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.

Engineering

Generative AI: Modeling a proper cuppa from a proper pot

The Yixing Zisha teapot sits neatly at the intersection of art, engineering and heritage. As such, it makes for an intriguing test case for a technology increasingly taking on creative tasks across almost every field of human ...

Business

Will companies ever be run by an AI CEO?

OpenAI's CEO Sam Altman has speculated about how long it will take for artificial intelligence to replace senior leadership teams in organizations. "Shame on me," Altman told the Conversations with Tyler podcast in November ...

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