A Magna Carta for Inclusivity and Fairness in the Global AI Economy
"Should your self-driving Uber be allowed to break traffic regulations in order to safely merge onto the highway? To what extent are algorithms as prone to discriminatory patterns of thinking as humans – and how might a regulatory body make this determination? More fundamentally, as more tasks are delegated to intelligent machines, to what extent will those of us who are not directly involved in the development of these technologies be able to influence their decisions? It is with these questions in mind that we are pleased to have adapted the following article for publication at TDL. – Andrew Lewis, Editor-in-Chief"
We stand at a watershed moment for society’s vast, unknown digital future. A powerful technology, artificial intelligence (AI), has emerged from its own ashes, thanks largely to advances in neural networks modeled loosely on the human brain. AI can find patterns in massive unstructured data sets and improve its own performance as more data becomes available. It can identify objects quickly and accurately, and make ever more and better recommendations — improving decision-making, while minimizing interference from complicated, political humans. This raises major questions about the degree of human choice and inclusion for the decades to come. How will humans, across all levels of power and income, be engaged and represented? How will we govern this brave new world of machine meritocracy?
About the Authors
Olaf Groth
Dr. Olaf Groth, Ph.D. is co-author of “Solomon’s Code” and CEO of Cambrian.ai, a network of advisers on global innovation and disruption trends, such as AI, IOT, autonomous systems and the 4th Industrial Revolution for executives and investors. He serves as Professor of Strategy, Innovation & Economics at Hult International Business School, Visiting Scholar at UC Berkeley’s Roundtable on the International Economy, and the Global Expert Network member at the World Economic Forum.
Mark Nitzberg
Dr. Mark Nitzberg, Ph.D. is co-author of “Solomon’s Code” and Executive Director of the Center for Human-Compatible AI at the University of California at Berkeley. He also serves as Principal & Chief Scientist at Cambrian.ai, as well as advisor to a number of startups, leveraging his combined experience as a globally networked computer scientist and serial social entrepreneur.
Mark Esposito
Mark Esposito is a member of the Teaching Faculty at the Harvard University's Division of Continuing, a Professor of business and economics, with an appointment at Hult International Business School. He is an appointed Research Fellow in the Circular Economy Center, at the University of Cambridge's Judge Busines School. He is also a Fellow for the Mohammed Bin Rashid School of Government in Dubai.
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