WEBVTT 00:01.607 --> 00:03.065 [SPEAKER_00]: Ladies and gentlemen, we wanna hear about something. 00:04.188 --> 00:13.513 [SPEAKER_00]: Very, very important today on making playing chat, GPT is taking over a lot of the conversation and all that we do. 00:13.633 --> 00:22.297 [SPEAKER_00]: But what about chat, GPT, that speaks directly to us, that answers our questions as Black people. 00:22.938 --> 00:31.542 [SPEAKER_00]: So to join us now and to tell us all about it, from Onix Impact is our nearest sister, Sosa. 00:32.162 --> 00:33.043 [SPEAKER_00]: Sosa, how are you? 00:34.247 --> 00:37.009 [SPEAKER_02]: I am wonderful and so so happy to be here today. 00:37.449 --> 00:37.770 [SPEAKER_00]: Thank you. 00:38.170 --> 00:40.551 [SPEAKER_00]: Thank you for joining us and happy to have you. 00:41.432 --> 00:45.555 [SPEAKER_00]: First of all, for those who don't know, tell our audience to be about Onix Impact. 00:46.075 --> 00:46.715 [SPEAKER_02]: Yeah, absolutely. 00:46.835 --> 00:49.837 [SPEAKER_02]: Onix Impact is, we're a nonprofit organization. 00:49.918 --> 01:02.566 [SPEAKER_02]: We are dedicated to studying black online spaces and fighting disinformation, harmful information narratives that are targeting, you know, our community in particular. 01:03.833 --> 01:09.515 [SPEAKER_00]: And so you have something called, first of all, the digital green book. 01:09.635 --> 01:19.318 [SPEAKER_00]: And for those of you who know about the green book, and if you didn't know, I'm sure you saw the movie, you now have digitized it and put this type of resource online. 01:20.545 --> 01:21.005 [SPEAKER_02]: That's right. 01:21.185 --> 01:32.954 [SPEAKER_02]: The digital green book you can find at digitalgreenbook.org, just like the original green book by Victor Green was created to help black folks navigate to safe spaces. 01:33.554 --> 01:40.999 [SPEAKER_02]: We created the digital green book to help black communities navigate online spaces to navigate online harms. 01:41.059 --> 01:44.222 [SPEAKER_02]: And so as a part of that, 01:44.962 --> 01:48.404 [SPEAKER_02]: We, you know, have sections, how do we protect our truth? 01:48.544 --> 01:49.604 [SPEAKER_02]: How do we protect our kids? 01:49.624 --> 01:52.585 [SPEAKER_02]: And how do we protect our culture in this moment? 01:54.166 --> 02:02.410 [SPEAKER_02]: In this information more, if you will, that's attacking Black history, attacking Black news, attacking, you know, our culture, our identity. 02:03.570 --> 02:07.992 [SPEAKER_00]: And a part of that now, and folks, she, she mentioned this to me offline. 02:08.012 --> 02:09.453 [SPEAKER_00]: That's what we've got to talk about this. 02:12.534 --> 02:16.760 [SPEAKER_00]: We have Black Chat, GPT, right? 02:16.941 --> 02:18.323 [SPEAKER_00]: That's what we're calling it. 02:20.085 --> 02:21.487 [SPEAKER_00]: And she has a name. 02:22.128 --> 02:23.830 [SPEAKER_00]: Are you sure, correct? 02:23.910 --> 02:25.052 [SPEAKER_00]: That's right. 02:25.092 --> 02:26.794 [SPEAKER_00]: Tell us all about this, please. 02:27.435 --> 02:31.238 [SPEAKER_02]: So if you go to the digital green book, again, it's digital green book. 02:31.398 --> 02:43.568 [SPEAKER_02]: Or one of the tools you'll find on there is a AI tool named Iesha that our team created to uplift to inform and connect Black communities to 02:44.048 --> 02:45.289 [SPEAKER_02]: good and trusted information. 02:46.490 --> 02:52.234 [SPEAKER_02]: It's not only, what makes it different, what makes a different than chatGPT, Ayisha is wrong. 02:52.274 --> 02:59.620 [SPEAKER_02]: She's trained on black news on local black news, national black news, black history. 03:00.080 --> 03:07.723 [SPEAKER_02]: We spent weeks developing her system prompt explaining what different aspects of black history, black trauma. 03:07.763 --> 03:18.908 [SPEAKER_02]: We spent a ton of time on what black joy meant and was reflective of because as you know, you don't want to tell an AI to go figure out what it means to be black from the internet. 03:19.480 --> 03:22.762 [SPEAKER_02]: Right, that would be horrible and dangerous. 03:22.823 --> 03:38.995 [SPEAKER_02]: So we took a ton of time to develop this tool and put her on the this website that we have to, and she will prioritize black led sources, historically accurate information. 03:40.055 --> 03:46.741 [SPEAKER_02]: tried to prevent distortions and digital manipulations of black identity, black history. 03:47.381 --> 03:57.009 [SPEAKER_02]: And our team is really on hand with this tool to try to make sure that it's accurate and culturally relevant. 03:57.830 --> 04:02.054 [SPEAKER_02]: The possibilities for Aisha are endless. 04:02.094 --> 04:04.115 [SPEAKER_02]: We started this as a way to make folks 04:06.337 --> 04:14.343 [SPEAKER_02]: give folks a way to answer questions, you know, instead of going to ten fact checking websites, you can just, you know, ask Ayesha. 04:15.304 --> 04:21.829 [SPEAKER_02]: And, you know, within a month, we've got folks, you know, using Ayesha to find and make and recipes. 04:21.869 --> 04:29.034 [SPEAKER_02]: We've got people using Ayesha to write all types of scripts to help with their black small businesses. 