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Artificial intelligence and human-computer collaboration

Interview with Sandy Pentland, Toshiba Professor of Media Arts and Sciences

Artificial intelligence (AI) and computational social science—applying computational approaches to examining social experiences—have emerged as powerful methods to help humans solve increasingly complex business problems. The topic of human-machine collaboration was on the table when Jim Guszcza, chief data scientist, Deloitte Consulting LLP, sat down with Sandy Pentland, author and MIT Media Lab professor, to talk about AI, people analytics, social physics, and big data.

The human does the strategy, the machine does the tactics, and when you put them together you get a world-beater.

                                                                    —Sandy Pentland, Toshiba Professor of Media Arts and Sciences, MIT Media Lab​

Video playlist

Artificial intelligence and human-computer collaboration: Computational social science combines the strength of man’s strategic reasoning with the computational power of machines to forge a powerful human-machine bond. In this interview, Deloitte’s Jim Guszcza and MIT Media Lab’s Sandy Pentland explore how the complementary relationship between man and machine can deliver higher-level results.

People analytics and the science of smarter teams: By combining smart teams with analytical and statistical methods, businesses can garner better ideas for efficiently solving highly complex problems, as well as enable innovation. In this interview, Jim Guszcza and Sandy Pentland discuss how people analytics can create new business advantages.

Social physics: Through the practice of using statistics to understand the evolution of culture, it is possible to analyze particles and patterns among and within interactions to help break up silos and create more resilient and innovative teams and more productive groups. In this video, Jim Guszcza and Sandy Pentland discuss how social physics can help businesses harvest the best ideas to create a sustainable pattern of innovation.

Reframing big data: Our use of big data is evolving. We can now access the human element deep within the data rather than the data itself. In this video, Jim Guszcza and Sandy Pentland chat about how the combination of computational social science and big data helps create a better understanding of how humans influence one another, how cultures form, and how companies can structure themselves to make better decisions.

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