Sep 9–12, 2019

Executive Briefing: AI for social good

Michael Chui (McKinsey Global Institute), James Manyika (McKinsey & Company)
11:55am12:35pm Wednesday, September 11, 2019
Location: LL21 A/B
Average rating: *****
(5.00, 3 ratings)



AI has the potential to create substantial value for business and the global economy, but it’s less well understood how it can address some of the world’s biggest societal challenges.

Michael Chui and James Manyika examine the ethical implications of AI and how you can leverage the technology for good while considering the wide-reaching repercussions on business and human society alike. Michael and James draw on McKinsey Global Institute (MGI) research on the economic potential of AI and its use cases across sectors and functions, as well as how it can be applied for social good. Bias is a massive topic in AI right now, and you’ll hear some more research from McKinsey and MGI on ethical AI and AI and bias.

What you'll learn

  • Gain a better understanding of the economic potential of AI, its use cases across sectors and functions, how AI can be applied for social good, the ethics of AI, and navigating pitfalls such as bias in AI
Photo of Michael Chui

Michael Chui

McKinsey Global Institute

Michael Chui is a San Francisco-based partner in the McKinsey Global Institute, where he directs research on the impact of disruptive technologies, such as big data, social media, and the internet of things, on business and the economy. Previously, as a McKinsey consultant, Michael served clients in the high-tech, media, and telecom industries on multiple topics. He was the first chief information officer of the City of Bloomington, Indiana, and was the founder and executive director of HoosierNet, a regional internet service provider. Michael is a frequent speaker at major global conferences and his research has been cited in leading publications around the world. He holds a BS in symbolic systems from Stanford University, a PhD in computer science and cognitive science, and an MS in computer science, both from Indiana University.

Photo of James Manyika

James Manyika

McKinsey & Company

James Manyika is a director of the McKinsey Global Institute, McKinsey & Company’s business and economics research arm, and one of its three global coleaders. James has led research on business and global economic trends, including the digital economy, globalization, growth and productivity, innovation and competitiveness, and labor markets. James is also a director at McKinsey, where he is one of the leaders of McKinsey’s global high-tech, media, and telecom practice. Based in Silicon Valley for 20 years, he’s worked with many of the world’s leading technology companies on a variety of issues. He’s published a book on distributed networks and robotics another on globalization, as well as numerous academic and business papers and reports. In 2012, James was appointed by President Obama to serve on of the US President’s Global Development Council and in 2013 to serve as the vice chairman of the council. In 2011, James was appointed by the US Secretary of Commerce to serve on the Innovation Advisory Board as part of the COMPETES Act. James serves on the boards of the Aspen Institute; the Oxford Internet Institute; the University of California, Berkeley, School of Information; the Harvard Hutchins Center for African & African American Research, including the W. E. B. Du Bois Research Institute; and the School of Global Affairs and Public Policy at the American University in Cairo. James is a nonresident senior fellow of the Brookings Institution, a member of the Council on Foreign Relations, and a member of the Bretton Woods Committee. James was on the engineering faculty at Oxford University and a fellow at Balliol College, Oxford University; a visiting scientist at NASA’s Jet Propulsion Laboratory; and a faculty exchange fellow at MIT. A Rhodes Scholar, James holds DPhil, MSc, and MA degrees from Oxford in engineering, mathematics, and computer science, respectively, and a BSc in electrical engineering from the University of Zimbabwe.

  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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