Page 3: 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

From graduation boos to voter unease: AI anxiety grows in the US

Speakers promoting AI are getting booed at universities, voters are rebelling against data centers, and even AI-friendly Trump administration officials are starting to retreat as an artificial intelligence backlash gathers ...

Machine learning & AI

How transparent is AI in the workplace and in recruitment?

As artificial intelligence continues to transform recruitment and workplace practices, questions around transparency, fairness, and trust are becoming increasingly urgent. A new article sheds light on how workers and job ...

Consumer & Gadgets

Humans are bad at making complex decisions. AI can call them out

When a list of pros and cons won't cut it, a new decision-making tool developed by Cornell researchers can use artificial intelligence to help make difficult decisions. But there's a twist: Instead of checking AI's result, ...

Computer Sciences

Blind ambition: AI agents can turn tasks into digital disasters

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing ...

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