Scaling Up Analogical Innovation with Crowds and AI

Posted: 10 Apr 2021

See all articles by Aniket Kittur

Aniket Kittur

Carnegie Mellon University - School of Computer Science

Lixiu Yu

Carnegie Mellon University

tom hope

Hebrew University of Jerusalem - School of Computer Science

Hila Lifshitz-Assaf

Harvard University - Business School (HBS); New York University (NYU) - Leonard N. Stern School of Business

karni gilon

Hebrew University of Jerusalem - School of Computer Science

Felicia Ng

Carnegie Mellon University

Robert E. Kraut

Carnegie Mellon University - David A. Tepper School of Business; Carnegie Mellon University - School of Computer Science

dafna shachaf

Hebrew University of Jerusalem - School of Computer Science

Date Written: February 21, 2019

Abstract

Analogy—the ability to find and apply deep structural patterns across domains—has been fundamental to human innovation in science and technology. Today there is a growing opportunity to accelerate innovation by moving analogy out of a single person’s mind and distributing it across many information processors, both human and machine. Doing so has the potential to overcome cognitive fixation, scale to large idea repositories, and support complex problems with multiple constraints. Here we lay out a perspective on the future of scalable analogical innovation and first steps using crowds and artificial intelligence (AI) to augment creativity that quantitatively demonstrate the promise of the approach, as well as core challenges critical to realizing this vision.

Suggested Citation

Kittur, Aniket and Yu, Lixiu and hope, tom and Lifshitz-Assaf, Hila and Lifshitz-Assaf, Hila and gilon, karni and Ng, Felicia and Kraut, Robert E. and shachaf, dafna, Scaling Up Analogical Innovation with Crowds and AI (February 21, 2019). NYU Stern School of Business Forthcoming, Available at SSRN: https://ssrn.com/abstract=3339259

Aniket Kittur

Carnegie Mellon University - School of Computer Science ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213
United States

Lixiu Yu

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

Tom Hope

Hebrew University of Jerusalem - School of Computer Science ( email )

Mount Scopus
Jerusalem, 91905
Israel

Hila Lifshitz-Assaf (Contact Author)

Harvard University - Business School (HBS) ( email )

Soldiers Field Road
Cotting House 321A
Boston, MA 02163
United States

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

Karni Gilon

Hebrew University of Jerusalem - School of Computer Science ( email )

Mount Scopus
Jerusalem, 91905
Israel

Felicia Ng

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

Robert E. Kraut

Carnegie Mellon University - David A. Tepper School of Business ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213-3890
United States
412-268-7694 (Phone)
412-268-1266 (Fax)

Carnegie Mellon University - School of Computer Science

5000 Forbes Avenue
Pittsburgh, PA 15213
United States

Dafna Shachaf

Hebrew University of Jerusalem - School of Computer Science ( email )

Mount Scopus
Jerusalem, 91905
Israel

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