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.

Security

Why the future of AI depends on trust, safety, and system quality

When Daniel Graham, an associate professor in the University of Virginia School of Data Science, talks about the future of intelligent systems, he does not begin with the usual vocabulary of cybersecurity or threat mitigation. ...

Security

How do we make sure AI is fair, safe, and secure?

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun as we search for information online. But how do we know it is safe to use, and that it's not generating ...

Consumer & Gadgets

AI can make the dead talk—why this doesn't comfort us

For as long as humans have buried their dead, they've dreamed of keeping them close. The ancient Fayum portraits—those stunningly lifelike images wrapped in Egyptian mummies—captured faces meant to remain present even after ...

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