Unanimous A.I.

Unanimous AI is an American technology company that amplifies the intelligence of human groups using AI algorithms modeled after swarms in nature. Inspired by the intelligence amplification effects that occur within flocks of birds, schools of fish, and swarms of bees, Unanimous enables people to achieve similar benefits by forming "artificial swarms" online. Known as Artificial Swarm Intelligence (ASI), the core technology enables groups to efficiently combine their knowledge, wisdom, insights, and intuitions into an emergent intelligence that is sometimes referred to as a "hive mind."[1][2][3]

Unanimous AI
TypePrivate
Founded2014
FounderLouis Rosenberg, PhD
HeadquartersSan Francisco, California, United States
Websitehttp://unanimous.ai/

Unanimous has deployed swarm-based technologies through a cloud-based server Swarm.ai, (formally UNU) which enables online groups to answer questions, reach decisions, and make predictions by thinking together as a unified intelligence.[4][5][6][7][8][9] This process has been shown to produce significantly improved decisions, predictions, estimations, and forecasts, as demonstrated when predicting major events such as the Kentucky Derby, the Oscars, the Stanley Cup, Presidential Elections, and the World Series.[10][11][12][5][13]

Unanimous is also the provider of Swarm Insight and Swarm IQ, two on-demand intelligence services using their SaaS platform called Swarm. In 2018, Swarm AI technology from Unanimous won the Best AI and Machine Learning Technology Award at the South by Southwest (SXSW 2018) Innovation Awards, as well as winning the overall Best in Show Award for technology at SXSW 2018.[14] In 2018, Unanimous AI also made headlines with Stanford University School of Medicine by amplifying the intelligence of medical doctors using the Swarm platform, enabling significantly more accurate diagnoses than traditional methods or deep learning.[15][16][17] A follow-up research study, published in the Journal Nature Digital Medicine in 2019 demonstrated that Swarm AI technology could work in combination with Deep Learning technology to produce diagnostic accuracy that exceeds each technology independently.[18]

Building a "Hive Mind" using Swarm AI technology

In 2019, the Swarm platform from Unanimous AI was featured on the Amazon Original Series, Giant Beast That is The Global Economy, starring Kal Penn and showcasing inventor Louis Rosenberg. In the episode, Amazon producers brought in a group of random people from the general public and had them use Swarm to forecast box-office results for summer movies (2018). As shown in the episode, the group of people, connected together into a "hive mind" using the Swarm software, correctly forecasted that Incredibles 2 was going to significantly outperform other highly anticipated films at the box-office, including Solo: A Star Wars Story and Jurassic World: Fallen Kingdom.[19][20]

In 2020, Unanimous AI made national headlines by publishing a highly accurate forecast for the 2020 Presidential Election. As noted by the Wall Street Journal, Unanimous AI used its Swarm software platform to correctly predict the winner of all 11 battleground states, significantly outperforming traditional polling.[21] In 2020, Unanimous AI also made headlines for correctly predicting the winner of the 2020 World Series prior to the start of the Major League Baseball season as published by Engadget in before opening day.[22]

History

Unanimous AI was founded by entrepreneur and inventor, Louis Rosenberg, as a means of building intelligent systems that keep human values, morals, wisdom, and sensibilities deeply embedded in the process.[23] [24] By keeping people "in the loop", swarm-based systems may prove safer in the long term than traditional approaches to AI[25][26][27][28]

swarm.ai

Unanimous AI has deployed a "human swarming" platform known as "swarm.ai" (formally called UNU) that allows distributed groups of users to login from anywhere in the world and think together as real-time closed-loop systems to answer questions, make predictions, generate ideas, and reach decisions.[29][30][31]

Example of a networked human group working together in real-time as an Artificial Swarm Intelligence (i.e. "hive mind").


2016 Kentucky Derby

Challenged by a reporter with TechRepublic, Hope Reese, Unanimous AI used their Swarm AI system to predict the winners of the 2016 Kentucky Derby. The Swarm's single pick for the top four horses was published by TechRepublic on May 6, 2016.[29] The following day, the race was won and the four horses that had been picked (Nyquist, Exaggerator, Gun Runner, and Mohaymen) finished in the exact order that the system predicted and that TechRepublic published. The odds for making such a pick were 542 to 1, which would yield $54,000 on a $100 bet.[32] Hope documented her own bet of $1, which earned $540.[33][34][35]

Medical Applications

In 2018, Unanimous AI, in collaboration with researchers at Stanford University Medical School, conducted a series of trials wherein small groups of radiologists were connected together into "hive minds" using Swarm software. As reported in IEEE Spectrum, and published at Society for Medical Imaging Informatics in Medicine (SIIM)’s Machine Intelligence conference, results showed that when thinking together in swarms, diagnostic errors were reduced by over 30%.[36][37][38][39][40]

