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CS Student at UC Berkeley Develops Tech to Combat Social Media Harms
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CS Student at UC Berkeley Develops Tech to Combat Social Media Harms

Sana Pandey, who is an intern at CHAI, was featured on CBS News in the Bay Area for her work in recommender system alignment. She discussed what drove her to enter the world of recommender systems and her ongoing work with Jonathan Stray on integrating alternatives to engagement into optimization frameworks. The interview also featured Mark Nitzberg who explained the real-world applications and relevance of the project.

Announcement of Working Group on AI
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Announcement of Working Group on AI

The Partnership on Information and Democracy have acknowledged the pressing need to develop democratic principles and rules to govern AI in the information space. Democracy and our democratic institutions must decide the ethical use and safeguards of the development, deployment and use of AI. This cannot be left to the private sector who are currently setting the rules of the game. The history of social media illustrates the danger of allowing tech companies to set the rules and ethical uses. Countries must act to safeguard a democratic and trustworthy information space.

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
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ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available. However, many of the fairness solutions proposed revolve around technical considerations and not the needs of and consequences for the most impacted communities.