.440 --> 00:16:16.120 Yeah. It's

such an interesting thing to think about that. 329 00:16:17.090 --> 00:16:21.610 You're right. That we, yes, certain things have changed, but 330 00:16:21.750 --> 00:16:25.830 so many things have not. Right. In a good way. 331 00:16:26.309 --> 00:16:28.889 You know, it has changed since grandma's time. There's more 332 00:16:28.929 --> 00:16:31.269 women in the classroom. There's more than 50% of women 333 00:16:31.309 --> 00:16:33.529 in med school, right? In her time, it was like 334 00:16:33.649 --> 00:16:35.379 maybe one, maybe. 335 00:16:36.460 --> 00:16:39.940 But the big accomplishment is the first female, right? 336 00:16:39.960 --> 00:16:40.100 Yeah. 337 00:16:40.840 --> 00:16:43.399 Where it should be normalized that it doesn't matter if 338 00:16:43.419 --> 00:16:44.820 you're a man or a woman that you're doing an 339 00:16:44.840 --> 00:16:45.399 amazing job. 340 00:16:46.000 --> 00:16:46.899 Yeah, I don't. 341 00:16:47.700 --> 00:16:50.759 That's my two cents. Okay, tell me what your calendar 342 00:16:50.799 --> 00:16:51.259 says today. 343 00:16:52.820 --> 00:16:56.070 No one can seriously fuck up your life quite as magnificently. 344 00:16:56.629 --> 00:17:00.350 As you can. Yeah. You have the power there. 345 00:17:00.789 --> 00:17:03.470 You have the power. With everything you do, you have 346 00:17:03.509 --> 00:17:03.889 the power. 347 00:17:05.410 --> 00:17:08.009 And so if that means you think that your tone 348 00:17:08.049 --> 00:17:12.950 in AI is decreasing your confidence or other people's perception 349 00:17:12.970 --> 00:17:14.960 of your confidence in the workplace, stop using it. 350 00:17:16.789 --> 00:17:20.269 Yeah. I mean, again, we shouldn't use it to run 351 00:17:20.390 --> 00:17:22.450 all of the things in our lives. Yes, we need 352 00:17:22.470 --> 00:17:24.549 to know how to do these things, right? Yeah. 353 00:17:24.589 --> 00:17:25.150 It's like, you know. 354 00:17:25.750 --> 00:17:27.990 If you're not jumping on, you're behind. Right. 355 00:17:28.470 --> 00:17:28.950 Exactly. 356 00:17:29.289 --> 00:17:33.059 But you still need to think like a human, right? 357 00:17:33.079 --> 00:17:34.680 I mean, it's crucial. 358 00:17:34.940 --> 00:17:37.059 So there we go. 359 00:17:37.880 --> 00:17:40.339 Well, thank you for listening to this. And thank you 360 00:17:40.359 --> 00:17:41.579 for being engaged with me, Mom. 361 00:17:42.140 --> 00:17:42.640 Yeah. 362 00:17:42.759 --> 00:17:44.769 I'm probably going to go talk to my friends about 363 00:17:44.789 --> 00:17:48.650 this for hours afterwards because I think it's so inherently fascinating. 364 00:17:50.109 --> 00:17:52.509 And thank you for joining us on this week's episode 365 00:17:52.589 --> 00:17:56.980 of Her Unshakable Confidence. Always remember you are unshakable. 366 00:17:57.799 --> 00:17:58.400 Bye guys. 367 00:18:00.619 --> 00:18:03.180 Thank you for listening to Her Unshakable Confidence. 368 00:18:04.009 --> 00:18:07.690 If this conversation resonated with you, be sure to subscribe 369 00:18:07.769 --> 00:18:10.049 and leave a review so more women can find the show. 370 00:18:10.450 --> 00:18:11.569 Keep trusting yourself. 371 00:18:12.230 --> 00:18:13.630 You are stronger than you think. 372 00:18:14.049 --> 00:18:15.670 You are unshakable. 373 00:18:16.630 --> 00:18:17.339 See you next week.