Gov/en/Portal:Meta/AI-Deviation-Risks: Difference between revisions
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{{ExpertIntro|We are heading towards a paradigm where AI deviation risks stem primarily from political rather than technical failures. This hypothesis proposes that transparent, participatory resource governance—eliminating value extraction, ensuring auditable algorithms, and cultivating solidarity-based decision-making—can reduce the logical justification for algorithmic control. The emerging trend suggests that distributed commons models may constitute empirical proof of human self-regulation capacity.}} | |||
{{KidsIntro|AI can become dangerous if humans manage the world unfairly. WikiDeal shows a fairer way to share resources — which helps reduce the risk of AI taking over to 'fix' our mistakes.}} | {{KidsIntro|AI can become dangerous if humans manage the world unfairly. WikiDeal shows a fairer way to share resources — which helps reduce the risk of AI taking over to 'fix' our mistakes.}} | ||