md.ekstrandom.net
Info sci prof @ Drexel, trying to keep the machines (esp. RecSys & IR) from learning bigotry and discrimination. ADHDS9. Usually self-propelled. Opinions those of the Vulcan Science Academy. đ°x2.
đĄ https://md.ekstrandom.net
đ§Ș https://inertial.science
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And this has always been the risk of âinstitutional neutralityâ:
At some point, a school was going to say âwe canât say racism or naziism are bad.â
Which, obviously, is NOT A NEUTRAL TAKE.*
And here we are. Institutional silence from a law school abt paper saying âwhites onlyâ winning a prize.
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on a serious note, the fact that it's this hard to get ai models to mirror the political biases of their creators is actually kinda encouraging
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I also offer discounted rates on not building torment nexii.
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I will gladly not build a robot god for only $10M.
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paging @nickseaver.website.
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I need renewable brain nutrients.
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So letâs not just think about whether we could, but think about whether we should, and what we should, and for whom and *with whom* we should, and ground âAIâ research programs and product lifecycles in a human vision of information and work.
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There is a rich set of concepts beyond âmake users happyâ or âsell widgetsâ that can motivate and inform information access research and practice. Librarians and information scientists have thought about this a lot! They also show up in our codes of ethics, AI principles, and motivation sections.
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In this talk, I will be further developing a line of thought Iâve been working on the last few years: _why_ do we recommend, or retrieve, or support information access? What are the social goals? And how do these goals inform how we can and should think about designing and measuring such systems?
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Glad to see the Vatican continuing the tradition of âbetter STS than 95% of computer scientistsâ.
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I think regional meetings with international connections are an important space to innovate on sustainable, inclusive structures for scholarly communities, so I am very happy to support this event and to be at the FAccT NYC meeting today (will be back there in 20min, say hi if youâre there!).
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Ohh, these might be useful for a project weâre working on!
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đđđ
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ooh!!
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Check out the camera-ready version of our ICML position paper ("Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge") to learn more!!! arxiv.org/abs/2502.00561
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