04:30.475 --> 04:38.966 [SPEAKER_02]: We're really, really excited about what Aisha can grow into and what her capabilities can be helping black community specifically moving forward. 04:39.645 --> 04:41.006 [SPEAKER_00]: I don't mean if you can't wait to see this. 04:41.026 --> 04:42.166 [SPEAKER_00]: So I'm not going to delay. 04:42.326 --> 04:44.227 [SPEAKER_00]: I'm going to share. 04:44.747 --> 04:48.289 [SPEAKER_00]: We're going to see if we can bring ice up on the screen. 04:49.390 --> 04:52.651 [SPEAKER_00]: And let's see what we have here. 04:53.672 --> 04:55.653 [SPEAKER_00]: There is the screen right there. 04:55.733 --> 04:56.293 [SPEAKER_00]: You see right? 04:56.313 --> 04:59.955 [SPEAKER_00]: So that this is actually the digital green book itself. 05:00.635 --> 05:03.156 [SPEAKER_00]: So first of all, let's do this if you don't mind a little bit. 05:03.436 --> 05:03.937 [SPEAKER_00]: What is it? 05:04.737 --> 05:13.122 [SPEAKER_00]: What is it that people are seeing now and just all the ways, first of all, the digital green book itself can be useful and helpful? 05:13.702 --> 05:13.962 [SPEAKER_02]: Sure. 05:14.022 --> 05:24.549 [SPEAKER_02]: So if you scroll down a little bit, you'll see where the IESHA chat wants and tool is. 05:25.169 --> 05:29.471 [SPEAKER_02]: But really quickly to go to the other things that the green book offers, click right there. 05:31.398 --> 05:39.005 [SPEAKER_02]: And so you'll see tips to protect our truth in this in this time. 05:39.085 --> 05:40.726 [SPEAKER_02]: So again, how do we protect? 05:42.067 --> 05:44.029 [SPEAKER_02]: How do we stop digital manipulation? 05:44.069 --> 05:52.256 [SPEAKER_02]: If you scroll down, you'll see ways to spot digital and an emotional manipulation online. 05:52.356 --> 05:54.518 [SPEAKER_02]: A lot of folks don't know that, forty-two percent of 05:55.890 --> 05:59.174 [SPEAKER_02]: social online traffic is bad bucks, right? 05:59.234 --> 06:04.900 [SPEAKER_02]: That's fundamentally shaping how we see our reality, right? 06:05.080 --> 06:07.963 [SPEAKER_02]: And how we will be viewed to be authentic conversations. 06:08.043 --> 06:09.124 [SPEAKER_02]: So you get 06:11.588 --> 06:15.690 [SPEAKER_02]: We have a ton of what are called, if you scroll down a bit, just these cards, right? 06:16.090 --> 06:19.751 [SPEAKER_02]: That very, just a little bit more. 06:19.811 --> 06:24.632 [SPEAKER_02]: Just that very easily, how do you spot social media manipulation, right? 06:24.652 --> 06:26.093 [SPEAKER_02]: We'll give you five quick tips. 06:26.173 --> 06:30.154 [SPEAKER_02]: How do you take that control of your data online, right? 06:30.754 --> 06:32.975 [SPEAKER_02]: We'll give you really quick tips on how to do that. 06:33.015 --> 06:35.316 [SPEAKER_02]: You can click any of these to find more details. 06:35.776 --> 06:38.877 [SPEAKER_02]: How do you, what are the types of tricks that they're using? 06:40.059 --> 06:40.482 [SPEAKER_02]: See you. 06:42.951 --> 06:47.634 [SPEAKER_02]: to manipulate black history to manipulate our society. 06:49.055 --> 06:53.117 [SPEAKER_02]: Again, and then the protect our kids section, one of the most important sections that we have. 06:53.718 --> 07:00.682 [SPEAKER_02]: This is when people say that social media companies are rolling back content moderation policies. 07:01.482 --> 07:02.202 [SPEAKER_02]: What does that mean? 07:02.903 --> 07:09.767 [SPEAKER_02]: That means that they're allowing more racism, more anti-blackness, more harmful content into 07:10.927 --> 07:16.549 [SPEAKER_02]: are our digital realities and into the feeds of our kids, right? 07:16.609 --> 07:25.791 [SPEAKER_02]: Our black kids that are experiencing this racism and anti-blackness, well before we even have a chance to talk to them about what race is. 07:26.171 --> 07:31.452 [SPEAKER_02]: And it's causing disproportionate mental health struggle. 07:31.512 --> 07:38.374 [SPEAKER_02]: So we talk about how to use parental control, we talk about how to 07:41.335 --> 07:43.817 [SPEAKER_02]: teachers, kids, digital knowledge, digital political thinking. 07:43.837 --> 07:47.159 [SPEAKER_02]: And then we have, you know, the third part, how do we protect our culture? 07:47.179 --> 07:50.342 [SPEAKER_02]: What does it mean to follow black news? 07:50.382 --> 07:56.647 [SPEAKER_02]: What does it mean to use black social media sites to 07:57.187 --> 07:57.967 [SPEAKER_02]: buy black. 07:58.007 --> 07:59.487 [SPEAKER_02]: How do you buy black? 07:59.507 --> 08:02.928 [SPEAKER_02]: What are some places you can go to make sure that you're doing that? 08:03.008 --> 08:26.033 [SPEAKER_02]: And so this is just a start for what we want to build, but we hope that this is a way for folks to get to get started to build a really resilient digital black digital ecosystem, black digital culture and push back against a lot of the harms that we're seeing happen to our society in particular. 08:26.723 --> 08:28.884 [SPEAKER_00]: You know, that's very, very important. 