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 Ethics02/2026
❯2.
LLM Moral Competence Evaluation02/2026
❯3.
Disaggregating LLM Moral Competence02/2026
❯4.
LLM Moral Competence Review (Extended)02/2026
❯5.
Representational Harms in AI Systems02/2026
❯6.
Deepfakes and Electoral Governance02/2026
❯7.
AI Welfare and Moral Status02/2026
❯8.
Metaphysics of LLM Hallucination02/2026
❯9.
AI and Transformation of Human Obligations02/2026
❯10.
AI Systems and Archival Record-Keeping02/2026
❯11.
LLM Sycophancy in Moral Judgment02/2026
❯12.
Faithfulness of LLM Reasoning Traces02/2026
❯13.
LLM Epistemology and Belief Attribution02/2026
❯14.
Decentralisation vs Centralisation in Computing02/2026
❯15.
Transformative AI Economic Impacts (Peer Reviewed)02/2026
❯16.
AI and Democratic Process Literature02/2026
❯17.
Private-Sector AI Governance Mechanisms02/2026
❯18.
Transformative AI Economic Impacts02/2026
❯19.
Formal Verification in AI Safety02/2026
❯20.
Formal Verification in AI Safety (Peer Reviewed)02/2026
❯21.
Social Preparedness Literature Review02/2026
❯22.
Normative Foundations of AI Governance02/2026
❯23.
Transformative AI and Abundance02/2026
❯24.
AI Democratic Deliberation Tools02/2026
❯25.
Verification and Validation in AI02/2026
❯26.
RLVR Across Diverse Domains02/2026
❯27.
Verifiable Rewards Beyond Math and Code02/2026
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ls searches/
❯1.
LLM Social Sycophancy and Moral Judgment03/2026
❯2.
Anthropic Pentagon Safety Contract Standoff02/2026
❯3.
AI and Democratic Process Enhancement02/2026
❯4.
Thinking Without a Thinker02/2026
❯5.
Out-of-Context Reasoning in LLMs02/2026
❯6.
Social Preparedness Search Results02/2026
❯7.
Extended Social Preparedness Summaries02/2026
❯8.
Attention Guardians Research Overview02/2026
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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
