Page 32: 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

This AI model is more certain about uncertainty

Artificial intelligence (AI) plays a role in virtually every aspect of our lives, from self-driving cars to smart vacuum cleaners, to computer models that can predict the course of an epidemic. No matter how advanced these ...

Machine learning & AI

When humans use AI to earn patents, who is doing the inventing?

The advent of generative artificial intelligence has sent shock waves across industries, from the technical to the creative. AI systems that can generate viable computer code, write news stories and spin up professional-looking ...

Engineering

Study reveals barriers to AI integration in manufacturing design

The integration of Artificial Intelligence (AI) into manufacturing processes has huge potential for improving productivity, efficiency, and safety. Machine learning models are already used to monitor equipment health and ...

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