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What Matters Next
Making Human-Friendly Tech Decisions
Curriculum
4 Sections
152 Lessons
Lifetime
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CHAPTER 3: Future-Ready Decision-Making at Scale
41
1.1
Deciding, Fast and Slow
10 mins
1.2
Slow Down to Speed Up
10 mins
1.3
From Quick Fixes to Insight-Driven Strategies
10 mins
1.4
Deciding to Decide Better
10 mins
1.5
Guiding Future-Ready Decision-Making with the Insights-Foresights Model
10 mins
1.6
The Inquiry Stage: Meaningful Framing Questions
10 mins
1.7
The Power of Meaningful Questions
10 mins
1.8
I Don’t Know
10 mins
1.9
The Anatomy of a Good Question
10 mins
1.10
Shaping the Future with Questions
10 mins
1.11
Tool: Mining for Meaningful Questions
10 mins
1.12
The Gathering Stage: Collecting Partial Answers
10 mins
1.13
The Gift of Partial Answers
10 mins
1.14
From Conflicting Answers to Insights
10 mins
1.15
Finding Insights Amid Partial Answers
10 mins
1.16
The Synthesis Stage: Timeless Insights
10 mins
1.17
Timeless Thinking with Insights
10 mins
1.18
What Are Insights, Really?
10 mins
1.19
The Power of Insights in Decision-Making
10 mins
1.20
Insights, Foresights, and Empathy
10 mins
1.21
A Tool for Your Journey: The Insights Inventory
10 mins
1.22
The Context Mapping Stage: Context, Externalities, and Trends
10 mins
1.23
Monitoring and Understanding External Trends
10 mins
1.24
Trends as Bankable Foresights
10 mins
1.25
Tracking Externalities
10 mins
1.26
The Decision Point Stage: Timely Actions and Bankable Foresights
10 mins
1.27
The Beauty of Bankable Foresights
10 mins
1.28
Insights Inform Foresights
10 mins
1.29
Bonus Step: Using AI for Brainstorming
10 mins
1.30
Circling Back
10 mins
1.31
Data, Insights, and Intuition
10 mins
1.32
The Deceptive Duality of Data
10 mins
1.33
False Equivalencies: Correlation versus Causation
10 mins
1.34
Cherry-Picking: Seeing What We Want to See
10 mins
1.35
Trustworthy Data
10 mins
1.36
Measure and Anticipate
10 mins
1.37
Ethical Decision-Making in an AI-Led World
10 mins
1.38
Balancing Optimization and User Needs
10 mins
1.39
The Limits of AI Systems in Decision-Making
10 mins
1.40
Implications across Sectors
10 mins
1.41
Decision Tool: Building to Bankable Foresights
10 mins
CHAPTER 4: Through-Line Thinking
38
2.1
The Harms of Action vs. the Harms of Inaction
10 mins
2.2
Existing Models for Ethical Decision Making
10 mins
2.3
Through-Line Thinking: Working through Past Actions to Understand the Future
10 mins
2.4
Ecosystem Effects and Through-Line Thinking
10 mins
2.5
Misalignment and Consequences at Scale
10 mins
2.6
Ecosystem Effects in Tech Decisions
10 mins
2.7
Unintended or Unanticipated? Unexpected or Unforeseen?
10 mins
2.8
Perverse Incentives
10 mins
2.9
Tech Mongooses
10 mins
2.10
Misconceptions About Ethics Meet the AI Age
10 mins
2.11
Demystifying How We Talk and Think About AI
10 mins
2.12
Knowing Our Own Minds
10 mins
2.13
Thinking Language
10 mins
2.14
The Embodiment of Intelligence
10 mins
2.15
Applying the Strengths of Human and Machine Intelligence
10 mins
2.16
What Humans Decide vs. What Machines Decide
10 mins
2.17
Why Decisions Involving AI and Data Systems Are Complex
10 mins
2.18
Technical Debt, Societal Technical Debt, Ethical Debt, Decision Debt
10 mins
2.19
Ethical AI Requires Transparency and Explainability
10 mins
2.20
The Importance of Explainability in AI Innovation
10 mins
2.21
Explainability Beyond Bias
10 mins
2.22
Ask the Hard Questions
10 mins
2.23
Transparency in AI
10 mins
2.24
Dehumanizing Implications
10 mins
2.25
The Accountability Gap
10 mins
2.26
AI’s Promise and Peril
10 mins
2.27
Human-Centered AI along the Now-Next Continuum
10 mins
2.28
Data Systems at Scale
10 mins
2.29
Putting Privacy in Perspective
10 mins
2.30
Digital Twins and Deepfakes
10 mins
2.31
