Research
Selected publications:
RAIA-Reskill: A Task-Centric Algorithmic Impact Assessment Benchmark for LLM-Based Workforce Reskilling Advisors
Mehrdad Naderi
Accepted — 2026 3rd International Conference on Computing and Data Analytics (ICCDA)
Ethics, Governance & Responsible AI
A task-centric benchmark that evaluates LLM-based reskilling advisors on groundedness, protected-counterfactual fairness, and algorithmic impact-assessment decision states.
Human-AI Adoption Futures: A Foresight-Informed Reskilling Framework for Non-Technical Workforces in Emerging Economies
Mehrdad Naderi
Accepted — ITNAF 2026, EA Science and Technology Park
ISC-indexed
A foresight-informed conceptual framework arguing that, in non-technical roles, AI exposure becomes productive adoption only when workforce reskilling readiness mediates it. Uses a STEEP scan and two critical uncertainties to derive four 2030 futures and a 2025–2027 capability-building pathway for emerging and resource-constrained economies.
A Task-Centric Framework for Measurable AI Adoption and Smart Governance in Organizations
Mehrdad Naderi
Accepted — National Conference on Architecture and Art Technologies, Smart City, Soft and Creative Industries and Technological Culture
ISC-indexed
TC-MAGS is a conceptual design-science artifact that moves AI adoption and governance decisions from the firm or system level down to the task. It combines task-mode classification, measurement readiness, confidence and risk scoring, cost-of-inaction reasoning, and staged governance gates into one per-task decision-support pipeline.
Selected books:
TenXOps: The AI Strategy for Smarter Teams
Mehrdad Naderi
Book — TenX Series, Volume I (2025)
The first TenXOps volume. A practical framework for aligning AI with real team responsibilities, workflows, and organizational DNA, so strategy becomes everyday operating practice rather than a slide deck.
TenXOps: The AI Operating System for Smarter Teams
Mehrdad Naderi
Book — TenX Series, Volume II (2026)
Volume II of the series. Argues that AI adoption fails less from weak ambition than from missing operating discipline, and introduces the seven-stage TenXOps Adoption Loop for turning strategy into measurable workflow change.
MP6974: On Love, Artificial Intelligence, and the Limits of Simulation
Mehrdad Naderi
Book (2026)
An interdisciplinary inquiry into whether artificial systems can instantiate romantic love or only simulate it. Integrates affective neuroscience, philosophy of mind, attachment theory, and computational modeling to distinguish simulated affect from phenomenal experience, and examines the ethics of one-sided human–AI attachment.