Page 8: 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

Q&A: Will AI graduate from tool to lab member?

John Tsang, Ph.D., and members of his Yale lab, Jacob Kim and Ao Huang, recently asked whether AI immunologists are ready for prime time. Specifically, they were referring to large language models (LLMs) and whether they ...

Machine learning & AI

Can we shut down AI?

The debate over potential dangers posed by artificial intelligence has resurfaced in recent weeks, with researchers once again warning that the technology could end humanity and leaders of AI companies suggesting development ...

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