Page 17: 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

US crackdown on top AI fuels open-source surge

The U.S. government's shock moves to restrict access to top artificial intelligence systems from Anthropic and OpenAI have sparked growing interest in open-source models—especially ones from China.

Software

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB have developed RealOrRender, ...

Business

Should we fear an AI bubble bust?

Recent swings in tech stocks are reviving fears of an AI bubble—and some experts warn that if it pops, the fallout could be bigger than anything Wall Street has ever seen.

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