The Humachine : Humankind, Machines, and the Future of Enterprise

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.