Page 28: 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

Rivalry as a craft: Study reveals how writers compete with AI

Writers are not passive victims of AI disruption but active crafters of their professional futures, according to new research from New York University presented at the ACM CHI conference on Human Factors in Computing Systems ...

Machine learning & AI

Exploring the 'Jekyll-and-Hyde tipping point' in AI

Language learning machines, such as ChatGPT, have become proficient in solving complex mathematical problems, passing difficult exams, and even offering advice for interpersonal conflicts. However, at what point does a helpful ...

page 28 from 33