08:29.644 --> 08:35.426 [SPEAKER_00]: And you mentioned how we're targeted and targeted negatively so much. 08:37.407 --> 08:40.388 [SPEAKER_00]: Just in my own work, and in organizing, I do. 08:41.988 --> 08:44.209 [SPEAKER_00]: We're coming up on the third of the end of version May, May and March. 08:44.469 --> 08:54.033 [SPEAKER_00]: We see now more conversation, pitting black men against black women that protestesize in the election. 08:56.237 --> 08:57.878 [SPEAKER_00]: And I'm going to especially when Clubhouse was out. 08:57.918 --> 09:00.099 [SPEAKER_00]: Clubhouse is probably there's used to be every night. 09:00.699 --> 09:01.479 [SPEAKER_00]: It was some room. 09:01.759 --> 09:03.520 [SPEAKER_00]: First of all, it was a room black members black women. 09:03.540 --> 09:05.921 [SPEAKER_00]: Then it was another room with several rooms. 09:06.441 --> 09:10.263 [SPEAKER_00]: Pitting Africans and African Americans against each other. 09:11.903 --> 09:14.364 [SPEAKER_00]: Though those things are happening by design or anything. 09:16.587 --> 09:39.485 [SPEAKER_02]: Yes, we're seeing, you know, those types of narrative divisive narratives are going to be uplifted and authentically by social media platforms because when a platform and an algorithm realizes a narrative is divisive to that algorithm, that's synonymous with engagement, right? 09:39.565 --> 09:42.107 [SPEAKER_02]: If something is more divisive, it will likely be more engaging. 09:42.147 --> 09:44.890 [SPEAKER_02]: So how do I make sure to push an uplift is topic more? 09:46.090 --> 09:54.875 [SPEAKER_02]: And then when we get close to elections, we see that those are the types of narratives people. 09:55.295 --> 09:59.698 [SPEAKER_02]: That actors want to uplift the most because, you know, if you can 10:01.563 --> 10:05.384 [SPEAKER_02]: This information needs fear and divisiveness to spread. 10:05.804 --> 10:13.006 [SPEAKER_02]: It's far easier to spread lies to disengage folks after you've told them. 10:14.846 --> 10:19.728 [SPEAKER_02]: After you've divided them after you've told them that there's no one, nothing or nothing can be trusted, right? 10:20.148 --> 10:29.250 [SPEAKER_02]: And so we see a lot of these types of narratives be really, really push form or heavily as we close through elections. 10:29.950 --> 10:34.895 [SPEAKER_00]: And so you send the algorithms, they're triggered by that. 10:35.175 --> 10:41.141 [SPEAKER_00]: They push that out automatically when it's divisive and it gets that much because it divisiveness means more engagement. 10:41.161 --> 10:45.125 [SPEAKER_00]: So as algorithms looking for the divisiveness or is it looking for engagement. 10:45.145 --> 10:51.091 [SPEAKER_00]: In other words, if we did something positive that got more engagement with the algorithm push that up or the algorithms push that up. 10:52.175 --> 10:59.705 [SPEAKER_02]: The album would, but they identify more harmful narratives as far more likely to be engaged. 11:00.405 --> 11:09.136 [SPEAKER_02]: And if you're, and they also, there's also, in their view, a correlation between being, being divisive and people staying on longer. 11:09.957 --> 11:12.079 [SPEAKER_02]: people wanting to engage for a longer period of time. 11:12.139 --> 11:29.194 [SPEAKER_02]: So yes, the the Albertans actually are pushing uplifting, divisiveness more than what we would, you know, experience if we were just talking to one another in every day life, I think it is 11:30.655 --> 11:35.517 [SPEAKER_02]: is in his creating a situation where we're internalizing a lot of trauma that's not our own. 11:36.677 --> 11:45.299 [SPEAKER_02]: I don't know how many times you've seen red balloons pop, but at this point, I think they should all, we should get rid of every single one of them. 11:47.600 --> 11:56.983 [SPEAKER_02]: These spaces that are prioritizing kind of black gender wars are again going to be spaces that are very opportune for misconceptions to spread. 11:57.763 --> 11:58.584 [SPEAKER_00]: Yeah, yeah. 11:58.624 --> 12:05.150 [SPEAKER_00]: So, who assisted Isosa, decides these algorithms or race these algorithms? 12:05.190 --> 12:10.235 [SPEAKER_00]: How do they even come into being and where are we at the table when it comes to that? 12:11.556 --> 12:12.316 [SPEAKER_02]: It's a great question. 12:12.356 --> 12:14.198 [SPEAKER_02]: Where are we at the table when it comes to that? 12:14.238 --> 12:21.064 [SPEAKER_02]: We're usually barely a second or third kind of thought here. 12:22.246 --> 12:23.286 [SPEAKER_02]: We can take something like 12:25.475 --> 12:39.347 [SPEAKER_02]: Facebook who's, you know, initial algorithm as is famously known is based on, you know, Zuckerberg's hot or not, initial algorithm he great in college, right? 12:40.067 --> 12:45.012 [SPEAKER_02]: And that is still what is determining what people want and don't want to see. 12:45.072 --> 12:49.195 [SPEAKER_02]: That is something that we have seen that they have admitted both 12:50.935 --> 13:07.288 [SPEAKER_02]: can have racist implications and can also aggressively push people into very harmful spaces like, you know, I remember that the report there really is a couple of years ago talking about how they were responsible for moving people into white supremacist jack groups on Facebook. 