Image Credit: DallE When AI Tutors Fake Critical Thinking: From Cognitive Harm to Institutional Liability Ryan James Purdy, Purdy House Publishing and Consulting Timothy Cook, M.Ed., The Cognitive Privacy Project Working Paper | April 2026 Introduction Canvas and OpenAI want you to see the following conversation as the future of education. In promotional material shared by Leah Belsky, OpenAI’s VP of Education, a student engages with a “Keynes AI persona” about fiscal stimulu

Key Takeaways The natural impulse after Tumbler Ridge is to find a single point of failure. The harder truth is that multiple institutions, each making defensible decisions in isolation, compounded into catastrophe. OpenAI flagged the shooter's account eight months before the attack, banned it, and then watched her open a second one. Twelve employees recommended contacting Canadian police. Leadership overruled them. No Canadian law required otherwise. The RCMP had seized fire

The People Behind the Exclusion: Three Insurance Roles Rewriting Education's AI Rules Ryan James Purdy | Purdy House Publishing & Consulting Key Takeaways: Three roles inside the insurance industry, actuaries, lawyers, and underwriters, are becoming the most consequential decision-makers in education AI governance. Almost no one in education knows who they are. Exclusion language is not coming. It is here. Berkley, Hamilton Select, and Philadelphia Indemnity have already file

Key Takeaways The OECD's Due Diligence Guidance for Responsible AI, published January 26, 2026, lists "independent assessment processes" as one of the mechanisms for meaningful stakeholder engagement, but provides no definition, methodology, or criteria for who can conduct one or what the output looks like. Self-attestation, organizations assessing their own compliance, carries low evidentiary weight under adversarial scrutiny. Insurers, regulators, and litigation discovery r

Key Takeaways The OECD's January 2026 Due Diligence Guidance for Responsible AI explicitly identifies stakeholder engagement and remediation as where existing AI governance frameworks fall shortest. My own mapping of the guidance extends this to human oversight documentation, vendor supply chain management, risk assessment, and impact assessment, all areas where most educational institutions and EdTech vendors have no documentation at all. The guidance groups actors by their

Image Credit: Christopher Katsarov, The Canadian Press / Ana Luisa O.J Key Takeaways Every sector in Canada is adopting AI right now without a single enforceable federal rule to guide them. That is not a trust problem. It is a governance failure. The Minister's office has produced committees, consultations, and voluntary codes. None of these are law. None of them give any organization in the country a compliance floor to build on. Everyone knows Canada's eventual AI legislati

Key Takeaways: The 2026 International AI Safety Report identifies an "evidence dilemma" at the heart of AI governance. Education is living that dilemma right now. 95% of GenAI implementations are delivering zero return according to MIT NANDA research cited in the WEF's January 2026 paper. The cause is governance failure, not technology. Both reports independently conclude that governance infrastructure must exist before deployment, not after. Education has neither. "Complianc

Content note: This article discusses AI-enabled sexual abuse imagery involving minors (non-graphic). Key Takeaways UNICEF (February 2026) reports that across 11 countries, at least 1.2 million children reported their images being turned into sexually explicit deepfakes in the past year. The prevalence range across surveyed countries was 0.4% to 4.3%, with schools explicitly named as "frontline environments" for prevention and response. The exposure is not limited to the stude

I just published Memorandum No. 8 in the AI Governance in Education Series. It's called The Fractured Application of AI Governance: A Classification Failure Across Five Frameworks, and the Case for Holistic AI GRC. This one goes wider than education. The argument is straightforward: the phrase "AI governance" is being used across five major international frameworks to describe five fundamentally different things. ISO 42001 means a certifiable management system. NIST means a v

Key Takeaways: The World Bank identifies "Competency" as one of four essential AI foundations, but focuses on worker skills, not institutional governance capacity. The gap they're missing is who governs AI in education, not who uses it. 37% of teachers already use generative AI for work tasks according to OECD data, yet 45% of US high schools have no AI policy and no plans to develop one. Adoption is outpacing governance infrastructure. No education-specific, widely recognize

