Governance · Concept
Sociotechnical Outcome Taxonomies (SOT) for AI Risk
Interview study finds AI risk taxonomies weakly integrated into governance and often hide design choices and accountability links.
Forecast horizon
Connections
Connections · 4
How this node ties into the rest of the map, and the evidence behind each link.
to · informs 4/10
EU AI Act Weak practical integration of risk taxonomies matters for regulators who need actionable structured risk accounts under regimes like the AI Act.
+4 growth to · informs 4/10
Open Problems in AI Incident Governance Empirical SOT study explains weak taxonomy uptake via invisible design choices and missing accountability links.
+4 growth from · informs 3/10
Ecosystem Reframing of Generative AI Watermarks Watermark-as-ecosystem governance is one concrete oversight instrument within broader AI risk classification debates.
+3 growth from · supports 3/10
Six-Dimensional Taxonomy of Post-Training Adaptation A shared vocabulary for how models are adapted can make downstream risk taxonomies more decision-relevant and auditable.
+3 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
EU AI Act timeline Aug 2025
EU AI Act obligations for general-purpose AI models applied from 2 Aug 2025; high-risk obligations under Annex III apply from 2 Aug 2026.
EU AI Act — implementation tracker → First binding treaty May 2026
The Council of Europe Framework Convention on AI — the first legally binding international AI treaty — opened for signature in Sep 2024; the EU ratified it on 15 May 2026.
Council of Europe → UN scientific panel Aug 2025
On 26 Aug 2025 the UN General Assembly created an Independent International Scientific Panel on AI (40 experts) and a Global Dialogue on AI Governance.
United Nations →