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

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 ...

Consumer & Gadgets

How AI can become more transparent and reliable

When artificial intelligence is used to support or make important decisions in areas such as health care and public administration, it becomes crucial to understand how these systems arrive at their conclusions. A new doctoral ...

Machine learning & AI

Anthropic expands access to powerful Mythos AI model

Anthropic on Tuesday gave approximately 150 organizations around the world access to Mythos, its powerful new AI model whose rapid ability to identify weaknesses in computer security has sparked global concern.

Machine learning & AI

This researcher put AI in the big game. It did not play well

A researcher analyzing reams of data. A traveler translating a foreign language. A student writing an essay. There are many ways that artificial intelligence has been proven to help an individual in a challenging situation. ...

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