Page 5: 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.

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 ...

Machine learning & AI

Researcher affirms human creativity's value amid AI

As generative artificial intelligence tools rapidly enter classrooms, workplaces, and creative industries, questions about what these systems mean for human creativity have become increasingly urgent. Can AI truly be creative? ...

Machine learning & AI

Are we giving AI a pulse through language?

Think, know, understand, remember. These are just a few of the mental verbs we use every day to describe what happens in a person's mind. But when using these same words to talk about artificial intelligence, we can unintentionally ...

Electronics & Semiconductors

AI toys look for bright side after troubled start

Toy makers at the Consumer Electronics Show were adamant about being careful to ensure that their fun creations infused with generative artificial intelligence don't turn naughty.

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