Key Takeaways: When prompted by a user, Grok admitted to generating CSAM (child sexual abuse material) and violating US law on December 31st, but no human executive at xAI ever signed their name to a statement, allowing the AI to absorb reputational damage while the company maintained legal insulation. xAI's "fix" was a paywall that applies to only one of four access points; the UK Prime Minister's office called it "insulting," and India deemed the company's response "generic

The Liability Squeeze and the Governance Response: How Documentation Becomes Leverage AI Governance in Education Series Memorandum No. 7 Ryan James Purdy Purdy House Publishing & Consulting January 2026 Working Paper Abstract Educational institutions face an emerging structural problem in AI adoption. Major technology vendors have structured their agreements to cap liability at nominal sums, while insurers are simultaneously excluding AI-related claims from standard coverage

Key Takeaways The Inter-American Development Bank identifies five enabling conditions for AI in education (devices, connectivity, platforms, teacher competencies, and governance) that must develop in parallel, not sequentially. Most education systems, including wealthy ones, are failing this test. AI applications require specific connectivity thresholds most schools do not meet: chatbots need minimum 5 Mbps with latency under 100 milliseconds; AI-driven video or voice tools r

Toward a Certification Framework for AI Governance in Education: Design Principles for a Sector-Appropriate Standard AI Governance in Education Series Memorandum No. 6 Ryan James Purdy Purdy House Publishing & Consulting February 2026 Working Paper Abstract The education sector lacks a widely recognized AI governance certification pathway. Healthcare has mature HIPAA compliance ecosystems: audits, attestations, and third-party programs that function as widely recognized evide

Key Takeaways *The EU AI Act sets a legal floor, not an operating system. Key obligations phase in from February 2025 through August 2026, with some extending into 2027. Parts of the implementation timeline are still moving targets. If your governance posture is "wait for guidance," you are choosing compliance lag by design. *Most "bias testing" claims are theater. NIST is blunt about the measurement problem: ground truth may not exist, metrics evolve, and organizations must

The Case for Independent AI Assurance in Education: From Self-Attestation to External Validation AI Governance in Education Series Memorandum No. 5 Ryan James Purdy Purdy House Publishing & Consulting January 2026 Working Paper 1 Abstract Self-attestation serves an essential function for internal improvement. Organizations cannot improve what they do not examine, and self-assessment frameworks provide the necessary structure for that examination. Yet external stakeholders req

Key Takeaways UNICEF's "Guidance on AI and Children 3.0" (December 2025) establishes the most comprehensive child-rights framework for AI governance yet published. Its ten requirements cover regulation, safety, privacy, fairness, transparency, supply chain accountability, wellbeing, inclusion, education, and foresight. The Stop-Gap AI Compliance Guide already satisfies the operational core of UNICEF's requirements: accountability structures, procurement controls, age-appropri

ISO/IEC 42001 and the Education Sector: A Critical Analysis Memorandum No. 4 Ryan James Purdy Purdy House Publishing and Consulting January 2026 Working Paper Abstract Educational institutions face a governance crisis: AI systems are embedded across admissions, assessment, tutoring, and administration, yet the majority lack policies governing their use. ISO/IEC 42001:2023, the first international AI management system standard, offers credible governance architecture—but its g

AI education risks repeating the prompt engineering mistake. Prompt engineering was briefly treated as a discipline, even a career path. Courses proliferated. Credentials followed. Then the interfaces improved, the models absorbed the complexity, and the entire category collapsed. Not because it was fake. Because it was brittle. It was anchored to tool mechanics rather than durable principles. The good news: AI literacy is moving in the right direction. Across education syste

The Translation Problem: Evidence Requirements and Stakeholder Variation in Educational AI Governance AI Governance in Education Series Memorandum No. 3 Ryan James Purdy Purdy House Publishing & Consulting December 2025 Working Paper Abstract Memorandum No. 1 documented the operational gap in AI governance frameworks for education: the absence of implementation infrastructure despite abundant principles and regulatory requirements. Memorandum No. 2 examined the forcing functi