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Top AI ethics and policy issues of 2025 and what to expect in 2026

AIHub

This happened as generative and agentic systems became essential in key sectors worldwide. This feature highlights the major AI ethics and policy developments of 2025, and concludes with a forward-looking perspective on the ethical and policy challenges likely to shape 2026.


Copycats

Neural Information Processing Systems

In the past, MI datasets were frequently proprietary, confined to particular institutions, and stored in private repositories. In this particular setting, there is a pressing need for alternative models of data sharing, documentation, and governance. Within this context,theemergence ofCommunityContributed Platforms (CCPs) presented a potential for the public sharing of medical datasets.




Words Without Consequence

The Atlantic - Technology

What does it mean to have speech without a speaker? For the first time, speech has been decoupled from consequence. We now live alongside AI systems that converse knowledgeably and persuasively--deploying claims about the world, explanations, advice, encouragement, apologies, and promises--while bearing no vulnerability for what they say. Millions of people already rely on chatbots powered by large language models, and have integrated these synthetic interlocutors into their personal and professional lives. An LLM's words shape our beliefs, decisions, and actions, yet no speaker stands behind them. This dynamic is already familiar in everyday use. A chatbot gets something wrong. When corrected, it apologizes and changes its answer.






UnintendedSelection: PersistentQualificationRate DisparitiesandInterventions

Neural Information Processing Systems

Forinstance, theproportions ofpotential loan applicants ineach group that will seek higher wages, falsify income, or forego application mightchangeif banks use new policies toapproveordenyloans, possibly counteracting fairintent.