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.Part One The Fundamentals.
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.What Does It Mean to Be Human in the Era of Artificial Intelligence?
The Pain of Uncertainty.
Capability.
Consciousness.The Art of the Impossible.
Our Inheritance.
Our Inheritance from the Industrial Revolution.
Taylorism, or Scientific Management.
Data Science Taylorism*.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.Envision Your Future.
Requiem for the Industrial Revolution: Rehumanizing Work.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.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.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.The Organization as a System.
Intra-organizational 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.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.The Multiplication of Expertise: A Leadership Imperative.
Three Altitudes of Inputs and Outputs.
Example A.
Example B.Design for Inevitability.
From Data-Driven to Reason-Driven.
Aristotle’s Conundrum.
Organizational Empiricism.
Organizational Reasoning (from Data-Driven to Reason-Driven).The Reformational Economics of Linear and Exponential Value.
Linear versus Exponential Value in the Case of Capability.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.Storytelling: Leading Social Systems.
Storytelling as a Strategic Organizational Imperative.
Closing the Story Circle.
Storytelling as an Agent for Change.
A More Human Organization.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.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.What Should You Read Next?