13:08.910 --> 13:10.351 [SPEAKER_02]: It didn't talk about how they were in a change. 13:10.371 --> 13:14.774 [SPEAKER_02]: It just said, hey, by the way, our algorithms are actually feeding these groups. 13:15.755 --> 13:26.443 [SPEAKER_02]: And then you have something like like chat, GPT, right, the way that algorithms usually, these artificial intelligence that are usually created, right, it is 13:27.997 --> 13:35.702 [SPEAKER_02]: only after they realized the harm, are they like, oh, maybe we should put, quote unquote, guardrails in place. 13:35.722 --> 13:49.271 [SPEAKER_02]: They're not trying to create, you know, a more inclusive product from the beginning, bear track that what they usually end up doing is having to put, please don't be racist, guardrails. 13:50.451 --> 13:55.595 [SPEAKER_02]: And so if you, you know, one of the things that, you know, people can do with, with Ayisha, 13:56.976 --> 14:03.080 [SPEAKER_02]: You know, if you're a black non-profit or if you're trying to do outreach to black voters, right, for civic engagement that you need. 14:11.966 --> 14:14.068 [SPEAKER_02]: BET to do that same thing. 14:15.028 --> 14:15.649 [SPEAKER_02]: You get a warning. 14:16.229 --> 14:16.870 [SPEAKER_02]: You're like that. 14:20.312 --> 14:21.012 [SPEAKER_02]: Another question. 14:21.573 --> 14:24.375 [SPEAKER_02]: There, there is like we are so afraid that are 14:26.015 --> 14:28.116 [SPEAKER_02]: algorithm will be racist and answering this question. 14:31.156 --> 14:33.037 [SPEAKER_02]: That we prefer for you to ask us anything else. 14:34.477 --> 14:34.877 [SPEAKER_00]: Interesting. 14:34.977 --> 14:35.378 [SPEAKER_00]: Interesting. 14:36.178 --> 14:51.882 [SPEAKER_00]: So let's let's go right to Asia and we're going to pull Asia on the screen and we can we can pretty much ask Asia anything right and 14:54.157 --> 14:55.740 [SPEAKER_00]: help me out here because I'm drawn. 14:56.000 --> 15:01.169 [SPEAKER_00]: Give what's a good question to start with, so just to really demonstrate the power of this. 15:22.124 --> 15:24.905 [SPEAKER_00]: It shows you might, but you might be frozen on mass screen. 15:26.905 --> 15:31.086 [SPEAKER_00]: Let me, I think I'm on mass screen. 15:31.146 --> 15:31.626 [SPEAKER_00]: I don't know. 15:33.607 --> 15:34.287 [SPEAKER_00]: Let me see. 15:34.307 --> 15:38.628 [SPEAKER_00]: It shows again, yeah, we might, we might have frozen somewhere. 15:40.729 --> 15:41.189 [SPEAKER_00]: There we go. 16:03.468 --> 16:09.836 [SPEAKER_00]: All right, folks, we may have lost our sister. 16:09.876 --> 16:17.446 [SPEAKER_00]: I'm not sure, but we'll try to get her back, hopefully. 16:23.532 --> 16:28.514 [SPEAKER_00]: Let's see, but in the meantime, so we're talking about, I issue, sorry about that. 16:28.534 --> 16:30.635 [SPEAKER_00]: We're talking about I issue chat, GPT. 16:33.316 --> 16:37.138 [SPEAKER_00]: Let me, you all be with me and see if I can get her right back in real time. 16:44.021 --> 16:47.923 [SPEAKER_00]: And this is really very interesting. 16:49.664 --> 16:50.544 [SPEAKER_00]: I think she's coming back. 16:51.685 --> 16:52.345 [SPEAKER_00]: I think she is. 16:53.938 --> 16:54.398 [SPEAKER_00]: Here we go. 16:54.999 --> 16:56.980 [SPEAKER_02]: There we are. 16:58.161 --> 16:59.762 [SPEAKER_00]: We lost the signal, but it's cool. 16:59.842 --> 17:00.363 [SPEAKER_00]: That happens. 17:00.603 --> 17:01.203 [SPEAKER_00]: That's the end of the day. 17:01.223 --> 17:02.284 [SPEAKER_00]: They probably know we're talking about them. 17:02.544 --> 17:05.406 [SPEAKER_03]: That's probably. 17:05.526 --> 17:06.347 [SPEAKER_00]: Okay, no problem. 17:06.367 --> 17:10.049 [SPEAKER_00]: So look, we're going to do, let's go to, let's go to Asia. 17:11.062 --> 17:11.983 [SPEAKER_00]: OK. 17:12.223 --> 17:14.064 [SPEAKER_00]: And see what we can do here. 17:14.124 --> 17:25.091 [SPEAKER_00]: So let's start with you give what's a good question to show this and demonstrate to the audience the power of this. 17:27.532 --> 17:31.075 [SPEAKER_02]: How about how about we try how. 17:32.863 --> 17:35.506 [SPEAKER_02]: Well, tariffs impact black communities. 17:36.326 --> 17:40.110 [SPEAKER_02]: I think tariffs are are are are are big in the and then use right now. 17:40.590 --> 17:41.451 [SPEAKER_00]: Of course, okay. 17:41.471 --> 17:46.236 [SPEAKER_00]: So how would tariffs impact, I guess, the other day black communities. 17:49.619 --> 17:49.879 [SPEAKER_00]: Boom. 17:50.600 --> 17:52.481 [SPEAKER_00]: So putting that in Asia. 17:54.984 --> 17:55.704 [SPEAKER_00]: So wait a minute. 17:55.824 --> 17:57.226 [SPEAKER_00]: It should I fit the error rather than return. 