Abstract
We will soon be surrounded by artificial systems capable of cognitive performance rivaling or exceeding a human expert in specific domains of discourse. However, these “cogs” need not be capable of full general artificial intelligence nor able to function in a stand-alone manner. Instead, cogs and humans will work together in collaboration each compensating for the weaknesses of the other and together achieve synthetic expertise as an ensemble. This paper reviews the nature of expertise, the Expertise Level to describe the skills required of an expert, and knowledge stores required by an expert. By collaboration, cogs augment human cognitive ability in a human/cog ensemble. This paper introduces six Levels of Cognitive Augmentation to describe the balance of cognitive processing in the human/cog ensemble. Because these cogs will be available to the mass market via common devices and inexpensive applications, they will lead to the Democratization of Expertise and a new cognitive systems era promising to change how we live, work, and play. The future will belong to those best able to communicate, coordinate, and collaborate with cognitive systems.
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References
Chapman, S.: Blaise Pascal (1623–1662) Tercentenary of the calculating machine. Nature 150, 508–509 (1942)
Hooper, R.: Ada Lovelace: My brain is more than merely mortal. New Scientist (2015). https://www.newscientist.com/article/dn22385-ada-lovelace-my-brain-is-more-than-merely-mortal. Accessed Nov 2015
Isaacson, W.: The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution. Simon & Schuster, New York (2014)
Bush, V.: As We May Think. The Atlantic, July 1945
Ashby, W.R.: An Introduction to Cybernetics. Chapman and Hall, London (1956)
Apple: Knowledge Navigator. You Tube (1987). https://www.youtube.com/watch?v=JIE8xk6Rl1w. Accessed Apr 2016
Jackson, J.: IBM Watson Vanquishes Human Jeopardy Foes. PC World (2015). http://www.pcworld.com/article/219893/ibm_watson_vanquishes_human_jeopardy_foes.html. Accessed May 2015
Ferrucci, D.A.: Introduction to this is Watson. IBM J. Res. Dev. 56(3/4) (2012)
Ferrucci, D., et al.: Building Watson: an overview of the DeepQA project. AI Mag. 31(3), 59–79 (2010)
Wladawsky-Berger, I.: The Era of Augmented Cognition. The Wall Street Journal: CIO Report (2015). http://blogs.wsj.com/cio/2013/06/28/the-era-of-augmented-cognition/. Accessed May
Gil, D.: Cognitive systems and the future of expertise. YouTube (2019). https://www.youtube.com/watch?v=0heqP8d6vtQ. Accessed May 2019
Kelly, J.E., Hamm, S.: Smart Machines: IBMs Watson and the Era of Cognitive Computing. Columbia Business School Publishing, Columbia University Press, New York (2013)
Silver, D., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529, 484 (2016)
DeepMind: The story of AlphaGo so far. DeepMind (2018). https://deepmind.com/research/alphago/. Accessed Feb 2018
DeepMind: AlphaGo Zero: learning from scratch. DeepMind (2018). https://deepmind.com/blog/alphago-zero-learning-scratch/. Accessed Feb 2018
ChessBase: AlphaZero: Comparing Orangutans and Apples. ChessBase (2018). https://en.chessbase.com/post/alpha-zero-comparing-orang-utans-and-apples. Accessed Feb 2018
Licklider, J.C.R.: Man-computer symbiosis. IRE Trans. Hum. Factors Electron. HFE-1, 4–11 (1960)
Engelbart, D.C.: Augmenting Human Intellect: A Conceptual Framework. Summary Report AFOSR-3233. Stanford Research Institute, Menlo Park, CA, October 1962
Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)
Newell, A.: The knowledge level. Artif. Intell. 18(1), 87–127 (1982)
Chase, W., Simon, H.: Perception in chess. Cogn. Psychol. 4, 55–81 (1973)
Steels, L.: Components of expertise. AI Mag. 11(2), 28 (1990)
Genesereth, M., Nilsson, N.: Logical Foundations of Artificial Intelligence. Morgan Kaufmann, Burlington (1987)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Pearson, London (2009)
Laird, J.E.: The SOAR Cognitive Architecture. The MIT Press, Cambridge (2012)
Bloom, B.S., Engelhart, M.D., Furst, E.J., Hill, W.J., Krathwohl, D.R.: Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain. David McKay Company, New York (1956)