Trusting AI to Know When AI Can’t Be Trusted
10 mins
2.32
The Ethics of Personhood
10 mins
2.33
Whack-a-Mole Regulations
10 mins
2.34
Ahead of Regulations
10 mins
2.35
The Climate Footprint of AI Systems
10 mins
2.36
Now What? Now-Next
10 mins
2.37
A Call to Action for Human-Friendly Tech Leadership
10 mins
2.38
Decision Tool: Harms Consideration Checklist
10 mins
CHAPTER 5: Ethical Acceleration
40
3.1
Harnessing Technology for Human Betterment
10 mins
3.2
Tech that Uplifts Humanity
10 mins
3.3
Language as a Key to Meaning
10 mins
3.4
Language as a Tool of Strategic Purpose and Clarity
10 mins
3.5
AI, Meaning, and Probability
10 mins
3.6
Language Is a Human Tool for Meaning
10 mins
3.7
The Role of Improbability in Meaning
10 mins
3.8
The Ongoing Importance of Meaning-Making
10 mins
3.9
External vs. Internal Purpose
10 mins
3.10
We Can’t Leave Meaning up to Machines
10 mins
3.11
Output vs. Outcome
10 mins
3.12
Making Tech Human-Friendly
10 mins
3.13
Creativity
10 mins
3.14
Creativity in Constraint
10 mins
3.15
Creative Blocks
10 mins
3.16
The Songwriting Approach
10 mins
3.17
The Boldness to Rethink
10 mins
3.18
Curiosity
10 mins
3.19
Outsourcing Thought
10 mins
3.20
Cycles of Influence
10 mins
3.21
Curiosity: The Antidote to AI Malaise
10 mins
3.22
Collaboration and Play
10 mins
3.23
Designing for the Human Scale
10 mins
3.24
Balancing Automation and Empathy
10 mins
3.25
Automation beyond Efficiency
10 mins
3.26
The New First Rule of Technology
10 mins
3.27
Universal Basic Meaning
10 mins
3.28
The Purposeful Role of Business Leadership
10 mins
3.29
Future Visioning
10 mins
3.30
From Amsterdam to Your Organization
10 mins
3.31
Tech Humanist Leadership for Ethical Acceleration
10 mins
3.32
The Path to Purpose-Driven Growth
10 mins
3.33
Ethical Acceleration in Practice
10 mins
3.34
Navigating Setbacks
10 mins
3.35
Growth without Purpose
10 mins
3.36
Purpose, Principles, and Profit
10 mins
3.37
Learning to See Tomorrow
10 mins
3.38
What Matters/What Is Likely to Matter: Future-Readiness through Agility
10 mins
3.39
Decision Tool: What’s Your “Gift for Tomorrow” Project?
10 mins
3.40
Note
10 mins
CHAPTER 6: Future-Ready Evolution
33
4.1
Jeans 2.0
10 mins
4.2
Unpacking the Meaning of Transformation
10 mins
4.3
Personal Transformations: The Heart of Change
10 mins
4.4
Professional Transformations: The Business of Change
10 mins
4.5
Experience-Driven Transformation
10 mins
4.6
Beyond Digital Transformation
10 mins
4.7
Why Might Transformation Projects Fail?
10 mins
4.8
Digital Transformation Canvas 2.0
10 mins
4.9
Transformation at Scale
10 mins
4.10
Moving Past Reactivity toward Foresight
10 mins
4.11
Siemens Chengdu Factory’s Foresight
10 mins
4.12
From Reactive to Proactive
10 mins
4.13
Crafting Future-Ready Strategy with Through-Line Thinking
10 mins
4.14
Pivoting Harmful Inaction into Harm-Reducing Action at Scale
10 mins
4.15
A Costly Scandal
10 mins
4.16
The Road to Redemption
10 mins
4.17
Beware of Creating an IT Dumping Ground
10 mins
4.18
Driving Responsible Scaling and Meaningful Innovation
10 mins
4.19
Lessons Learned for Future-Readiness
10 mins
4.20
Transformation and Ethical Considerations
10 mins
4.21
Designing for Billions, Thinking for One
10 mins
4.22
The Power of Active Empathy
10 mins
4.23
Casting the Right Net
10 mins
4.24
Structured Solutions for Specific Problems
10 mins
4.25
Balancing Specialization and Generalization
10 mins
4.26
Work Transformation
10 mins
4.27
Cycle of Inquiry
10 mins
4.28
Optimization and Integration
10 mins
4.29
Integration: The Bigger Picture
10 mins
4.30
Practical Steps for Leaders
10 mins
4.31
What Matters: Climate Action
10 mins
4.32
What Matters: Sustainable Development Goals (SDGs)
10 mins
4.33
Decision Tool: Reflective Checklist for Meaningful Innovation
10 mins
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