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.

Machine learning & AI

Is recursive self‑improvement the dawning of AI superintelligence?

The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about their dangers. Most recently, its executives wrote about the threat posed by "recursive self-improvement." ...

Consumer & Gadgets

Almost half of Australian adults have used generative AI

Almost half of Australian adults have used generative artificial intelligence (GAI), with most users reporting it improves how they do their jobs or study, according to new research by the Australian National University (ANU) ...

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.

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