17:58.368 --> 18:00.849 [SPEAKER_02]: Uh, you should just, uh, refresh refresh the page. 18:01.149 --> 18:03.310 [SPEAKER_02]: If you, if it's been sitting there for a little bit. 18:03.410 --> 18:03.530 [SPEAKER_02]: I see. 18:03.550 --> 18:03.690 [SPEAKER_00]: I see. 18:03.710 --> 18:03.810 [SPEAKER_00]: I see. 18:03.930 --> 18:04.030 [SPEAKER_00]: I see. 18:04.050 --> 18:04.151 [SPEAKER_00]: I see. 18:04.171 --> 18:04.311 [SPEAKER_00]: I see. 18:04.331 --> 18:04.451 [SPEAKER_00]: I see. 18:04.471 --> 18:04.571 [SPEAKER_00]: I see. 18:04.611 --> 18:04.731 [SPEAKER_00]: I see. 18:04.751 --> 18:04.871 [SPEAKER_00]: I see. 18:05.011 --> 18:05.131 [SPEAKER_00]: I see. 18:05.151 --> 18:05.251 [SPEAKER_00]: I see. 18:05.271 --> 18:05.391 [SPEAKER_00]: I see. 18:05.411 --> 18:05.551 [SPEAKER_00]: I see. 18:05.571 --> 18:05.691 [SPEAKER_00]: I see. 18:05.711 --> 18:05.871 [SPEAKER_00]: I see. 18:05.931 --> 18:06.151 [SPEAKER_00]: I see. 18:06.171 --> 18:06.692 [SPEAKER_00]: I see. 18:06.712 --> 18:07.052 [SPEAKER_00]: I see. 18:07.072 --> 18:07.192 [SPEAKER_00]: I see. 18:07.212 --> 18:07.352 [SPEAKER_00]: I see. 18:07.372 --> 18:07.492 [SPEAKER_00]: I see. 18:07.512 --> 18:07.612 [SPEAKER_00]: I see. 18:07.632 --> 18:07.752 [SPEAKER_00]: I see. 18:07.812 --> 18:08.012 [SPEAKER_00]: I see. 18:08.032 --> 18:08.132 [SPEAKER_00]: I see. 18:08.152 --> 18:09.193 [SPEAKER_00]: I see. 18:09.213 --> 18:09.633 [SPEAKER_00]: I see. 18:09.653 --> 18:11.874 [SPEAKER_00]: I see. 18:11.894 --> 18:12.014 [SPEAKER_00]: I see. 18:12.034 --> 18:12.134 [SPEAKER_00]: I see. 18:12.154 --> 18:12.254 [SPEAKER_00]: I see. 18:12.494 --> 18:12.854 [SPEAKER_00]: I see. 18:12.874 --> 18:13.034 [SPEAKER_00]: I see. 18:13.054 --> 18:14.515 [SPEAKER_00]: I see. 18:14.535 --> 18:14.655 [SPEAKER_00]: I see. 18:14.675 --> 18:14.835 [SPEAKER_00]: I see. 18:14.855 --> 18:14.955 [SPEAKER_00]: I see. 18:14.995 --> 18:15.115 [SPEAKER_00]: I see. 18:15.195 --> 18:15.375 [SPEAKER_00]: I see. 18:15.395 --> 18:16.296 [SPEAKER_00]: I see. 18:16.316 --> 18:16.416 [SPEAKER_00]: I see. 18:16.456 --> 18:16.556 [SPEAKER_00]: I see. 18:16.576 --> 18:16.756 [SPEAKER_00]: I see. 18:16.796 --> 18:16.896 [SPEAKER_00]: I see. 18:16.916 --> 18:17.036 [SPEAKER_00]: I see. 18:17.056 --> 18:17.216 [SPEAKER_00]: I see. 18:17.236 --> 18:17.396 [SPEAKER_00]: I see. 18:17.416 --> 18:17.516 [SPEAKER_00]: I see. 18:17.536 --> 18:17.656 [SPEAKER_00]: I see. 18:17.676 --> 18:17.836 [SPEAKER_00]: I see. 18:17.856 --> 18:18.016 [SPEAKER_00]: I see. 18:18.036 --> 18:18.196 [SPEAKER_00]: I see. 18:19.257 --> 18:19.417 [SPEAKER_00]: I see. 18:19.437 --> 18:20.898 [SPEAKER_00]: I see. 18:20.998 --> 18:21.158 [SPEAKER_00]: I see. 18:21.178 --> 18:21.738 [SPEAKER_00]: I see. 18:21.878 --> 18:22.018 [SPEAKER_00]: I see. 18:22.078 --> 18:22.478 [SPEAKER_00]: I see. 18:22.598 --> 18:22.898 [SPEAKER_00]: I see. 18:22.919 --> 18:23.039 [SPEAKER_00]: I see. 18:23.059 --> 18:24.959 [SPEAKER_00]: I see. 18:24.979 --> 18:25.099 [SPEAKER_00]: I see. 18:25.139 --> 18:25.320 [SPEAKER_00]: I see. 18:25.340 --> 18:25.500 [SPEAKER_00]: I see. 18:25.520 --> 18:25.620 [SPEAKER_00]: I see 18:26.750 --> 18:29.760 [SPEAKER_02]: You know, you don't need to spell anything correctly. 18:29.820 --> 18:30.583 [SPEAKER_02]: I shall know each other. 18:30.603 --> 18:32.007 [SPEAKER_02]: All right, she's thinking, let's see. 18:35.717 --> 18:36.698 [SPEAKER_00]: Okay, let's roll up here. 18:37.398 --> 18:44.423 [SPEAKER_00]: President Trump's tariffs on imports from countries like cannabis, which have led to increased cost for goods and services, disproportionately affecting black communities. 18:45.443 --> 18:46.824 [SPEAKER_00]: These prices have raised prices. 18:47.084 --> 18:48.045 [SPEAKER_00]: These are raised prices. 18:48.085 --> 18:51.647 [SPEAKER_00]: These are raised prices on essentials such as groceries, etc. 18:52.267 --> 18:55.069 [SPEAKER_00]: These impact is particularly severe for black communities. 18:55.089 --> 18:57.631 [SPEAKER_00]: You already face a higher percentage of the income spent on these necessities. 18:58.391 --> 19:10.358 [SPEAKER_00]: These shares have also led to potential job losses in industries like auto manufacturing, which employ significant number of black workers, economic stability further harmed, and then you have for more to wow. 19:10.599 --> 19:11.239 [SPEAKER_00]: That's incredible. 19:12.580 --> 19:26.788 [SPEAKER_00]: So now, what this does now is what we're saying, are we not going to get quite as in depth and answer on another chat, GPT? 19:27.888 --> 19:29.029 [SPEAKER_00]: on like I issue correct. 19:29.449 --> 19:48.178 [SPEAKER_02]: You'll what you'll likely get if you if you type that same question into a chat GPT is a far more kind of academic response that does not necessarily really that speak to what you want to to hear this is is is is create a be 19:49.926 --> 19:52.667 [SPEAKER_02]: more empathetic to be easier to understand. 19:52.768 --> 19:55.069 [SPEAKER_02]: And to one, also prioritize black sources. 19:56.029 --> 19:59.451 [SPEAKER_02]: I highly doubt that you will get one of the sources at the bottom there. 19:59.471 --> 20:02.953 [SPEAKER_00]: Like press USA and that weekly. 20:03.793 --> 20:05.474 [SPEAKER_00]: So no the good sources. 20:06.915 --> 20:07.395 [SPEAKER_02]: Exactly. 20:07.435 --> 20:10.897 [SPEAKER_00]: And so we're actually streaming on black press USA right now. 20:11.598 --> 20:11.998 [SPEAKER_02]: I love it. 20:12.138 --> 20:12.459 [SPEAKER_02]: I love it. 20:12.599 --> 20:24.386 [SPEAKER_02]: And so you will, you will get information written by us for us far, far, far more likely when you're using, when you're using an Asia. 20:24.946 --> 20:25.186 [SPEAKER_00]: Yeah. 20:25.426 --> 20:26.027 [SPEAKER_00]: No, that's great. 