Page 5: 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

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 ...

Machine learning & AI

OpenAI announces restricted-access cybersecurity model

Artificial intelligence company OpenAI said Tuesday that it would release its latest cybersecurity model to a limited number of partners, after rival Anthropic also restricted release of a new system that uncovered thousands ...

page 5 from 40