Evergreen B. Autonomous Transformation. Creating A More Human Future in The Era of Artificial Intelligence

Hoboken: Wiley, 2023. — 239 p.Introduction: We Can Create a More Human Future
What Is a More Human Future?
How Do We Create This More Human Future?
What Is Profitable Good?
Talent Preferences
Market Preference (e.g., doing good has become an economic force)
Strategic Partner Preference
Greed, Profit, and Altruism
What About Social Purpose Corporations?
Profitable Good in the Real World
Notes
Part One The Fundamentals
Chapter 1 Reformation, Transformation, and Creation: Defining Autonomous Transformation
Weaving Our Way to the Moon
Job Protectionism, Job Fatalism, and Job Pragmatism
Preservation of Human Work for Human Experiences
Creating a More Human Future Through Creation, Reformation, and Transformation
Survivalism and Digital Darwinism
Notes
What Does It Mean to Be Human in the Era of Artificial Intelligence?
The Pain of Uncertainty
Capability
Consciousness
Notes
The Art of the Impossible
Our Inheritance
Our Inheritance from the Industrial Revolution
Taylorism, or Scientific Management
Data Science Taylorism*
Notes
Maintenance Mode
Centuries-Old Systems
Maintenance Mode as a Means of Sustaining Scaffolded Systems
Maintenance Mode and Advanced Technologies
Is Technology the Problem or the Solution?
The Coexistence of Maintenance and Creation
A Note for Individual Contributors
Note
Envision Your Future
Requiem for the Industrial Revolution: Rehumanizing Work
Note
The Problem with Solving Problems: Introducing Future Solving
Problem Solving versus Future Solving
The Use Case Problem
The Second Use Case Problem: Use Case Battleship
Doing the Wrong Thing Right
Notes
Developing the Skill of Envisioning
Functional Reimagining
Multiverse Reimagining
Part Four Discover and Rediscover
Systemic Design and the Lost Art of Synthesis
The Interconnectedness of Parts within a System
Dimensions of Systems
The Lost Art of Synthesis
Notes
The Organization as a Chessboard: Seeing the Pieces
How to Determine Whether You Are Focused on a Subset of the Whole System
A Note for Individual Contributors
Notes
The Organization as a System
Intraorganizational Systems
Interorganizational Systems
Industry-Specific Organizational Systems
Broken Systems
The Hedberg Strategy
A Broken System
One Reimagining of Internal Technology Organizations
A Second Reimagining of Internal Technology Organizations
Clear the Digital Fog
Chaos, Noise, and Epistemology in the Digital Age
Chaos, Noise, and the Three Logical Fallacies
Epistemology in the Digital Age
Notes
Silicon Valley, Wall Street, and the Factory Floor
The Divide Within
The Divide Across
The View from One Side of the Field
The View from the Other Side of the Field
The Divide Without
Note
The Multiplication of Expertise: A Leadership Imperative
Three Altitudes of Inputs and Outputs
Example A
Example B
Notes
Design for Inevitability
From Data-Driven to Reason-Driven
Aristotle’s Conundrum
Organizational Empiricism
Organizational Reasoning (from Data-Driven to Reason-Driven)
Notes
The Reformational Economics of Linear and Exponential Value
Linear versus Exponential Value in the Case of Capability
Notes
The Reformational Economics of Omission and Commission
Outcome Bias in the Face of Failure
The Ecosystem: Surprising and Remarkable Partnerships
Designing for Inevitability: An Ecosystemic Discipline
Building an Ecosystem
Maintaining versus Sustaining an Ecosystem
Surprising and Remarkable Partnerships within an Organization
Create a More Human Future
Beyond Pilot Purgatory
Pilots within Social Systems
Riskless Experimentation
Piloting the Path to Promotion
Human-Centered Transformation
Note
Storytelling: Leading Social Systems
Storytelling as a Strategic Organizational Imperative
Closing the Story Circle
Storytelling as an Agent for Change
A More Human Organization
Notes
Autonomous Transformation Technologies
Autonomous Transformation Technologies: A Leader’s Guide
Autonomous Transformation Example 1: Product Development
Autonomous Transformation Example 2: Global Logistics
Autonomous Transformation Example 3: Health Care
A Note on Blockchain
Notes
A Deeper Dive into Artificial Intelligence
The Components of Artificial Intelligence
Analytics
Descriptive Analytics: What does my data tell me has happened/is happening?
Diagnostic Analytics: Why does my data say that it happened/is happening?
Predictive Analytics: What does my data tell me is likely to happen in the future?
Prescriptive Analytics: What do my data and business logic tell me I should do next?
Statistics
Data Science
Decision Science
Machine Learning
Generative Artificial Intelligence (Generative AI)
Reinforcement Learning
Autonomous Artificial Intelligence
Machine Teaching: A New Paradigm
Automation versus Artificial Intelligence
Automation versus Autonomy
How to Tell When Someone Is Lying about Artificial Intelligence
Quiz
Notes
Conclusion
What Should You Read Next?
Acknowledgments
Index