Page 16: 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

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.

Computer Sciences

Generative AIs fail at the game of visual 'telephone'

Generative AIs may not be as creative as we assume. Publishing in the journal Patterns, researchers show that when image-generating and image-describing AIs pass the same descriptive scene back and forth, they quickly veer ...

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