Artificial wisdom
Artificial wisdom is a software system that can demonstrate one or more qualities of being wise.
Artificial wisdom can be described as artificial intelligence reaching the top-level of decision-making when confronted with the most complex challenging situations.[1] The term artificial wisdom is used when the "intelligence" is based on more than by chance collecting and interpreting data, but by design[2] enriched with smart and conscience strategies that wise people would use.[3]
When examining computer-aided wisdom; the partnership of artificial intelligence and contemplative neuroscience, concerns regarding the future of artificial intelligence shift to a more optimistic viewpoint..[4]
References
- "Intelligent Decision Making: An AI-Based Approach". Studies in Computational Intelligence. Vol. 97. Springer. 2008. doi:10.1007/978-3-540-76829-6. ISBN 978-3-540-76828-9. ISSN 1860-949X.
- Suarez, Juan Francisco (2014). "Wise by Design: A Wisdom-Based Framework for Innovation and Organizational Design and its Potential Application in the Future of Higher Education". Dissertations & Theses Antioch University: 131.
- Wang, Feng-Hsu (2011). "Personalized recommendation for web-based learning based on ant colony optimization with segmented-goal and meta-control strategies". IEEE International Conference on Fuzzy Systems: 2054–2059. doi:10.1109/FUZZY.2011.6007628. ISBN 978-1-4244-7315-1. S2CID 33702266.
- Karamjit, Gill (2013). "Citizens and netizens: a contemplation on ubiquitous technology". AI & Society. 28 (2): 131–132. doi:10.1007/s00146-013-0451-5.
Further reading
- Casacuberta Sevilla, David (2013). "The quest for artificial wisdom". AI & Society. 28 (2): 199–207. doi:10.1007/s00146-012-0390-6. S2CID 17183036.
- Davis, Joshua P. (2019). "Artificial wisdom? A potential limit on AI in law (and elsewhere)". Oklahoma Law Review. 72 (1). doi:10.2139/ssrn.3350600. S2CID 172032989.
- Tsai, Cheng-hung (2020). "Artificial wisdom: a philosophical framework". AI & Society. 35 (4): 937–944. doi:10.1007/s00146-020-00949-5. S2CID 211234659.
- Siddike M.A.K., Iwano K., Hidaka K., Kohda Y., Spohrer J. (2018). "Wisdom Service Systems: Harmonious Interactions Between People and Machine". Advances in Intelligent Systems and Computing. 601: 115–127. doi:10.1007/978-3-319-60486-2_11. ISBN 978-3-319-60485-5.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - Gopnik, Alison (June 2017). "An AI That Knows the World Like Children Do". Scientific American. 316 (6): 60–65. doi:10.1038/scientificamerican0617-60. PMID 28510556.
- Marcus, Gary (March 2017). "The Search for a New Test of Artificial Intelligence". Scientific American. 316 (3): 58–63. doi:10.1038/scientificamerican0317-58. PMID 28207697.
A stumbling block to AI has been an incapacity for reliable disambiguation. An example is the "pronoun disambiguation problem": a machine has no way of determining to whom or what a pronoun in a sentence refers.
- San Segundo, Rosa (2002). "A new concept of knowledge". Online Information Review. 26 (4): 239–245. doi:10.1108/14684520210438688. hdl:10016/4490.
- Musser, George (May 2019). "Machine Learning Gets a Bit More Humanlike". Scientific American. 320 (5): 58–64. doi:10.1038/scientificamerican0519-58 (inactive 31 December 2022).
{{cite journal}}: CS1 maint: DOI inactive as of December 2022 (link) - Serenko, Alexander; Michael Dohan (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence" (PDF). Journal of Informetrics. 5 (4): 629–649. doi:10.1016/j.joi.2011.06.002.
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