Principal Investigators Anantha Chandrakasan , Sanjay Sarma , Daniela Rus , Thomas Malone
Principal Investigator Thomas Malone
Principal Investigators Thomas Malone , Kathleen Kennedy
This presentation will discuss how the COVID-19 pandemic will be like a bullet train to the future, dramatically accelerating many trends involving digital communication that were already underway and that will never return to the way they were before the pandemic. Examples discussed will include the kinds of jobs people will do, how and where they will work, how this will affect real estate, how people will shop and socialize, and how they will learn. The presentation will also suggest how new kinds of online work can help solve some of the near-term problems the pandemic creates.
Throughout human history, progress has almost never been made by individuals acting alone, but rather by the power of groups. Thomas Malone calls these groups “superminds” – entities like hierarchies, communities, markets, and democracies that can accomplish far more by drawing upon their collective abilities to create, learn, and make decisions together. In this talk based on his recent book, Superminds, Malone uses striking examples and case studies to show how computers can help create much more intelligent superminds, not just with artificial intelligence, but perhaps even more importantly with hyper-connectivity: connecting people to one another at massive scales and in rich, new ways.
Thomas Malone Patrick J McGovern (1959) Professor of Management; Founding Director, Center for Collective Intelligence (CCI)
This talk will begin by looking at predictions from the past about the future of work. Then it will focus on a promising new way to predict how work will be organized in the future: by thinking about how to create more intelligent organizations. Examples to be described include: studies of why some groups are smarter than others, studies of how people and machines together can do better than either alone, and ways to harness the collective intelligence of thousands of people to solve complex problems like climate change.
2016 MIT Information and Communication Technologies Conference