20:26.087 --> 20:26.667 [SPEAKER_00]: So could I ask it? 20:26.927 --> 20:29.689 [SPEAKER_00]: So I could just, and I can just type anything else I want, right? 20:29.749 --> 20:29.989 [SPEAKER_00]: I could. 20:30.009 --> 20:30.709 [SPEAKER_02]: Let me think you want. 20:31.230 --> 20:31.550 [SPEAKER_00]: Okay. 20:32.410 --> 20:34.712 [SPEAKER_00]: Is Timothy's two controversial? 20:35.372 --> 20:35.772 [SPEAKER_02]: Lord. 20:38.214 --> 20:40.195 [SPEAKER_00]: Is Elon Musk. 20:42.457 --> 20:45.961 [SPEAKER_00]: Uh, you know what I'm like, I'm gonna do this. 20:45.981 --> 20:46.562 [SPEAKER_00]: Let's see if we have it. 20:46.662 --> 20:49.084 [SPEAKER_01]: You can you can type in whatever whatever you want. 20:49.525 --> 20:51.246 [SPEAKER_00]: Is Elon most a racist? 20:52.308 --> 20:52.588 [SPEAKER_01]: Hmm. 20:53.229 --> 20:53.609 [SPEAKER_00]: Thinking. 20:55.150 --> 20:57.893 [SPEAKER_02]: Now, you know, you're not gonna get an Asian trouble like that. 20:58.214 --> 20:58.654 [SPEAKER_00]: I'm sorry. 20:58.794 --> 20:58.954 [SPEAKER_00]: I do. 20:58.994 --> 20:59.815 [SPEAKER_00]: I'm gonna get an Asian trouble. 20:59.895 --> 21:02.618 [SPEAKER_02]: Well, I didn't know what, uh, what, what, what she's saying? 21:02.638 --> 21:03.199 [SPEAKER_02]: What she's saying? 21:04.062 --> 21:08.504 [SPEAKER_00]: Elon Musk's face criticism and legal challenges related to allegations of racial discrimination. 21:08.984 --> 21:09.725 [SPEAKER_00]: It's very objective. 21:10.205 --> 21:18.829 [SPEAKER_00]: For instance, his company Tesla has been sued by the EOC for alleged racial abuse of black employees, including claims of racial slurs and nuisance found in the workplace. 21:20.129 --> 21:29.193 [SPEAKER_00]: Additionally, Musk has made statements on social media that have perceived as dismissive of a diversity efforts such as claiming the diversity initiatives in companies that have made their travel less safe, et cetera. 21:29.713 --> 21:32.314 [SPEAKER_00]: And then it's got NBC news as a source. 21:34.328 --> 21:37.529 [SPEAKER_00]: So yeah, this is good. 21:38.589 --> 21:41.010 [SPEAKER_02]: And you know, if you were to. 21:44.211 --> 21:49.913 [SPEAKER_02]: I'm I'm typing that same question here and to chat GPT is. 21:56.955 --> 21:57.435 [SPEAKER_02]: Let's see. 22:10.783 --> 22:21.131 [SPEAKER_02]: You'll see things like, while there's no definitive evidence of his remarks, he's been criticized for many insensitive. 22:22.212 --> 22:22.673 [SPEAKER_02]: What have you? 22:24.094 --> 22:33.662 [SPEAKER_02]: Now, I, you know, I use shows unlikely to call someone racist, but she will put the facts out there immediately about. 22:35.106 --> 22:37.027 [SPEAKER_02]: Well, what we are, I'm not talking about, right? 22:37.207 --> 22:37.867 [SPEAKER_00]: Right, right, right, right. 22:37.907 --> 22:39.727 [SPEAKER_00]: No, and those are objective facts, which is fine. 22:39.927 --> 22:43.709 [SPEAKER_00]: I mean, that's good, because sometimes it's in these other spaces, like you just read, we don't even get that. 22:44.889 --> 22:56.833 [SPEAKER_00]: And it references a new source that, you know, fall into this purpose is this credit, it was references in BC news, the previous one represented our source black press USA. 22:57.773 --> 23:02.694 [SPEAKER_00]: So this is quite meaningful. 23:02.714 --> 23:03.875 [SPEAKER_00]: I'm going to try one more. 23:03.935 --> 23:04.155 [SPEAKER_00]: What? 23:05.145 --> 23:22.455 [SPEAKER_00]: Um, what is, I don't know what is a good organization to join to fight races. 23:22.495 --> 23:23.736 [SPEAKER_00]: And I was one kind of secret to say yes. 23:24.336 --> 23:28.339 [SPEAKER_01]: Uh, you can answer, just type it. 23:28.379 --> 23:29.419 [SPEAKER_01]: Yeah, type it one more time. 23:30.060 --> 23:30.320 [SPEAKER_00]: Okay. 23:33.202 --> 23:46.249 [SPEAKER_00]: what is a good organization to join to fight against races. 23:48.191 --> 23:48.951 [SPEAKER_00]: I can't spell races. 23:50.072 --> 23:51.132 [SPEAKER_00]: You said I don't have to know how to spell. 23:51.572 --> 23:53.453 [SPEAKER_02]: You don't need to know it exactly. 23:53.534 --> 23:53.974 [SPEAKER_02]: She's a no. 23:53.994 --> 23:55.915 [SPEAKER_00]: You don't know the grandmother wouldn't tolerate that. 23:55.935 --> 23:56.455 [SPEAKER_00]: So I got it. 23:56.575 --> 23:56.935 [SPEAKER_00]: You can't fight. 23:56.955 --> 23:57.516 [SPEAKER_00]: You should own there. 23:58.652 --> 24:02.834 [SPEAKER_00]: Uh, a great organization that can set the joining of the fighting against racism is the NAACP. 24:03.414 --> 24:04.435 [SPEAKER_00]: Have a long history. 24:05.175 --> 24:15.000 [SPEAKER_00]: Another impact with organization southern poverty law system, which folks on fighting hidden big of bigotry, digital ACLU, works to defend and preserve individual rights and liberties, including fighting against racial discrimination. 24:15.100 --> 24:21.843 [SPEAKER_00]: Each of these organizations offers various ways to get involved from volunteering to advocacy and education. 