Page 25: 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.

Computer Sciences

Chatbot dreams generate AI nightmares for Bay Area lawyers

A Palo Alto, California, lawyer with nearly a half-century of experience admitted to an Oakland federal judge this summer that legal cases he referenced in an important court filing didn't actually exist and appeared to be ...

Security

How is AI enhancing scams?

By now, you know the email from a wealthy African prince is a fraud. But is that really a friend's voice on the telephone saying they're in trouble?

Machine learning & AI

Artificial intelligence may not be artificial

The term artificial intelligence renders the sense that what computers do is either inferior to or at least apart from human intelligence. AI researcher Blaise Agüera y Arcas argues that may not be the case.

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