Decision rooted in conscience not hostility towards judiciary: Sisodia after refusal to attend HC proceedings in excise case (LD) #Decision #Sisodia #HC #LD #socialnewsxyz

https://www.socialnews.xyz/2026/04/28/decision-rooted-in-conscience-not-hostility-towards-judiciary-sisodia-after-refusal-to-attend-hc-proceedings-in-excise-case-ld/

If more than 50% press blue, everyone survives. Red pressers always survive

https://shankwiler.com/posts/button-survival-hypothetical/

#HackerNews #button #survival #hypothetical #decision #making #game #theory #survival #strategy

AI agents that argue with each other to improve decisions

https://github.com/rockcat/HATS

#HackerNews #AI #agents #debate #decision-making #AI #collaboration #decision #improvement #machine #learning

Governing Generative AI: Epistemic Risks in Knowledge Production and Decision Making

<https://www.sciencedirect.com/special-issue/332909/governing-generative-ai-epistemic-risks-in-knowledge-production-and-decision-making>

Submission open date: 1st July 2026

Submission deadline: 31st December 2026

All manuscripts should be original and not under review elsewhere. Submissions will be peer-reviewed in accordance with Technological Forecasting and Social Change's standard policies.

＂Generative Artificial Intelligence (AI) is not just a technological capability, it is also a socio-technical governance challenge that demands systemic inquiry. This Special Issue shifts attention from generative AI as a standalone tool or application to generative AI as an epistemic technology that reshapes knowledge production, decision-making, and coordination across organizational, market, and public-sector settings. By bringing together perspectives from technological forecasting, innovation studies, organizational research, and socio-technical systems theory, this Special Issue aims to explore how epistemic risks emerge and propagate within complex systems, and how overreliance on AI-generated outputs, manifesting as automation bias, deskilling, and the erosion of human judgement and oversight, can amplify these risks in knowledge and decision process, and how governance mechanisms can be designed to anticipate, manage, and mitigate their long-term societal consequences. Contributions will advance theory and provide forward-looking insights for scholars, policymakers, and practitioners concerned with governing generative AI in an increasingly uncertain and algorithmically mediated future.

…＂

#governance #knowledge #risk #decision #generative #AI