Bibliographic record
Abstract
AI governance is an area of research and practice which seeks to understand and control “the institutions and contexts in which AI is built and used” (Dafoe, 2018, p. 5). Despite the importance of institutions to AI governance, the influence that institutional dynamics play in the development of systems and strategies of AI governance has not yet been rigorously studied. Moreover, the cognitive ecology and evolutionary potential associated with AI practices are crucial aspects of AI governance systems, yet those factors have largely gone unconsidered in the research and practice of AI governance to date. This project attempts to bridge those gaps in research and practice through a four-phase research process involving a comparative analysis of AI governance strategies, a review and synthesis of the AI governance literature, the development of an ontology of AI governance systems, and an in-depth case study of an AI governance system. La gouvernance de l'IA est un domaine de recherche et de pratique qui cherche à comprendre et à contrôler «les institutions et les contextes dans lesquels l'IA est construite et utilisée» (Dafoe, 2018, p. 5, notre trad.). Malgré l'importance des institutions pour la gouvernance de l'IA, l'influence de la dynamique institutionnelle sur le développement des systèmes et des stratégies de gouvernance de l'IA n'a pas encore été rigoureusement étudiée. De plus, l'écologie cognitive et le potentiel évolutif associés aux pratiques de l'IA sont des aspects cruciaux des systèmes de gouvernance de l'IA, mais ces facteurs ont été largement ignorés dans la recherche et la pratique de la gouvernance de l'IA à ce jour. Ce projet tente de combler ces lacunes dans la recherche et la pratique grâce à un processus de recherche en quatre phases impliquant une analyse comparative des stratégies de gouvernance de l'IA, un examen et une synthèse de la littérature sur la gouvernance de l'IA, le développement d'une ontologie des systèmes de gouvernance de l'IA, et une étude de cas approfondie d'un système de gouvernance de l'IA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.018 |
| Science and technology studies | 0.023 | 0.021 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".