The Collective Wisdom of the Crowd Must Include the Computer

The Collective Wisdom of the Crowd Must Include the Computer

John Nosta 01/07/2021
The Collective Wisdom of the Crowd Must Include the Computer

It's time we consider technology as a partner in our "collective intelligence."

Man versus machine.

That’s the typical battle that provides the fodder for philosophers and filmmakers alike. But the reality is that this battle may be better defined by the wisdom of John Nash and cooperative game theory rather than the dystopian perspective of physical and cognitive violence in which winner takes all. Throughout history, a collective effort, from sports to politics, has provided the basis for optimized coordination of both thought and task.

Leading the way is the MIT Center for Collective Intelligence. As their site explains, they "explore how people and computers can be connected so that – collectively – they act more intelligently than any person, group, or computer has ever done before." While the concept isn't new, it's a bold vision that is gaining traction in many areas. 

One example is medicine. Technology is beginning to provide a direct augmentation of human skill to establish a unique partnership between tech and the clinician. It's no longer one versus the other, but a unique partnership that "collectively, act more intelligently." We're seeing two interesting areas where tech is establishing a "superhuman" capability—microsurgery and AI. This is creating a new clinical "collective intelligence" where clinician and machine create a powerful synergy.

In clinical imaging and radiology, the use of artificial intelligence has been shown to improve the performance of radiologists in detecting various pathologies, particularly cancer. In a recent study in the Lancet, significant improvement was observed in stand-alone AI analysis and connective analysis with both AI and radiologist. The authors concluded: 

  • Of the 160 cancers, 142 (89%) were detected by AI with an abnormality score of at least 0·1 and 122 (76%) were detected by more than half of the reader group.
  • AI was significantly better than readers at detecting cancers with mass or distortion mammographic features.
  • AI detected 73 (91%) of 80 T1 cancers and 104 (87%) of 119 node-negative cancers with an abnormality score of at least 0.1, whereas 59 (74%) T1 cancers and 88 (74%) node-negative cancers were detected by more than half of readers. 

Surgery is another area in which AI and robotics may overcome human limitations in complex procedures. Published in Nature, the first robotic "supermicrosurgery" pushed the bounds of human skills by using the "surgical collective" of surgeon and machine. The study was a prospective, randomized analysis comparing robot-assisted and manual lymphatico-venous anastomosis in breast cancer-related lymphedema in 20 patients. In this pilot, a similar outcome was obtained in both groups. While the robot-assisted arm required additional time for the procedure (115 versus 81 minutes), the authors concluded a steep learning curve was responsibly for this discrepancy and should diminish with experience. 

People and computers are working together. Today, we see a real synergy emerge in which the results are superior to either working alone. Technical skill, cognitive capacity, fatigue, social bias and many other factors can be addressed and optimized to advance experiences and outcomes. The battle of man versus machine might be ending where cooperative engagement provides transformative solutions to a wide variety of problems and opportunities. The connections are powerful and yet enigmatic. They are creating a reality in which man and machine are inexorably connected for the benefit of humankind.

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John Nosta

Digital Health Expert

John is the #1 global influencer in digital health and generally regarded as one of the top global strategic and creative thinkers in this important and expanding area. He is also one the most popular speakers around the globe presenting his vibrant and insightful perspective on the future of health innovation. His focus is on guiding companies, NGOs, and governments through the dynamics of exponential change in the health / tech marketplaces. He is also a member of the Google Health Advisory Board, pens HEALTH CRITICAL for Forbes--a top global blog on health & technology and THE DIGITAL SELF for Psychology Today—a leading blog focused on the digital transformation of humanity. He is also on the faculty of Exponential Medicine. John has an established reputation as a vocal advocate for strategic thinking and creativity. He has built his career on the “science of advertising,” a process where strategy and creativity work together for superior marketing. He has also been recognized for his ability to translate difficult medical and scientific concepts into material that can be more easily communicated to consumers, clinicians and scientists. Additionally, John has distinguished himself as a scientific thinker. Earlier in his career, John was a research associate at Harvard Medical School and has co-authored several papers with global thought-leaders in the field of cardiovascular physiology with a focus on acute myocardial infarction, ventricular arrhythmias and sudden cardiac death.

   

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