Catherine E. Tucker – författare

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system.In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system.

In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI.

The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

A foundational new collection examining the mechanics of privacy in the digital age.The falling costs of collecting, storing, and processing data have allowed firms and governments to improve their products and services, but have also created databases with detailed individual-level data that raise privacy concerns. This volume summarizes the research on the economics of privacy and identifies open questions on the value of privacy, the roles of property rights and markets for privacy and data, the relationship between privacy and inequality, and the political economy of privacy regulation. Several themes emerge across the chapters. One is that it may not be possible to solve privacy concerns by creating a market for the right to privacy, even if property rights are well-defined and transaction costs are low. Another is that it is difficult to measure and value the benefits of privacy, particularly when individuals have an intrinsic preference for privacy. Most previous attempts at valuation have focused only on quantifiable economic outcomes, such as innovation. Finally, defining privacy through an economic lens is challenging. The broader academic and legal literature includes many distinct definitions of privacy, and different definitions may be appropriate in different contexts. The chapters explore a variety of frameworks for examining these questions and provide a range of new perspectives on the role of economics research in understanding the benefits and costs of privacy and of data flows. As the digital economy continues to expand the scope of economic theory and research, The Economics of Privacy provides the most comprehensive survey to date of this field and its next steps.