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BMA: AI Strategy & Digital Transformation
Ethical AI and Strategic Foresight
Curriculum
1 Section
59 Lessons
30 hours
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Unit 4 — Ethical AI and Strategic Foresight
59
1.1
Balancing Specialization and Generalization
20 mins
1.2
The Challenge of Hesitation
20 mins
1.3
The Decision Point Stage: Timely Actions and Bankable Foresights
20 mins
1.4
AI’s Promise and Peril
20 mins
1.5
The New First Rule of Technology
20 mins
1.6
Work Transformation
20 mins
1.7
Half-Hearted Commitments
20 mins
1.8
The Beauty of Bankable Foresights
20 mins
1.9
Human-Centered AI along the Now-Next Continuum
20 mins
1.10
Universal Basic Meaning
20 mins
1.11
Cycle of Inquiry
20 mins
1.12
The Rippling Consequences of Failure
20 mins
1.13
Insights Inform Foresights
20 mins
1.14
Data Systems at Scale
20 mins
1.15
The Purposeful Role of Business Leadership
20 mins
1.16
Optimization and Integration
20 mins
1.17
Commit to Evolving
20 mins
1.18
Bonus Step: Using AI for Brainstorming
20 mins
1.19
Putting Privacy in Perspective
20 mins
1.20
Future Visioning
20 mins
1.21
Integration: The Bigger Picture
20 mins
1.22
The Clarifying Power of the Now-Next Continuum
20 mins
1.23
Circling Back
20 mins
1.24
Digital Twins and Deepfakes
20 mins
1.25
From Amsterdam to Your Organization
20 mins
1.26
Practical Steps for Leaders
20 mins
1.27
Decision Tool: Questions, Insights, Foresights, Adaptive Strategy
20 mins
1.28
Data, Insights, and Intuition
20 mins
1.29
Trusting AI to Know When AI Can’t Be Trusted
20 mins
1.30
Tech Humanist Leadership for Ethical Acceleration
20 mins
1.31
What Matters: Climate Action
20 mins
1.32
The Deceptive Duality of Data
20 mins
1.33
The Ethics of Personhood
20 mins
1.34
The Path to Purpose-Driven Growth
20 mins
1.35
What Matters: Sustainable Development Goals (SDGs)
20 mins
1.36
False Equivalencies: Correlation versus Causation
20 mins
1.37
Whack-a-Mole Regulations
20 mins
1.38
Ethical Acceleration in Practice
20 mins
1.39
Decision Tool: Reflective Checklist for Meaningful Innovation
20 mins
1.40
Cherry-Picking: Seeing What We Want to See
20 mins
1.41
Ahead of Regulations
20 mins
1.42
Navigating Setbacks
20 mins
1.43
Trustworthy Data
20 mins
1.44
The Climate Footprint of AI Systems
20 mins
1.45
Growth without Purpose
20 mins
1.46
Measure and Anticipate
20 mins
1.47
Now What? Now-Next
20 mins
1.48
Purpose, Principles, and Profit
20 mins
1.49
Ethical Decision-Making in an AI-Led World
20 mins
1.50
A Call to Action for Human-Friendly Tech Leadership
20 mins
1.51
Learning to See Tomorrow
20 mins
1.52
Balancing Optimization and User Needs
20 mins
1.53
Decision Tool: Harms Consideration Checklist
20 mins
1.54
What Matters/What Is Likely to Matter: Future-Readiness through Agility
20 mins
1.55
The Limits of AI Systems in Decision-Making
20 mins
1.56
Decision Tool: What’s Your “Gift for Tomorrow” Project?
20 mins
1.57
Implications across Sectors
20 mins
1.58
Note
20 mins
1.59
Decision Tool: Building to Bankable Foresights
20 mins
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