References
  1. Scudellari, Megan (2018-09-13). "AI-Human "Hive Mind" Diagnoses Pneumonia". IEEE Spectrum: Technology, Engineering, and Science News. Retrieved 2019-03-05.
  2. "Unanimous AI launches Swarm, a platform for 'amplifying' business decision-making with AI, in beta". VentureBeat. 2019-03-05. Retrieved 2019-03-05.
  3. Gent, Edd (May 13, 2020). "How AI can help us harness our Collective Intelligence". www.bbc.com.
  4. Cuthbertson, Anthony (February 2, 2016). "Oscar Predictions: AI Calculates Leonardo DiCaprio Will Finally Get His Oscar". Newsweek.
  5. Rosenberg, L.; Baltaxe, D.; Pescetelli, N. (2016-10-01). "Crowds vs swarms, a comparison of intelligence". 2016 Swarm/Human Blended Intelligence Workshop (SHBI): 1–4. doi:10.1109/SHBI.2016.7780278. ISBN 978-1-5090-3502-1.
  6. Rosenberg, Louis; Pescetelli, Niccolo (2017). "Amplifying prediction accuracy using Swarm A.I.". 2017 Intelligent Systems Conference (IntelliSys): 61–65. doi:10.1109/intellisys.2017.8324329. ISBN 978-1-5090-6435-9.
  7. "How AI systems beat Vegas oddsmakers in sports forecasting accuracy". TechRepublic. Retrieved 2018-09-10.
  8. "This Startup Correctly Predicted the Oscars, World Series, and Super Bowl. Here's What It's Doing Next". Inc.com. 2018-06-14. Retrieved 2018-09-10.
  9. "Unanimous AI achieves 22% more accurate pneumonia diagnoses". VentureBeat. 2018-09-10. Retrieved 2018-09-10.
  10. "Artificial intelligence predicts Leonardo DiCaprio will finally win his Oscar". Newsweek. 2016-02-26. Retrieved 2017-01-27.
  11. Rosenberg, Louis (September 29, 2015). "Human swarming, a real-time method for parallel distributed intelligence". IEEE Xplore. doi:10.1109/SHBI.2015.7321685.
  12. Rosenberg, Louis (July 29, 2015). "Human Swarms, a real-time method for collective intelligence". The MIT Press. Archived from the original on October 27, 2015.
  13. "Artificial intelligence turns $20 into $11,000 in Kentucky Derby bet". Newsweek. 2016-05-10. Retrieved 2017-01-27.
  14. "SXSW Innovation Award Winners (2018)".
  15. "Unanimous AI achieves 22% more accurate pneumonia diagnoses". VentureBeat. 2018-09-10. Retrieved 2018-10-20.
  16. "AI-Human "Hive Mind" Diagnoses Pneumonia". IEEE Spectrum: Technology, Engineering, and Science News. Retrieved 2018-10-20.
  17. "Artificial swarm intelligence diagnoses pneumonia better than individual computer or doctor". The Stanford Daily. 2018-09-27. Retrieved 2018-10-20.
  18. Patel, Bhavik N.; Rosenberg, Louis; Willcox, Gregg; Baltaxe, David; Lyons, Mimi; Irvin, Jeremy; Rajpurkar, Pranav; Amrhein, Timothy; Gupta, Rajan; Halabi, Safwan; Langlotz, Curtis (2019-11-18). "Human–machine partnership with artificial intelligence for chest radiograph diagnosis". npj Digital Medicine. 2 (1): 1–10. doi:10.1038/s41746-019-0189-7. ISSN 2398-6352.
  19. "IMDB - "The Giant Beast That is the Global Economy" - Episode 4 - A.I. Is the uture".
  20. Blaschka, Amy. "Three Lessons The Birds And The Bees (And Amazon Prime Video) Can Teach Us About EQ And AI". Forbes. Retrieved 2019-07-01.
  21. McCormick, Jared Council and John (2020-11-06). "Artificial Intelligence Shows Potential to Gauge Voter Sentiment". Wall Street Journal. ISSN 0099-9660. Retrieved 2020-11-11.
  22. "AI predicts a Dodgers World Series win after a COVID-shortened season". Engadget. Retrieved 2020-11-11.
  23. Bryant, Martin (February 15, 2016). "Unanimous AI treats humans like bees to make better decisions". The Next Web.
  24. Oxenham, Simon (December 15, 2016). "Why bees could be the secret to superhuman intelligence". www.bbc.com.
  25. Freiherr, Greg (December 12, 2015). "How to build a better, safer artificial intelligence". CIO.
  26. Rosenberg, Louis (November 22, 2015). "How swarm intelligence could save us from the dangers of AI". Venture Beat.
  27. "Keeping up With AI: Why Humanity Must Cultivate a 'Hive Mind'". Futurism. 2016-04-27. Retrieved 2017-01-27.
  28. "Super-Intelligence and the virtues of a "Hive Mind"". Singularity Weblog. 2016-02-10. Retrieved 2017-01-27.
  29. Reese, Hope (January 22, 2016). "How 'artificial swarm intelligence' uses people to make better predictions than experts". Tech Republic.
  30. Engelking, Carl (March 14, 2016). "Let Swarm Intelligence Optimize Your Tournament Bracket". Discover.
  31. "Kentucky Derby Partnering With AI Company That Correctly Predicted Last Year's Superfecta".
  32. Lintner, Jonathan (May 8, 2016). "Kentucky Derby payouts, full order of finish". Courier-Journal.
  33. Gunaratana, Shanika (May 10, 2016). "Artificial intelligence:Key to Kentucky Derby betting?". CBS News.
  34. Cuthbertson, Anthony (May 10, 2016). "Artificial Intelligence Turns $20 Into $11,000 In Kentucky Derby Bet". Newsweek.
  35. Schwartz, Ariel (May 9, 2016). "A 'human swarm' predicted the winners of the Kentucky Derby at 540 to 1 odds". Tech Insider.
  36. Scudellari, Megan (September 18, 2018). "AI-Human "Hive Mind" Diagnoses Pneumonia". IEEE Spectrum.
  37. Thakar, Subrata (September 11, 2018). "AI Hive Mind Connects Groups of Radiologists". Radiology Business. Retrieved June 14, 2019.
  38. "Swarm Intelligence Diagnoses Pneumonia Better Than Individual Computer or Doctor". The Stanford Daily.
  39. Orenstein, Beth. "A Swarm of Insight". Radiology Today.
  40. Halabi, Safwan. "Radiology SWARM" (PDF). 2018 SIIM Conference on Machine Intelligence and Medical Imaging.
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