The Disciplinary Language Transfer Problem: Full 37-Entry Operational Taxonomy (Supplementary Appendix)

This appendix supplements the paper "The Disciplinary Language Transfer Problem: How Psychological Vocabulary Produces Governance Failures in AI Agent Deployment," by Kymberly Lasser-Chere, Tyler Akidau, and Marc Millstone, to appear in the Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026). The paper argues that vocabulary borrowed from psychological and organizational science — learning, memory, values, compliance, identity, trust — carries an "invisible grammar" into AI governance discourse, calibrating governance frameworks to an entity that does not exist in current AI architectures. Its practical output is a translation taxonomy mapping that vocabulary onto agent-appropriate replacements. Supplementary material is not included in the AIES proceedings, so this appendix is distributed separately. It contains the complete thirty-seven-entry taxonomy, which the paper itself presents only in abridged form (its Tables 1 and 2): Level 2 — twenty-three psychological and organizational constructs currently used in governance discourse, organized into three categories (identity, character and relations; values, morality and compliance; cognition, knowing and epistemology). Each entry gives the term, its source framework, what it presupposes about the entity it describes, and the governance consequence of transferring it to AI agents. Level 3 — fourteen agent-appropriate replacement terms. Each entry gives the replacement, its operational definition, anticipated consequences and remediation, and the legacy constructs it supersedes. Level 1 — the six foundational epistemological assumptions — is analyzed in Section 3 of the paper rather than tabulated here. Section, table, and note references throughout this appendix refer to the paper, not to the appendix itself.