Page 17: 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.

Business

Should the US be worried about AI bubble?

Tech giants Amazon, Meta, Alphabet, Microsoft, and Oracle have been taking on enormous new debt in a race to build out their artificial intelligence ventures in the last year, fueling Wall Street fears of a bubble capable ...

Machine learning & AI

The 'AI homeless man prank' reveals a crisis in AI education

The new TikTok trend "AI homeless man prank" has sparked a wave of outrage and police responses in the United States and beyond. The prank involves using AI image generators to create realistic photos depicting fake homeless ...

Consumer & Gadgets

Can AI be a good creative partner?

What generative AI typically does best—recognize patterns and predict the next step in a sequence—can seem fundamentally at odds with the intangibility of human creativity and imagination. However, Cambridge researchers suggest ...

Consumer & Gadgets

Fairness in AI: Study shows central role of human decision-making

AI-supported recommender systems should provide users with the best possible suggestions for their inquiries. These systems often have to serve different target groups and take other stakeholders into account who also influence ...

page 17 from 40