Title: Humachine
Description: "What started as an inquiry into how executives can adopt AI to harness the best of human and machine capabilities turned into a much more profound rumination on the future of humanity and enterprise. This is a wake up call for business leaders across all sectors of the economy. Not only should you implement AI regardless of your industry, but once you do, you should fight to stay true to your purpose, your ethical convictions, indeed your humanity, even as our organizations continue to evolve. While not holding any punches about the dangers posed by AI, this book uniquely surveys where technology is limited, and where the true opportunities lie amidst all the disruptive change currently underway. As such, it is distinctively more optimistic than many of the competing titles on Big Technology. This is a compelling book that weaves together philosophical, psychological, and legal insights; organizational governance, operations, and strategy; and technological breakthroughs and limitations. The authors set out to identify where humans and machines can best complement one another to create an enterprise greater than the sum total of its parts: the Humachine. Combining the business and predictive acumen of Professor Nada R. Sanders, PhD (Distinguished Professor at Northeastern University) with the legal and philosophical perspective of John D. Wood, Esq. (Attorney and Member of the New York State Bar) the authors combine their strengths as internationally recognized experts in forecasting and sustainable business to bring us this profound yet accessible book. This is a "must read" for everyone interested in the future of human enterprise"--
Subjects: Human capital, Artificial intelligence, Economic aspects, Automation, Labor supply, Effect of automation on, Human-computer interaction, Intelligence artificielle, Aspect économique, Marché du travail, Effets de l'automatisation sur, BUSINESS & ECONOMICS, Management Science, Decision-Making & Problem Solving, Human Resources & Personnel Management, Business, Data processing, Human-machine systems