Develop six structurally new principal-side competencies for agentic AI contexts¶

Strategy · All strategies
Evidence · 1 claim (1 against) · 1 study (1 theoretical), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The paper proposes that the transition from generative to agentic AI demands new principal-side competencies in "delegation (understanding what authority one is granting)", oversight, accountability attribution, attack surface awareness, agent-specific informed consent, and calibrated trust. It argues these are not refinements of existing AI literacy but structurally new competencies for a structurally new paradigm, with full specification deferred to a companion paper.

Design Implications¶

Context¶

Requirements¶

• Literacy must evolve alongside governance, system design, and regulatory oversight; education alone cannot resolve agentic AI risks.

Constraints¶

• Full specification, including proficiency levels and design imperatives, is the subject of a companion paper and not given here.

Target Learners¶

• users who delegate authority to autonomous AI agents

Target Learning Goals¶

• delegation, oversight, accountability attribution, attack surface awareness, agent-specific informed consent, calibrated trust

Claims¶

• Prompt injection attacks on agents (OpenClaw walletdrain, EchoLeak) bypass the user entirely, and no public AI literacy curriculum addresses this vector [-W]

Related Strategies¶

Examples¶

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Key Sources¶

• Nama, R. (2026). Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named. Author's accepted manuscript, AI and Ethics (Springer Nature). https://arxiv.org/abs/2605.27396. doi:10.48550/arxiv.2605.27396