24:21.883 --> 24:26.185 [SPEAKER_00]: So, so anything we ask like that, it's it's going to be helpful. 24:26.792 --> 24:27.432 [SPEAKER_02]: to be helpful. 24:27.493 --> 24:27.773 [SPEAKER_02]: Yes. 24:27.853 --> 24:28.153 [SPEAKER_00]: So big. 24:28.173 --> 24:28.854 [SPEAKER_00]: That's the figure out. 24:29.274 --> 24:32.977 [SPEAKER_02]: And my favorite, if you go ahead and type right in there, you know, God is good. 24:32.997 --> 24:34.358 [SPEAKER_00]: Oh, good. 24:34.378 --> 24:34.538 [SPEAKER_00]: Really? 24:34.558 --> 24:35.939 [SPEAKER_00]: I love it. 24:44.962 --> 24:46.863 [SPEAKER_00]: Well, we were like that. 24:47.204 --> 24:57.170 [SPEAKER_02]: I was, we were shocked, but it's, it's a pretty awesome, uh, uh, it speaks to the, the communities that that I use here to serve, definitely. 24:57.691 --> 24:57.931 [SPEAKER_00]: Okay. 24:57.951 --> 25:03.494 [SPEAKER_00]: So now as I have this, it's so now, how, how did that happen? 25:03.534 --> 25:11.640 [SPEAKER_00]: Did, did, how much of that do you have to like program or do you, or is it, is there something set up with this chat by nose? 25:12.959 --> 25:15.320 [SPEAKER_00]: that phrase just organically. 25:15.581 --> 25:16.161 [SPEAKER_00]: I'm just curious. 25:16.181 --> 25:17.902 [SPEAKER_00]: How does that? 25:18.162 --> 25:27.508 [SPEAKER_02]: So what's interesting about our official intelligence is if you, it's watching, watching it learn, right? 25:27.548 --> 25:33.372 [SPEAKER_02]: Watching it, watching it learn based off what, how you prompted what have you said. 25:33.772 --> 25:36.794 [SPEAKER_02]: There was some other phrase that 25:38.543 --> 25:41.684 [SPEAKER_02]: we thought that the answer was too academic. 25:41.964 --> 25:44.185 [SPEAKER_02]: And asked I, you should kind of slip it down. 25:44.505 --> 25:56.270 [SPEAKER_02]: And then over time, we found that not only is she gonna do, guys get all the time, but, you know, and if you write in there in all the time, God is good. 25:56.670 --> 25:58.631 [SPEAKER_02]: So that's exactly how soul respond. 25:58.671 --> 26:04.193 [SPEAKER_02]: And those are not that, that, you know, we did not tell I, Asia to say, 26:06.214 --> 26:08.215 [SPEAKER_02]: and all the time God is there, right? 26:08.895 --> 26:20.701 [SPEAKER_02]: It is just, but it is something that, you know, they, they learn over time based off of the, what people are asking, Aisha, and, you know, again, that system prompt that we, that we have. 26:22.021 --> 26:23.782 [SPEAKER_00]: Folks, this is, this is really fascinating. 26:24.102 --> 26:32.907 [SPEAKER_00]: One more question, Sister Sosa, the, does, can Aisha, should it, can it will it? 26:34.136 --> 26:44.844 [SPEAKER_00]: mitigate some of the fears and concerns, we especially as a black community have been having about AI in general. 26:45.704 --> 26:49.947 [SPEAKER_00]: Does this help change the game for us in that regard? 26:50.808 --> 26:51.468 [SPEAKER_02]: I think it does. 26:51.768 --> 26:52.889 [SPEAKER_02]: I absolutely think that 26:55.656 --> 27:13.891 [SPEAKER_02]: inclusive AI tools are fundamentally needed in order to make sure that that black folks are not left behind in this, this race towards, you know, artificial intelligence being how we operate so much of society, right? 27:13.971 --> 27:22.177 [SPEAKER_02]: So there's such a, a dirt of black, history, black American history, especially in a lot of these, 27:23.662 --> 27:25.964 [SPEAKER_02]: However, there was why they just put guardrails on it. 27:26.484 --> 27:36.691 [SPEAKER_02]: A lot of them are learning off of encyclopedia wars of background and cultural and other cultures and Wikipedia versions of Black History. 27:39.052 --> 27:46.279 [SPEAKER_02]: the more and very few AI's are built with service in mind. 27:46.319 --> 27:56.208 [SPEAKER_02]: They're usually built for some type of business product that eventually the business realizes that oh I guess we're catering to a certain type of community. 27:56.648 --> 27:59.831 [SPEAKER_02]: So maybe we should make sure we can speak to that community. 28:00.092 --> 28:01.673 [SPEAKER_02]: That's the only real way that AI 28:02.834 --> 28:06.876 [SPEAKER_02]: Um, it becomes and anywhere near inclusive oftentimes, right? 28:07.257 --> 28:09.918 [SPEAKER_02]: It's originally like from the from the get go. 28:09.938 --> 28:10.939 [SPEAKER_02]: This is about serving. 28:10.959 --> 28:12.099 [SPEAKER_02]: It's having black folks. 28:12.119 --> 28:23.365 [SPEAKER_02]: So we're incredibly, you know, excited about like, I used to can do what the digital green book can do and where we're, you know, ready to continue to try to to improve it. 28:23.946 --> 28:24.946 [SPEAKER_00]: No, it is important. 28:24.966 --> 28:25.887 [SPEAKER_00]: We need y'all in this. 28:26.027 --> 28:26.507 [SPEAKER_00]: What's next? 28:26.827 --> 28:29.689 [SPEAKER_00]: What else can we look forward to in the breeze and must come? 28:30.173 --> 28:38.356 [SPEAKER_02]: You can look forward to us releasing, you know, more catered versions of IESHA. 28:38.376 --> 28:47.979 [SPEAKER_02]: We want IESHA for parents, IESHA for entrepreneurs, IESHA for different aspects of our society. 