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Scaling up analogical innovation with crowds and AI
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| Zeitschriftentitel: | Proceedings of the National Academy of Sciences |
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| Personen und Körperschaften: | , , , , , , , , |
| In: | Proceedings of the National Academy of Sciences, 116, 2019, 6, S. 1870-1877 |
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Proceedings of the National Academy of Sciences
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Kittur, Aniket Yu, Lixiu Hope, Tom Chan, Joel Lifshitz-Assaf, Hila Gilon, Karni Ng, Felicia Kraut, Robert E. Shahaf, Dafna Kittur, Aniket Yu, Lixiu Hope, Tom Chan, Joel Lifshitz-Assaf, Hila Gilon, Karni Ng, Felicia Kraut, Robert E. Shahaf, Dafna |
|---|---|
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Kittur, Aniket Yu, Lixiu Hope, Tom Chan, Joel Lifshitz-Assaf, Hila Gilon, Karni Ng, Felicia Kraut, Robert E. Shahaf, Dafna |
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Kittur, Aniket Yu, Lixiu Hope, Tom Chan, Joel Lifshitz-Assaf, Hila Gilon, Karni Ng, Felicia Kraut, Robert E. Shahaf, Dafna Proceedings of the National Academy of Sciences Scaling up analogical innovation with crowds and AI Multidisciplinary |
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Kittur, Aniket Yu, Lixiu Hope, Tom Chan, Joel Lifshitz-Assaf, Hila Gilon, Karni Ng, Felicia Kraut, Robert E. Shahaf, Dafna 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.1807185116 <jats:p>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.</jats:p> Scaling up analogical innovation with crowds and AI Proceedings of the National Academy of Sciences |
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| description | <jats:p>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.</jats:p> |
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| spelling | Kittur, Aniket Yu, Lixiu Hope, Tom Chan, Joel Lifshitz-Assaf, Hila Gilon, Karni Ng, Felicia Kraut, Robert E. Shahaf, Dafna 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.1807185116 <jats:p>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.</jats:p> Scaling up analogical innovation with crowds and AI Proceedings of the National Academy of Sciences |
| spellingShingle | Kittur, Aniket, Yu, Lixiu, Hope, Tom, Chan, Joel, Lifshitz-Assaf, Hila, Gilon, Karni, Ng, Felicia, Kraut, Robert E., Shahaf, Dafna, Proceedings of the National Academy of Sciences, Scaling up analogical innovation with crowds and AI, Multidisciplinary |
| title | Scaling up analogical innovation with crowds and AI |
| title_full | Scaling up analogical innovation with crowds and AI |
| title_fullStr | Scaling up analogical innovation with crowds and AI |
| title_full_unstemmed | Scaling up analogical innovation with crowds and AI |
| title_short | Scaling up analogical innovation with crowds and AI |
| title_sort | scaling up analogical innovation with crowds and ai |
| title_unstemmed | Scaling up analogical innovation with crowds and AI |
| topic | Multidisciplinary |
| url | http://dx.doi.org/10.1073/pnas.1807185116 |