Course curriculum

    1. Segment 00: Welcome to the Course: Course Overview

    2. Segment 01: Introduction to the Course

    3. Segment 02: Module Introduction

    4. Segment 03: The Strategist vs the Technician

    5. Segment 04: System One and System Two at Work

    6. Segment 05: The Decision Quality Crisis

    1. Segment 06: Cognitive Bias and the AI Mirror

    2. Segment 07: Dataset and Model Bias

    3. Segment 08: Bias Stack in Action: The Amazon Hiring Case

    1. Segment 09: The Five Trust Score Criteria

    2. Segment 10: Scoring an AI Summary: The Board Pre-Read

    3. Segment 11: Hallucinations and the Mata v. Avianca Case

    4. Segment 12: Reading: Amazon Ditched AI Recruitment Software Because it was Biased Against Women

    5. Segment 13: Hands-On-Lab: Diagnostic lab: Bias Stack, Trust Score, and Citation Audit

    6. Segment 14: Quiz: The Trust Score and Spotting Errors

    1. Segment 15: Module Introduction

    2. Segment 16: Premortem and Red-Team Thinking

    3. Segment 17: Base Rates and Calibration

    4. Segment 18: Frameworks in a Financial Projection Scenario

    1. Segment 19: Draft-and-Verify and Adversarial Review

    2. Segment 20: Premortem-with-AI and Decision Audit

    3. Segment 21: Prompt Risk Review and the Moffatt v. Air Canada Case

    1. Segment 22: The Decision Journal and the Defensible Memo

    2. Segment 23: Capstone Walk-Through: From Course to Operating Habit

    3. Segment 24: The Thirty-Day Practice Plan

    4. Segment 25: Reading: Before You Make That Big Decision (Harvard Business Review, Kahneman, Lovallo, and Sibony)

    5. Segment 26: Hands-On-Lab: Capstone Decision Memo with Prompt Risk Review

    6. Segment 27: Quiz: Decide and Defend: The Capstone

    7. Segment 28: Course Wrap-Up

    8. Segment 29: Project: Human Judgment in the AI Era: Decision Memo Challenge

About this course

  • Free
  • 30 lessons
  • 2 hours of video content

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