Anderson, L.W., Krathwohl, D.R. (eds): A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives (2001)
Fulbright, R.: Cognitive augmentation metrics using representational information theory. In: Schmorrow, D.D., Fidopiastis, C.M. (eds.) AC 2017. LNCS (LNAI), vol. 10285, pp. 36–55. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58625-0_3
Fulbright, R.: On measuring cognition and cognitive augmentation. In: Yamamoto, S., Mori, H. (eds.) HIMI 2018. LNCS, vol. 10905, pp. 494–507. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92046-7_41
Fulbright, R.: Calculating cognitive augmentation – a case study. In: Schmorrow, D.D., Fidopiastis, C.M. (eds.) HCII 2019. LNCS (LNAI), vol. 11580, pp. 533–545. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22419-6_38
Fulbright, R.: How personal cognitive augmentation will lead to the democratization of expertise. In: Fourth Annual Conference on Advances in Cognitive Systems, Evanston, IL, June 2016. http://www.cogsys.org/posters/2016. Accessed Jan 2017
Fulbright, R.: The cogs are coming: the coming revolution of cognitive computing. In: Proceedings of the 2016 Association of Small Computer Users in Education (ASCUE) Conference, June 2016
Fulbright, R.: ASCUE 2067: how we will attend posthumously. In: Proceedings of the 2017 Association of Small Computer Users in Education (ASCUE) Conference, June 2017
Gobet, F.: Understanding Expertise: A Multidisciplinary Approach. Palgrave, London (2016)
Gobet, F., Simon, H.: Five seconds or sixty? Presentation time in expert memory. Cogn. Sci. 24(4), 651–682 (2000)
Gobet, F., Chassy, P.: Expertise and intuition: a tale of three theories. Minds Mach. 19, 151–180 (2009). https://doi.org/10.1007/s11023-008-9131-5
Dreyfus, H.L.: What Computers Can’t Do: A Crtique of Artificial Reason. The MIT Press, Cambridge (1972)
Dreyfus, H.L., Dreyfus, S.E.: Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer. Free Press, New York (1988)
Minsky, M.: Frame-system theory. In: Johnson-Laird, P.N., Watson, P.C. (eds.) Thinking, Readings in Cognitive Science. Cambridge University Press, Cambridge (1977)
Wehner, M.: AI is now better at predicting mortality than human doctors. New York Post, 14 May 2019. https://nypost.com/2019/05/14/ai-is-now-better-at-predicting-mortality-than-human-doctors/?utm_campaign=partnerfeed&utm_medium=syndicated&utm_source=flipboard. Accessed June 2019
Lavars, N.: Machine learning algorithm detects signals of child depression through speech. New Atlas, 7 May 2019. https://newatlas.com/machine-learning-algorithm-depression/59573/. Accessed June 2019
Sandoiu, A.: Artificial intelligence better than humans at spotting lung cancer. Medical News Today Newsletter, 20 May 2019. https://www.medicalnewstoday.com/articles/325223.php#1. Accessed Nov 2019
Towers-Clark, C.: The Cutting-Edge of AI Cancer Detection. Forbes, 30 April 2019. https://www.forbes.com/sites/charlestowersclark/2019/04/30/the-cutting-edge-of-ai-cancer-detection/#45235ee7733. Accessed June 2019
Gregory, M.: AI Trained on Old Scientific Papers Makes Discoveries Humans Missed. Vice (2019). https://www.vice.com/en_in/article/neagpb/ai-trained-on-old-
De Groot, A.D.: Thought and Choice in Chess. Mouton, The Hague (1965)
Fulbright, R.: The expertise level. In: Schmorrow, D.D., Fidopiastis, C.M. (eds.) HCI 2020. LNAI, vol. 12197, pp. 49–68. Springer, Cham (2020)
Haenssle, H.A., et al.: Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Ann. Oncol. 29(8), 1836–1842 (2018). https://academic.oup.com/annonc/article/29/8/1836/5004443. Accessed Nov 2019
Abràmoff, M.D., Lavin, P.T., Birch, M., Shah, N., Folk, J.C.: Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. Digit. Med. 1, 39 (2018)
Harper, R.: The role of HCI in the age of AI. Int. J. Hum.-Comput. Interact. 35 (2019). https://www.tandfonline.com/doi/abs/10.1080/10447318.2019.1631527. Accessed Jan 2020
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Fulbright, R., Walters, G. (2020). Synthetic Expertise. In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition. Human Cognition and Behavior. HCII 2020. Lecture Notes in Computer Science(), vol 12197. Springer, Cham. https://doi.org/10.1007/978-3-030-50439-7_3
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