Showing results for "Humans" in Labour & Industrial Relations

Big Tech has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions that labour under often appalling conditions to make AI possible. Feeding the Machine presents an urgent, riveting investigation of the intricate network of organisations that maintain this exploitative system, revealing the untold truth of AI.

Bestselling author and economist Jay W. Richards makes the definitive case for how the free market and individual responsibility can save the American Dream in an age of automation and mass disruption. For two and a half centuries, America has been held together by the belief that if you work...

One of the most vexing human rights issues of our time has been how to protect the rights of individuals and communities worldwide in an age of globalization and multinational business. Indeed, from Indonesian sweatshops to oil-based violence in Nigeria, the challenges of regulating harmful corporate practices in some of the world’s most difficult regions long seemed insurmountable. Human rights groups and businesses were locked in a stalemate, unable to find common ground. In 2005, the United Nations appointed John Gerard Ruggie to the modest task of clarifying the main issues.

Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.

Bloomsbury presents Feeding the Machine by James Muldoon, Mark Graham, and Callum Cant, read by Orlando Wells. For readers of Naomi Klein and Nicole Perlroth, A myth-dissolving exposé of what “artificial intelligence” really means, and a resounding argument for an equitable future of A.I...