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

Can we shut down AI?

The debate over potential dangers posed by artificial intelligence has resurfaced in recent weeks, with researchers once again warning that the technology could end humanity and leaders of AI companies suggesting development ...

Machine learning & AI

Meta chief pushes back on AI slowdown calls

Meta CEO Mark Zuckerberg pushed back Tuesday against growing calls to pause or slow AI development, arguing that market incentives and legal liability are the best safeguards against the technology's risks.

Machine learning & AI

AI giants pursue self-regulation as safety fears mount

The world's biggest AI companies are working to create a standards body, ChatGPT maker OpenAI said Tuesday, as fears rise about the dangers of AI and pressure mounts to create a safer version of the technology.

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