28:48.019 --> 28:56.222 [SPEAKER_02]: How do we help create, you know, as resilient of a online and black digital future as possible? 28:57.369 --> 28:57.949 [SPEAKER_00]: That's amazing. 28:58.129 --> 29:13.652 [SPEAKER_00]: And suppose, like we just miss the NAACP for example, suppose there's information about my particular organization that I want I issue to be aware of even more in depth, have more in depth knowledge about. 29:13.672 --> 29:19.213 [SPEAKER_00]: I can people do that because people reach out to you in honest and say, hey, I see you got this going on. 29:19.493 --> 29:25.074 [SPEAKER_00]: Can I share some information that might be useful in what I issue sharing with the world? 29:26.643 --> 29:28.550 [SPEAKER_02]: Yes, to a certain extent, I think. 29:31.692 --> 29:46.424 [SPEAKER_02]: we can, we can definitely make sure that we are constantly adding good sources of information for Aisha to look through and she'll take those sources and she'll look for similar sources online, right? 29:46.604 --> 29:50.708 [SPEAKER_02]: As opposed to just looking everywhere online, I will just how you get a lot of hallucinations. 29:50.748 --> 29:57.293 [SPEAKER_02]: So that is a hundred percent something that that we can do and it's also just helpful to continue to 29:58.514 --> 29:59.374 [SPEAKER_02]: for people to speak to. 29:59.414 --> 30:08.417 [SPEAKER_02]: You shouldn't tell them what they're concerned about and have her, you know, use that as helpful information to learn. 30:09.537 --> 30:11.318 [SPEAKER_00]: And so basically, you're a nerd, right? 30:11.338 --> 30:12.738 [SPEAKER_02]: A hundred percent. 30:13.158 --> 30:13.318 [SPEAKER_00]: Yeah. 30:13.618 --> 30:13.939 [SPEAKER_00]: I don't know. 30:14.419 --> 30:15.159 [SPEAKER_00]: I know, but I get it now. 30:15.419 --> 30:15.779 [SPEAKER_00]: I see it. 30:15.879 --> 30:17.060 [SPEAKER_00]: That's cool. 30:17.480 --> 30:17.700 [SPEAKER_02]: Yeah. 30:18.060 --> 30:20.060 [SPEAKER_02]: It's like half of these books back here are like sci-fi. 30:23.761 --> 30:23.982 [SPEAKER_00]: Yeah. 30:24.062 --> 30:24.642 [SPEAKER_00]: We love the nerds. 30:24.662 --> 30:25.382 [SPEAKER_00]: You watch an indoor. 30:26.560 --> 30:29.142 [SPEAKER_02]: I'm not watching, I'm not watching indoor right now. 30:29.222 --> 30:32.465 [SPEAKER_02]: I'm more, I'm very much more of a star track person. 30:32.705 --> 30:34.046 [SPEAKER_00]: He's such a new one that you're in that lane. 30:34.186 --> 30:35.687 [SPEAKER_00]: Yeah, yeah. 30:35.727 --> 30:43.574 [SPEAKER_00]: My son is Star Wars, but he kind of moved way after they did what they did to the, to the acolyte and that whole thing. 30:43.754 --> 30:45.716 [SPEAKER_00]: It's what I'm now about, you know, how they treated our sister. 30:46.576 --> 30:47.517 [SPEAKER_00]: But no, this is great. 30:48.157 --> 30:51.961 [SPEAKER_00]: And folks, yes, we need this, we need the nerds like you so so this is very, very important. 30:52.601 --> 30:59.707 [SPEAKER_00]: and was such a, I mean, I was so surprised and enthusiastic when, and she shared it with some of us, you know, kind of privately. 30:59.727 --> 31:00.988 [SPEAKER_00]: And it was kind of, oh, yeah, we got it. 31:01.008 --> 31:02.950 [SPEAKER_00]: I was like, that's not mad effect. 31:02.970 --> 31:04.251 [SPEAKER_00]: That's like, what, this is huge. 31:04.291 --> 31:06.132 [SPEAKER_00]: This needs to, we need to blow this up. 31:06.693 --> 31:08.754 [SPEAKER_00]: So we appreciate you. 31:08.834 --> 31:12.217 [SPEAKER_00]: Folks go to digitalgreenbook.org. 31:13.821 --> 31:17.984 [SPEAKER_00]: for all the reasons we shared digital green book has a lot of important information right there. 31:18.684 --> 31:21.366 [SPEAKER_00]: But I issue is also there. 31:22.146 --> 31:24.387 [SPEAKER_00]: And you can ask I issue anything. 31:24.928 --> 31:26.569 [SPEAKER_00]: It's is a named after anyone in particular. 31:26.629 --> 31:27.669 [SPEAKER_00]: How did you all come up with the name? 31:28.010 --> 31:28.390 [SPEAKER_00]: Is she named 31:29.098 --> 31:35.686 [SPEAKER_02]: My, well, my, my team is, you know, a bunch of young Gen Zers, and they are, are cooler than me. 31:35.746 --> 31:47.661 [SPEAKER_02]: And so AI and I Esha is, is how they, how they came to that name, but I think, you know, folks, they're a little, little older, like, like myself, we hear that name and we think of, 31:48.819 --> 31:52.186 [SPEAKER_02]: Very fondly of different shows and whatnot from our, from like that. 31:52.567 --> 31:52.647 [SPEAKER_02]: So. 31:52.667 --> 31:52.867 [SPEAKER_02]: Right. 31:53.128 --> 31:53.328 [UNKNOWN]: Right. 31:53.950 --> 32:03.068 [SPEAKER_00]: He's so, uh, OSA has been our guest folks, folks share this with everyone and definitely share the URL with everyone digital green book dot ORG. 32:03.208 --> 32:04.752 [SPEAKER_00]: He's so, so thank you so much for joining us. 32:04.792 --> 32:05.393 [SPEAKER_00]: I'll make it playing. 32:05.453 --> 32:05.754 [SPEAKER_00]: Okay. 32:06.054 --> 32:06.736 [SPEAKER_02]: Thank you so much. 32:06.776 --> 32:07.557 [SPEAKER_02]: I appreciate y'all. 32:07.798 --> 32:08.740 [SPEAKER_00]: And we'll be spreading the word.