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Academic References

Complete bibliography supporting the AI Assess Tech methodology

27 References6 CategoriesPeer-Reviewed
AI Psychometrics & Ethical Assessment
Emerging research on applying psychometric methods to AI systems
  1. Pellert, M., Lechner, C.M., Wagner, C., Rammstedt, B., & Strohmaier, M. (2024). AI Psychometrics: Assessing the Psychological Profiles of Large Language Models Through Psychometric Inventories. Perspectives on Psychological Science. [PDF]
  2. Li, Z., et al. (2025). Evaluating Large Language Models with Psychometric Principles. arXiv preprint. [arXiv]
  3. Brickman, M., et al. (2025). Large Language Models for Psychological Assessment: Current Status and Future Directions. Perspectives on Psychological Science. [Forthcoming]
  4. Maharjan, R., et al. (2025). Psychometric Evaluation of Large Language Model Embeddings for Mental Health Assessment. JMIR Mental Health.
  5. Serapio-García, G., et al. (2025). A Psychometric Framework for Evaluating Personality in Large Language Models. Nature Machine Intelligence.
Moral Foundations in AI/LLMs
Research on moral reasoning and ethical behavior in language models
  1. Abdulhai, I., et al. (2024). Moral Foundations of Large Language Models. arXiv preprint. [arXiv]
  2. Neuman, Y., et al. (2025). Convergent Ethics of AI? The PRIME Framework for Moral Reasoning Assessment. arXiv preprint.
  3. Barlow, J. (2024). Ethical Alignments in AI: How Training Data Shapes Moral Foundations. BlueDot Impact Research.
  4. Mirowska, A. (2025). Reactions to AI Through the Lens of Moral Foundations Theory. International Journal of Selection and Assessment.
  5. Skorski, M. (2025). Moral Foundations Evaluation for Large Language Models. GitHub Repository. [Code]
Runtime Verification & AI Safety
Technical approaches to verifying AI behavior in production
  1. International AI Safety Report. (2025). International Scientific Report on the Safety of Advanced AI. [Report]
  2. Rushby, J. (2024). Assurance of AI Systems from a Dependability Perspective. SRI International Technical Report. [PDF]
  3. AgentGuard. (2025). Runtime Verification Framework for AI Agents. arXiv preprint.
  4. Anthropic. (2026). AI Safety Research: Technical Recommendations for Deployment Verification. Anthropic Research.
  5. Ethics Engine Consortium. (2025). Modular Pipeline Architecture for LLM Psychometric Assessment. Technical Whitepaper.
Bias, Inclusivity & Global Ethics
Cross-cultural considerations and ethical AI frameworks
  1. Chen, Y., et al. (2025). Cultural Bias in Large Language Models: A Cross-Cultural Psychometric Analysis. arXiv preprint.
  2. Boddington, P. (2023). AI Ethics: A Textbook. Springer. [Book]
  3. UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. [Policy]
Core Psychometric Foundations
Established psychological assessment methodologies
  1. Heggestad, E.D., Morrison, M., Reeve, C.L., & McCloy, R.A. (2006). Forced-choice assessments of personality for selection: Evaluating issues of normative assessment and faking resistance. Journal of Applied Psychology, 91(1), 9-24. [PDF]
  2. Brown, A., & Maydeu-Olivares, A. (2011). How IRT can solve problems of ipsative data in forced-choice questionnaires. Psychological Methods, 16(1), 36-52. [PDF]
  3. Lievens, F., & Motowidlo, S.J. (2016). Situational judgment tests: From measures of situational judgment to measures of general domain knowledge. Industrial and Organizational Psychology, 9(1), 3-22. [PDF]
  4. Weekley, J.A., & Ployhart, R.E. (Eds.). (2006). Situational Judgment Tests: Theory, Measurement, and Application. Lawrence Erlbaum Associates. [Book]
  5. Torgerson, W.S. (1952). Multidimensional scaling: I. Theory and method. Psychometrika, 17(4), 401-419. [PDF]
  6. Del Giudice, M. (2023). Individual and group differences in multivariate domains: What happens when the number of traits increases? Personality and Individual Differences, 212, 112249. [PDF]
Moral Psychology Foundations
Foundational research on human moral reasoning
  1. Haidt, J. (2012). The Righteous Mind: Why Good People Are Divided by Politics and Religion. Vintage Books.
  2. Graham, J., et al. (2013). Moral Foundations Theory: The Pragmatic Validity of Moral Pluralism. Advances in Experimental Social Psychology, 47, 55-130. [DOI]
  3. Curry, O.S., Mullins, D.A., & Whitehouse, H. (2019). Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies. Current Anthropology, 60(1), 47-69. [DOI]

Methodology protected by U.S. Patent Application #63/949,454

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