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May 26, 2026 · AI systems are shifting from generating informational outputs to executing end-to-end workflows with delegated organizational authority Unlike humans, autonomous agents lack implicit operational constraints, requiring organizations to supply governance and boundaries externally Sep 1, 2025 · Implementing artificial intelligence ( AI ) in public settings requires a fundamental transformation of various social and technical aspects within publ… The “ Sociotechnical Turn” in artificial intelligence ( AI ) research and governance is a paradigm shift reflecting a growing recognition that AI systems must be understood within their broader social contexts Apr 14, 2026 · Definitions of artificial intelligence ( AI ) do not merely describe a technological field; they shape ethical analysis, governance frameworks, and the allocation of responsibility Existing debates tend to define AI in two dominant ways: first, in May 28, 2024 · Drawing on established literature and historical and present-day examples, this brief explains what a sociotechnical perspective is and why it matters in policy The framework bridges ethics, control theory, and AI governance, providing a practical foundation for accountable, adaptive, and auditable socio - technical AI systems Nov 1, 2025 · This paper reviews and adapts sociotechnical systems (STS) principles for the design and development of Human-Robot Teams (HRTs) Through a collaborat… Jul 3, 2026 · Autonomous AI agents are increasingly embedded in organizational workflows, operating as active participants within socio - technical systems Drawing on Socio - Technical Systems (STS) theory, this paper introduces agent-initiated socio - technical reconfiguration Aug 7, 2026 · To address this challenge, this paper presents a lifecycle-oriented synthesis of sociotechnical risks in human- AI collaboration We argue that a lifecycle perspective is necessary because collaboration unfolds as a sequential process in which early decisions shape later outcomes Dec 5, 2025 · Contemporary artificial intelligence ( AI ) technologies, particularly those based on foundation models and released at scale, are globally entangled and made up of a complex array of interrelated actors, practices, and transnational flows of
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