SOURCE BACKBONE
VS006 uses a selected source backbone: human factors, automation bias, work-systems history, accountability, contestability, incident recovery, and AI governance references supporting the issue’s claims and applied tools.
- Bainbridge, “Ironies of Automation” — Human oversight can degrade when work becomes passive monitoring of automated systems.
- Endsley, situation awareness research — Meaningful review depends on visibility, time, context, and authority.
- Parasuraman & Riley, automation use / misuse / disuse / abuse — Automation changes human reliance patterns rather than merely reducing work.
- Braverman, Labor and Monopoly Capital — Work systems can separate execution from judgment and preserve ceremony after control moves elsewhere.
- Noble, Forces of Production — Automation is also organizational power, not only technical improvement.
- Lipsky, Street-Level Bureaucracy — Administrative systems allocate discretion, recourse, and consequence through workflow design.
- Suchman, Plans and Situated Actions — Plans and diagrams are not equivalent to situated human action.
- Perrow, Normal Accidents — Complex systems can produce failures that are difficult to foresee or isolate.
- NIST AI Risk Management Framework — AI governance requires mapping, measurement, management, and accountability.
- NIST incident response / recovery guidance — Repair requires verified remediation, closure, and recovery rather than symbolic acknowledgment.
- EU AI Act / OECD AI principles / ISO AI management standards — Governance terrain supports transparency, accountability, contestability, and oversight obligations.
- Human-machine interaction and trust calibration research — Interface signals can change operator confidence, reliance, and interpretation of failure.
SUGGESTED READING: BOOKS
A compact route into the broader book terrain supporting DFEI. Entries may support VS006 directly or sit in the wider operating library.
- Emerging Intelligence — intelligence, sentience, cognition, model capability, and infrastructure.
- Human–Machine Interaction — interface behavior, trust, dependence, conversational systems, and social repair.
- Agents, Access, and Continuity — agent workflows, memory, context, orchestration, and evaluation.
- Trust, Repair, and Reliance — reliability, breakdown, apology, repair, and operator reliance.
- Governance, Power, and Institutional Risk — institutions, platform power, surveillance, militarization, and policy risk.
- Security, Influence, and Manipulation — exploit surfaces, persuasion, social engineering, cyber-AI convergence, and adversarial misuse.
- Culture, Philosophy, and Society — meaning, religion, society, labor, agency, and the cultural imagination around AI.
- Tools, Terrain, and Method — building, evaluating, and operating AI systems.