Working With Humans

How do you keep your employees engaged, creative, innovative, and productive? Simple: Work human! From the pioneers of the management strategy that’s transforming businesses worldwide, Making Work Human shows how to implement a culture of performance and gratitude in the workplace—and seize a competitive edge, increase profitability, and drive business momentum. Leaders of Workhuman, the world’s fastest-growing social recognition and continuous performance management platform, Eric Mosley and Derek Irvine use game-changing data analytics to prove that when a workplace becomes more “human”—when it’s fueled by a culture of gratitude—measurable business results follow. In Making Work Human, they show you how to: Apply analytics and artificial intelligence in ways that make work more human, not less Expand equity, diversity, and inclusion initiatives and strategies to include a wider range of backgrounds, life experiences, and capabilities Use recognition as an actionable strategy to create a truly inclusive, connected culture “The qualities that make us most human—connection, community, positivity, belonging, and a sense of meaning—have become the corporate fuel for getting things done—for innovating, for thriving in the global marketplace, and for outperforming the competition,” the authors write. By building a sense of belonging, purpose, meaning, happiness, and energy in every employee, you’ll create a profound connection between your organization and its goals. And Making Work Human provides everything you need to get there.

This edited collection provides a series of accounts of workers’ local experiences that reflect the ubiquity of work’s digitalisation. Precarious gig economy workers ride bikes and drive taxis in China and Britain; call centre workers in India experience invasive tracking; warehouse workers discover that hidden data has been used for layoffs; and academic researchers see their labour obscured by a ‘data foam’ that does not benefit them. These cases are couched in historical accounts of identity and selfhood experiments seen in the Hawthorne experiments and the lineage of automation. This book will appeal to scholars in the Sociology of Work and Digital Labour Studies and anyone interested in learning about monitoring and surveillance, automation, the gig economy and the quantified self in the workplace.

An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times

A public policy leader addresses how artificial intelligence is transforming the future of labor—and what we can do to protect the role of workers. As computer technology advances with dizzying speed, human workers face an ever-increasing threat of obsolescence. In Human Work In the Age of Smart Machines, Jamie Merisotis argues that we can—and must—rise to this challenge by preparing to work alongside smart machines doing that which only humans can: thinking critically, reasoning ethically, interacting interpersonally, and serving others with empathy. The president and CEO of Lumina Foundation, Merisotis offers a roadmap for the large-scale, radical changes we must make in order to find abundant and meaningful work for ourselves in the 21st century. His vision centers on developing our unique capabilities as humans through learning opportunities that deliver fair results and offer a broad range of credentials. By challenging long-held assumptions and expanding our concept of work, Merisotis argues that we can harness the population’s potential, encourage a deeper sense of community, and erase a centuries-long system of inequality.

Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers. These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.

What if a simple understanding of how the mind works was all you needed to build a business that inspired innovation, productivity, loyalty and the ability to continually solve complex business problems? What if you never needed to study ¿proven strategies¿ or buy into someone else¿s success story? Imagine if...- Business problems seemed to melt away on their own.- You could work and live free of overwhelm and anxiety.- Your staff was fiercely loyal and committed to your success.- New, game-changing ideas and innovations were commonplace.Humans Working presents a deep, yet straightforward understanding of the most important asset in business ¿ the human mind ¿ and illustrates implications for you as a business leader, contributor, parent, partner and beyond.

None of us has ever lived through a genuine industrial revolution. Until now. Digital technology is transforming every corner of the economy, fundamentally altering the way things are done, who does them, and what they earn for their efforts. In The Wealth of Humans, Economist editor Ryan Avent brings up-to-the-minute research and reporting to bear on the major economic question of our time: can the modern world manage technological changes every bit as disruptive as those that shook the socioeconomic landscape of the 19th century? Traveling from Shenzhen, to Gothenburg, to Mumbai, to Silicon Valley, Avent investigates the meaning of work in the twenty-first century: how technology is upending time-tested business models and thrusting workers of all kinds into a world wholly unlike that of a generation ago. It's a world in which the relationships between capital and labor and between rich and poor have been overturned. Past revolutions required rewriting the social contract: this one is unlikely to demand anything less. Avent looks to the history of the Industrial Revolution and the work of numerous experts for lessons in reordering society. The future needn't be bleak, but as The Wealth of Humans explains, we can't expect to restructure the world without a wrenching rethinking of what an economy should be.