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References and Selected Resources
I. Scientific and Professional References
[1] National Institute of Standards and Technology. (2023). Artificial Intelligence Risk
Management Framework (AI RMF 1.0). NIST AI 100-1
[2] National Institute of Standards and Technology. (2024). Artificial Intelligence Risk
Management Framework: Generative Artificial Intelligence Profile. NIST AI 600-1
[3] National Institute of Standards and Technology. NIST Privacy Framework 1.0, and Privacy
Framework 1.1 Initial Public Draft
[4] National Institute of Standards and Technology. (2010). Guide to Protecting the
Confidentiality of Personally Identifiable Information (PII). SP 800-122
[5] OWASP Gen AI Security Project. (2025). OWASP Top 10 for LLM Applications
[6] OWASP Gen AI Security Project. LLM risk archive and current LLM risk resources
[7] UNESCO. (2023). Guidance for Generative AI in Education and Research
[8] Caulfield, M. SIFT: The Four Moves
[9] Wineburg, S., & McGrew, S. (2017/2019). Lateral Reading and the Nature of Expertise.
Stanford History Education Group; Teachers College Record
[10] National Institute of Standards and Technology. (2022). Towards a Standard for
Identifying and Managing Bias in Artificial Intelligence. NIST SP 1270
[11] Federal Trade Commission. (2024). Fighting Back Against Harmful Voice Cloning
[12] Federal Trade Commission. (2023). Scammers Use AI to Enhance Their Family
Emergency Schemes
[13] Coalition for Content Provenance and Authenticity. C2PA and Content Credentials
Explainer
[14] World Health Organization. (2021). Ethics and Governance of Artificial Intelligence for
Health
[15] World Health Organization. (2024). Ethics and Governance of Artificial Intelligence for
Health: Guidance on Large Multi-Modal Models
[16] National Institute of Standards and Technology. (2021). Four Principles of Explainable
Artificial Intelligence. NISTIR 8312
[17] Digital Inquiry Group, Stanford. Civic Online Reasoning and lateral reading resources
[18] The Guardian. (2024). UK engineering firm Arup falls victim to deepfake scam
[19] World Economic Forum. (2025). Cybercrime: lessons learned from a 25 million dollar
deepfake attack
[20] OWASP Gen AI Security Project. (2026). OWASP Top 10 for Agentic Applications
[21] Coalition for Content Provenance and Authenticity. (2026). C2PA Technical Specification
2.4
II. Educational Video Resources
[22] National Institute of Standards and Technology. (2023). Introduction to the NIST AI Risk
Management Framework (AI RMF 1.0): An Explainer Video [Video].
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