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.

Internet

AI giants promise publishers new way to block some scraping

OpenAI, Google, Microsoft and Anthropic pledged on Friday to give media outlets and other websites a single way to prevent their content from being scraped to train artificial intelligence (AI) models, amid growing criticisms ...

Business

Experts discuss AI's impact on the future workforce

Worried about your employment prospects now that the next level of artificial intelligence has arrived, accompanied by breakthroughs like ChatGPT? "Don't be," says Barry Smith, Ph.D., SUNY distinguished professor of philosophy ...

Business

Anthropic's record IPO faces some big questions

No startup has ever grown so fast. In five years, Anthropic has become an AI giant valued at $1 trillion, and it is now aiming for a record-breaking stock market debut.

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