![]() Q: What got you interested in AI and computer vision?Ī: I did not make the connection between being an engineer or a scientist and, you know, wars or labor issues or anything like that. It’s just a double punishment, right? In order to reverse that, I think we need to make sure that we advocate for the people who are not at the table, who are not driving this development and influencing its future, to be able to have the opportunity to do that. And then we’re using AI technology to keep out climate refugees. Talking about the African continent, it’s paying a huge cost for climate change that it didn’t cause. We’re thinking carefully about who do we want to reach.Ī: Technology affects the entire world right now and there’s a huge imbalance between those who are producing it and influencing its development, and those who are are feeling the harms. We’re working on visualizations to figure out how to communicate our results to the general public. It’s her doing things that are relevant to her community. It’s not her studying some other community and swooping in. Our research fellow (Raesetje Sefala) is someone who grew up in a township. One of our initial projects is about using satellite imagery to study spatial apartheid in South Africa. ![]() Q: Can you describe some of the projects DAIR is pursuing that might not have happened elsewhere?Ī: One of the things we’re focused on is the process by which we do this research. The number one way in which we’re using this technology is to keep people out. So at the U.S.-Mexico border, you’ll see all sorts of automated things that you haven’t seen before. First, in warfare, and then to keep the refugees - as a result of that warfare - out. ![]() But then the government is using all of these technologies that we’ve been warning about. There are some wins: a number of cities and municipalities have banned the use of facial recognition by law enforcement, for instance. We’ve been talking about face recognition and surveillance based on this technology for a long time. Q: What are the most concerning AI applications that deserve more scrutiny?Ī: What’s so depressing to me is that even applications where now so many people seem to be more aware about the harms - they are increasing rather than decreasing. When there’s cases when it should not be built, we can say, ‘Well, this should not be built.’ We’re not coming at it from a perspective of tech solutionism. If there is AI to be built or researched, how do you do it well? You want to involve communities that are usually at the margins so that they can benefit. I saw how people in certain places just can’t influence the actions of tech companies and the course that AI development is taking. When I decided to (start DAIR), the very first thing that came to my mind is that I want it to be distributed. The ones that I wouldn’t be - it would be just very difficult to work in that kind of environment. Confusion as Musk's Twitter yanks blue checks from agenciesĪ: After I got fired from Google, I knew I’d be blacklisted from a whole bunch of large tech companies.
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