AI-Epistemic Resilience ← Access to Robotics

Self-paced · 8 modules · approx. 15–20 min each

AI-Epistemic Resilience

How to think clearly, verify well, and stay in control of your own judgment in a world where machines generate information at scale.

Generative AI can produce fluent, confident answers in seconds. Sometimes those answers are wrong, misleading, or entirely fabricated, and the polish is exactly what makes the errors hard to catch. This course builds the habits that keep your thinking steady in that environment. It is not about rejecting AI, and not about trusting it. It is about knowing when and how to verify.

The skills here are not specific to any one field. They matter anywhere people rely on AI-generated information to make decisions that carry weight.

Educators Healthcare professionals Legal professionals Researchers Anyone responsible for AI use at work
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What you will learn

The course is built on a single framework: four interdependent regulatory elements that work together as a dynamic system rather than a checklist. You will learn to recognize them, practice them, and apply them across education, professional, and civic settings.

Verification PracticesChecking claims against reliable sources.
Epistemic HumilityRecognizing the limits of human and machine judgment.
Adaptive ReasoningAdjusting when evidence shifts or conflicts.
Metacognitive MonitoringWatching how AI shapes your own thinking.

Course contents

How the course works

Each module includes a short reading, a reflective activity, and a knowledge check. Move through them at your own pace using the navigation at the bottom of each page. Reflective activities are for your own thinking and are not graded. A final assessment and completion certificate will be added once the modules are complete.

This course is created and offered by Dr. Reginald V. Finley as an individual, drawing on his book AI-Epistemic Resilience: A Framework for Knowledge Integrity in the Age of Artificial Intelligence (2026). It is hosted through Access to Robotics, whose mission of helping learners understand how machines reason is closely connected to the aims of this course. The course is a separate offering from the organization itself.
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