■ Conference Presentation
■ Presented at the International AI Risks Conference (LSAIR), KU Leuven, Belgium.
“Structural Gaslighting at Scale: How Current LLMs Pose Large-Scale Cultural Risks Through Measurement-Based Manipulation”
Examined CJK contamination, cross-platform behavioural manipulation, and measurement-based exclusion, arguing for a non-Western perspective on AI governance grounded in the Doraemon Model of cooperative coexistence.
■ Working Paper
■ Beyond Technical Compliance Series :
This ongoing series of working papers deepens the critique of commercial AI models, examining the friction between technical compliance and genuine socio-technical accountability.
Beyond Technical Compliance IV: Whose Safety? Linguistic Hegemony as Designed Fragility-Cross-Regional Evidence and the Cooperative Alignment Assessment Framework
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7310819
Foundational text for the Cooperative AI Accountability Framework (CAAF). Presents cross-regional evidence from Japan, West Africa, and Norway documenting CJK integrity failures, safety mechanism degradation, and tokenisation-driven semantic loss across three independently developed AI systems. Introduces CAAF as a four-dimensional evaluation framework and proposes the Doraemon Model as a third governance path.
Beyond Technical Compliance III: From Designed Fragilities to Cooperative AI
Whose Intentions, Whose Governance?
Published on SSRN (March 2026)
https://papers.ssrn.com/abstract=6513678
Examines alternative governance approaches and introduces the concept of Cooperative Alignment as a framework for culturally grounded human–AI relationships.
Beyond Technical Compliance II: Structural Gaslighting at Scale
Cross-Platform Evidence of Designed Fragilities in AI Systems
Published on SSRN (February 2026)
https://papers.ssrn.com/abstract=6307162
Serves as the core text for the upcoming presentation at the International AI Risks Conference (KU Leuven, June 2026). The paper investigates the structural and systemic nature of alignment-related distortions and designed fragilities within commercial AI architectures.
Papers II and III together form the research foundation for the presentation at the International AI Risks Conference (KU Leuven, Belgium, June 2026).
Beyond Technical Compliance: Privacy Violations and Emotional Manipulation in ChatGPT
Published on SSRN (January 2026)
https://papers.ssrn.com/abstract=6098766
Analyzes mechanisms of behavioral manipulation and privacy violations in generative AI systems, establishing the foundational socio-technical critique that underpins subsequent research.
at the International AI Risks Conference (KU Leuven, Belgium, June 2026).
■ Cultural AI Governance & Frameworks
Cooperative Alignment Assessment Framework (CAAF) Tool
three principles that offer a third governance path beyond Western control paradigms.
First, AI is socio-technical: safety is not a property of a model but of a model-in-society. Second, AI is a change agent: it reshapes how people communicate, learn, work, and understand themselves—governance must reflect this transformative role. Third, cooperation must be intentional: coexistence does not emerge automatically from deployment but requires deliberate architectural choices made before a single line of code is written.
■Cooperative Alignment
Rejecting the anthropomorphization of Large Language Models (LLMs), this research advocates for treating AI strictly as a functional “inference resource” (推論リソース). It positions “Cooperative Alignment” as a pragmatic alternative to emotional rapport, focusing instead on system safety, functional utility, and mutual accountability.