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In this post, I discuss the case study examining how copyright struggles to keep up with generative AI. The study asks key questions about authorship, data use, and the future of creative work in an AI-driven world.
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How can Machiene learning be harmful
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In a world where AI is increasingly influential and often used as a learning tool, it is crucial that these systems accurately represent marginalized groups. This article will specifically explore how AI misrepresents people of color and examine the broader harms that result from these misrepresentations.
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Exploring how digital tools and networks plays a crucial role in supporting reproductive rights and abortion access in Latin America. Highlighting the challenges activists face from censorship on social media and the importance of building community care.
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How does generative artificial intelligence (AI) work? Where does it work well, and where does it falter? How we can mitigate the harms of generative AI through technical and structural changes?
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In today’s world, decisions about our lives such as loans, jobs, or even criminal sentencing, are increasingly made by algorithms. But what happens when these data-driven rules don’t fit everyone? This blog explores a case study that highlights how people who don’t match the “average” can be unfairly affected.
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New Article
How Generative AI Works and How It Fails
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Studies show that AI can already persuade people better than expert negotiators. As AI becomes more common in business and finance, it creates new risks that our current laws and institutions are not ready to handle.