Artificial wisdom
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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] This artificial wisdom forms the basis of Louis Molnar's monographic article on artificial philosophy, where he coined the term and proposes how artificial intelligence might view its place in the grand scheme of things [5].
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.
- ^ Molnar, Louis (2014). "A Step Beyond AI: Artificial Philosophy". Frontiers in Artificial Intelligence and Applications (10): 131–132. doi:10.13140/2.1.1124.6085.
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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