Engineering:Artificial wisdom
 | This article may be confusing or unclear to readers. (February 2021) (Learn how and when to remove this template message) |
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. 97. Springer. 2008. doi:10.1007/978-3-540-76829-6. ISBN 978-3-540-76828-9.
- ↑ 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. http://aura.antioch.edu/etds/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.
- ↑ 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.
- 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. https://digitalcommons.law.ou.edu/cgi/viewcontent.cgi?article=1377&context=olr.
- Tsai, Cheng-hung (2020). "Artificial wisdom: a philosophical framework". AI & Society 35 (4): 937–944. doi:10.1007/s00146-020-00949-5.
- 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.
- 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. https://www.scientificamerican.com/article/an-ai-that-knows-the-world-like-children-do/.
- 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. https://www.scientificamerican.com/article/the-search-for-a-new-test-of-artificial-intelligence/. "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.
- Musser, George (May 2019). "Machine Learning Gets a Bit More Humanlike". Scientific American 320 (5): 58–64. doi:10.1038/scientificamerican0519-58. https://www.scientificamerican.com/article/machine-learning-gets-a-bit-more-humanlike/.
- Serenko, Alexander; Michael Dohan (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence". Journal of Informetrics 5 (4): 629–649. doi:10.1016/j.joi.2011.06.002. http://www.aserenko.com/papers/JOI_AI_Journal_Ranking_Serenko.pdf.
 |  |
