Research news on Generative AI ethics

Generative AI ethics examines how text-, image-, and audio-generating systems reshape cognition, creativity, work practices, and public decision-making, and how these changes raise normative and regulatory questions. The field investigates trust and distrust in algorithmic guidance, human–AI collaboration in creative and professional domains, risks such as misinformation, bias, rights violations, and safety failures, and the erosion or transformation of expertise. It integrates humanities and socio-technical perspectives to guide responsible deployment, governance, and human-centric design of generative AI systems.

Machine learning & AI

Startups bet on AI—and a leaner future

When Eric Lauer needs to hire at Giftory, the online gift-giving platform he runs, he's no longer looking for eager young coders fresh out of college.

Business

Meta employees allege discriminatory AI-driven layoffs

Twenty-six Meta employees have filed a lawsuit accusing the tech giant of using artificial intelligence to select workers for mass layoffs, a claim strongly denied by the trillion-dollar company.

Computer Sciences

Testing the limits of what's possible (and what isn't) with AI

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.

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