The Humachine : Humankind, Machines, and the Future of Enterprise.
Material type:
- text
- computer
- online resource
- 9780429672699
- 306.361
- HC79.A9 .S26 2020
Cover -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Introduction: Defining the Humachine -- 1: The Fourth Industrial Revolution -- "Deep Blue" Blues -- Kasparov's Law: Triumph of Process -- The New Kid in Town -- The "Big Bang" of Modern AI -- "Robot Proof" the Workforce: Embracing Moravec's Paradox -- Machines Can't Do Everything -- There Are Worse Things than Losing Your Job -- The Humachine: People, Process, Machines -- How to Get There -- Conclusion -- Notes -- 2: Pathways to Superintelligence -- Thousand Pound Gorilla Philosopher -- What Is Superintelligence? -- Using (Not Abusing) Neo-Darwinian Accounts of Intelligence -- Competition, Evolution, and Survival -- The Evolutionary Paths of Human and Machine Intelligence Split -- Case in Point -- Biological Cognitive Enhancement -- Neural Lace: Turning Humans into Cyborgs -- Whole Brain Emulation -- Collective Superintelligence -- Bostrom's Blind Spot: The Promise of Collective Intelligence -- Why Is It a Problem? -- Collective Intentionality -- Does "Microsoft" Really "Intend" Anything? -- Collective Minds Play a Causal Role in the Real World -- Some Philosophical Points That Support Collective Intentionality -- Could a Corporation Actually Be Conscious? -- Humachines and the Noosphere -- Conclusion -- Notes -- 3: The Limits of Machine Capabilities -- When Robots Hang with the Wrong Crowd -- Let's Not Indulge in Hyperbole Here -- Big Data, Algorithms, Cloud Computing, and Dark Data -- Big Data -- Algorithms -- Cloud Computing -- Dark Data -- Data Is the Foundation for AI and Machine Learning -- AI, Machine Learning, Deep Learning, and Neural Networks -- Artificial Intelligence -- Machine Learning -- Neural Networks -- Deep Learning -- What Machines Can Do -- Pattern Recognition.
Processing Velocity, Accuracy, Volume, and Consistency -- Connect Complex Systems -- What Machines Cannot Do -- Lacking Common Sense -- No Understanding of Context -- Data Hungry and Brittle -- No Intuition -- Local Optima -- Black Box Decision-Making -- Garbage in, Garbage Out -- Conclusion -- Notes -- 4: The Limits of Human Capabilities -- The Microwave's Eureka Moment -- Thinking about Thinking -- The Conundrum of Originality -- In Defense of Homo Sapiens -- General Intelligence -- Intuition -- Creativity and Innovation -- Pleasure and Aesthetics -- Emotions -- Emotional Intelligence -- Care -- Play -- Ethical Convictions -- Managing When Human, All Too Human -- Dealing with Human Biases -- Anchoring -- Bandwagon Effect -- Attribution Bias -- Confirmation Bias -- Framing -- Cultivating Human Virtues in the Technology Era -- Changing What It Means to Be Smart -- Baby Boomers and Botsourcing -- Conclusion -- Notes -- 5: Integration of People and Technology -- Use It or Lose It -- Recipe, Formula, Alchemical Spell, Call It What You Will -- Jobs Are Going to Evolve but Not Disappear -- AI Is a Horizontal Enabling Layer -- Complementary Coworkers: Moravec's Paradox Resolved -- Augmentation, Amplification, and Other Performance Enhancers -- Augmentation -- Co-bots -- Amplification -- Enhancing Creativity -- Improving Innovation -- Enhanced Learning Through Visual Analytics -- The Human-Machine Interface -- Developing Trust in the Machines -- Human Resources in the Artificial Intelligence Era -- Dangers of Overreliance: Atrophy -- Conclusion -- Notes -- 6: Legal Issues in the Humachine Era -- Cybersecurity, Deepfakes, and Generative Adversarial Networks -- There's More Than Just the Control Problem -- Asimov's Laws of Robotics -- Risk Management, Pandora's Box, and the Chamber of Commerce -- Deepfakes: A Pernicious Permutation of Photo Fakery.
The High Stakes of Deepfakes -- Law's Limited Remedy -- The Promise of Legal Solutions -- Consumer Privacy and the "Internet of Eyes" -- The Cost of Failing to Implement Privacy and Security Safeguards -- Beware of Algorithmic Bias -- Black Box Decisions: AI's "Dark Secret" -- The Impact of AI on Lawmaking and Regulations -- Erosion of Public Trust -- Improving Public Participation -- The Spambot Lobby: Repealing Net Neutrality -- "Notice and Comment" Rulemaking -- Open Internet on the Electronic Frontier -- Betraying the Founders of the Internet -- Transparency versus "Openwashing" -- Conclusion -- Notes -- 7: Breaking the Paradigm -- Human Experience over Hierarchy -- Technology-Driven, Human-Centric -- A New Business Paradigm -- Intentionality -- Purpose -- Culture -- Authenticity -- Integrity -- Integration -- From Pyramids and Silos to Flexible Networks -- Humans and Machines: The New Coworkers -- Design Thinking -- AI-User Interface -- Implementation -- Have a Clear Message -- Hire the Right Talent -- Create a Work Environment That People Love -- Foster Freedom to Create, Experiment, and Fail -- Indication -- A Dynamic Model -- Conclusion -- Notes -- 8: Mutations -- If Refrigerators Could Talk-Oh Wait, They Can! -- A Different Species of Organization -- Mutation, Not Transformation -- Humachine Traits -- Kasparov's Law Redux -- Focus on Human Needs -- The "Experience Economy" -- Customer Is the Co-creator -- Flat and Fluid Organizational Structures -- Flatness and Fluidity -- Porous Boundaries, Social Webs -- From Holacracy to Rendanheyi: One Size Does Not Fit All -- A Culture of Entrepreneurship and Innovation -- Entrepreneurial Spirit -- Innovation -- Self-awareness -- Organizational Self-awareness -- Intentionality Driven: Understand Who You Are -- Orchestrating the Mutation: Thoughtful Leadership -- Leadership and Failure.
Develop a Long-Term Vision -- Understand the Current State -- Allocate Sufficient Resources -- Embrace Transparency -- Start with a Pilot -- Conclusion -- Notes -- 9: Reflections on the Humachine -- Finding Your Organization's Soul -- Foundations -- Are Humans Actually Getting Smarter? (No) -- With Great Power Comes… the Ability to Do a Lot of Damage -- We Need to Play to Our Strengths -- "Humanics": Education for the Humachine Workforce -- Reflections on the Future of Work -- Conclusion -- Notes -- Index.
This book weaves together philosophical, psychological, and legal insights; organizational governance, operations, and strategy; and technological breakthroughs and limitations. The authors identify where humans and machines can best complement one another to create an enterprise greater than the sum total of its parts: the Humachine.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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