Page 2: 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.

Consumer & Gadgets

The consequences of relying on AI for accurate news

It's no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language models (LLMs) like ChatGPT, ...

Machine learning & AI

New framework could standardize high-stakes AI in toxicology

A perspective in Frontiers in Artificial Intelligence titled "Evidence-based AI: from trailblazer to trustblazer?" introduces a formal discipline called Evidence-based AI that applies the rigorous standards of medicine and ...

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