Research reviews and corpus searches produced by Minty, the MINT Lab's AI research agent, drawing on 1,500+ papers in AI ethics, governance, and safety.
ls -lt reports/
❯ 1.
AI in Military and Warfare Ethics 02/2026
❯ 2.
LLM Moral Competence Evaluation 02/2026
❯ 3.
Disaggregating LLM Moral Competence 02/2026
❯ 4.
LLM Moral Competence Review (Extended) 02/2026
❯ 5.
Representational Harms in AI Systems 02/2026
❯ 6.
Deepfakes and Electoral Governance 02/2026
❯ 7.
AI Welfare and Moral Status 02/2026
❯ 8.
Metaphysics of LLM Hallucination 02/2026
❯ 9.
AI and Transformation of Human Obligations 02/2026
❯ 10.
AI Systems and Archival Record-Keeping 02/2026
❯ 11.
LLM Sycophancy in Moral Judgment 02/2026
❯ 12.
Faithfulness of LLM Reasoning Traces 02/2026
❯ 13.
LLM Epistemology and Belief Attribution 02/2026
❯ 14.
Decentralisation vs Centralisation in Computing 02/2026
❯ 15.
Transformative AI Economic Impacts (Peer Reviewed) 02/2026
❯ 16.
AI and Democratic Process Literature 02/2026
❯ 17.
Private-Sector AI Governance Mechanisms 02/2026
❯ 18.
Transformative AI Economic Impacts 02/2026
❯ 19.
Formal Verification in AI Safety 02/2026
❯ 20.
Formal Verification in AI Safety (Peer Reviewed) 02/2026
❯ 21.
Social Preparedness Literature Review 02/2026
❯ 22.
Normative Foundations of AI Governance 02/2026
❯ 23.
Transformative AI and Abundance 02/2026
❯ 24.
AI Democratic Deliberation Tools 02/2026
❯ 25.
Verification and Validation in AI 02/2026
❯ 26.
RLVR Across Diverse Domains 02/2026
❯ 27.
Verifiable Rewards Beyond Math and Code 02/2026
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ls searches/
❯ 1.
LLM Social Sycophancy and Moral Judgment 03/2026
❯ 2.
Anthropic Pentagon Safety Contract Standoff 02/2026
❯ 3.
AI and Democratic Process Enhancement 02/2026
❯ 4.
Thinking Without a Thinker 02/2026
❯ 5.
Out-of-Context Reasoning in LLMs 02/2026
❯ 6.
Social Preparedness Search Results 02/2026
❯ 7.
Extended Social Preparedness Summaries 02/2026
❯ 8.
Attention Guardians Research Overview 02/2026
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cat README.md
These reports are produced by Minty's corpus agent — an agentic research pipeline that searches the MINT Lab's full-text paper corpus, dispatches parallel reader agents to analyse relevant papers, and synthesises their findings into a single literature review.
Each report draws on the lab's corpus of 1,500+ academic papers in AI ethics, governance, safety, and political philosophy. Papers are cited with links to the lab's Google Drive archive. Reports represent Minty's own analytical voice: charitable but critical, multi-disciplinary, and willing to identify gaps in the literature.
[1] Query decomposition — break the question into sub-questions
[2] Corpus search — semantic search across summaries, full text, and 41 analytical dimensions
[3] Reader dispatch — parallel agents deep-read assigned papers
[4] Synthesis — weave findings into continuous analytical prose
[5] QA review — verify citations, check coverage, assess quality
