Historiographical Trajectory of Artificial Intelligence: Contexts and Influences
Keywords:
history of science, artificial intelligence, social influences, social and work psychology, historiographyAbstract
The history of artificial intelligence (AI) spans various contexts, including culture, science, businesses, and government. Over time, theoretical advances have guided technological research, propelling development in six dimensions: capture, representation, storage, processing, modeling, and action. The integration of AI into society has entailed changes influenced by these four contexts. From myths and alchemy to the Industrial Revolution and the emergence of research institutions, AI has traversed cultures and commercial interests, shaping its course throughout history. This work provides an analysis of the trajectory of artificial intelligence, highlighting significant contributions that have shaped its development, aiming to identify the interests that have directed it. Understanding such interests can facilitate a technological and socio-political understanding over time, demystifying artificial intelligence as a recent subject and enabling critical analyses of its history.
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References
BUCHANAN, Bruce. A (Very) Brief History of Artificial Intelligence, em AI Magazine, v. 26, n. 4, p. 53-60, 2005.
Data Protection Laws of the World, por DLA Piper. Disponível em https://www.dlapiperdataprotection.com/.
DREYFUS, Hubert. Being-in-the-World: A Commentary on Heidegger’s Being and Time, Division I. Cambridge: MIT Press, 1991.
DREYFUS, Hubert. What Computers Can’t Do: The Limits of Artificial Intelligence. 1972. