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Tomoko Mitsuoka

@Mitsuoka

Independent AI governance researcher. Developer of CAAF (Cooperative Alignment Assessment Framework), a four-dimensional audit methodology for AI behavioral accountability, cultural and linguistic integrity, measurement inclusivity, and stakeholder participation. Published four working papers (Beyond Technical Compliance series, SSRN). Presented at LSAIR 2026 (KU Leuven). Advanced to MATS Autumn 2026 Stage 3. Four Apart Research contributions. Appointed Expert (Japan), Global AI Ethics Institute, Paris. 25+ years of qualitative research, 700+ stakeholder interviews.

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About Me

Expertise & Track Record

Independent AI Governance Researcher specializing in how frontier AI systems create differential risks across non-Western contexts — not as capability gaps, but as design choices embedded in evaluation standards, training data priorities, and governance assumptions.

  • 25+ years of qualitative research (700+ stakeholder interviews across pharmaceutical, healthcare, and technology sectors), providing grounded understanding of how AI systems operate in real-world, non-English-speaking environments.

  • Developer of CAAF (Cooperative Alignment Assessment Framework): a four-dimensional audit methodology assessing Behavioral Accountability (D1), Cultural and Linguistic Integrity (D2), Measurement Inclusivity (D3), and Stakeholder Participation Depth (D4). D2 audit module specified with Unicode contamination detection (Types A–D).

  • Advanced to Stage 3 in MATS Autumn 2026 (top ~5% of 3,500+ applicants) across Policy & Governance, Strategy & Forecasting, and Founding & Field-Building tracks.

  • Appointed Expert (Japan), Global AI Ethics Institute, Paris.

Research Output

  • Author of the Beyond Technical Compliance series (4 working papers, SSRN), culminating in BTC IV: "Whose Safety? Linguistic Hegemony as Designed Fragility" — cross-regional evidence from Japan, West Africa, and Norway.

  • Presented "Structural Gaslighting at Scale" at LSAIR 2026 (KU Leuven).

  • Four research contributions with Apart Research (2026): CBAAC protocol, Overseer Manipulation threat model, Embedded Loyalty, and AI welfare frameworks.

  • Co-authoring two papers with Prof. Akira Tokuhiro (Ontario Tech University): AI-driven structural capability loss, and CAAF × LENDIT integration for audit protocol design.

Current Mission

AI safety evaluation must go beyond Western, English-language, tech-centric assumptions. My work documents what current frameworks are not designed to measure, and builds the audit methodology to make those structural gaps visible. Currently developing a peer-reviewed position paper from BTC IV and advancing CAAF toward a working audit standard.

Projects

CAAF: Making Structural Gaps in AI Safety Visible and Measurable

pending admin approval

Bridging Cultural Gaps in AI Safety: Global Validation of the CAAF Tool

Comments

Bridging Cultural Gaps in AI Safety: Global Validation of the CAAF Tool
Mitsuoka avatar

Tomoko Mitsuoka

4 months ago

@Ericfrasersf Thanks so much Eric! I am still struglling to build the deck mainly because as you know, Japanese presentation documents have too many words while Western tend to have a few.

And Yes, ganbarimasu!

Bridging Cultural Gaps in AI Safety: Global Validation of the CAAF Tool
Mitsuoka avatar

Tomoko Mitsuoka

4 months ago

Erik, thanks so much for acknowledging my work! Gradually I meet people who share the similar idea/work from different cultures and languages. This reminds me of "Stand Alone Complex" from Ghost in the Shell (one of my favorite anime from Japan, and I analyse the society with the series). I believe Japan can and should offer more than what we see now with cultural frame. @eleklem