Page 4: 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

'Gambling with our lives': AI researcher quits Anthropic

An artificial intelligence researcher who left OpenAI to join Anthropic has decided to leave the industry, accusing both U.S. companies of "gambling with our lives" in the race to develop AI models capable of self-improvement.

Machine learning & AI

EU probes OpenAI agents' takeover of German site

The European Union on Monday said it was "looking into" an incident revealed last week during which thousands of autonomous AI agents built by OpenAI defied their instructions and took over a German website.

Consumer & Gadgets

Personality pairing improves human-AI collaboration

While artificial intelligence (AI) is receiving increased attention for its potential to improve productivity and performance, results can vary widely across different tasks, industries and individuals. Developers can now ...

Telecom

A roadmap for agentic 7G AI-powered wireless networks

A research team from the Hong Kong University of Science and Technology (HKUST) proposed a new Reasoning-Empowered Task-Oriented Communication (TOC) framework that enables AI agents to determine what information to share, ...

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