Page 7: 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

AI works best with humans—not instead of them

A new academic study says the most effective use of artificial intelligence may be to strengthen human thinking and decision-making, rather than replace it. Published in the Journal of Knowledge Management, the paper examines ...

Machine learning & AI

Anthropic says will put AI risks 'on the table' with Mythos model

American AI developer Anthropic plans to "lay the risks out on the table" even as it restricts deployment of a new model dubbed Mythos, whose powerful cybersecurity capabilities raise stark questions for companies and governments.

Machine learning & AI

AI 'agent' fever comes with lurking security threats

Artificial intelligence "agents" promise to save users time and energy by automating tasks, but the growing power of systems like OpenClaw is setting cybersecurity experts on edge.

Machine learning & AI

Unpredictable AGI may resist full control, making diverse AI safer

Public concern about AI safety has grown significantly in recent years. As AI systems become more powerful, a key question is how we make sure they do what we actually want. Now, researchers suggest that rather than trying ...

Business

AI's big productivity boost? It's happening from the sofa

A new study by SIEPR's Michael Blank is among the first to examine an overlooked effect of generative AI: it's significantly boosting how much people get done at home. Barely a day goes by when there isn't a story about generative ...

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