Showing results for "Digital Theory" in Business Ethics

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.

A Crisis of Beliefs makes us rethink the financial crisis and the nature of economic risk. In this authoritative and comprehensive book, two of today's most insightful economists reveal how our beliefs shape financial markets, lead to expansions of credit and leverage, and expose the economy to major risks.

Entrepreneurs, businessmen, and investors are constantly looking for principles and rules that will pave the way for success. Usually, those at the forefront are successful entrepreneurs from Silicon Valley or legendary Wall Street investors. But the principles of economic growth, wealth creation, and preservation were written long before the rise of the modern market economy and its heroes.

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.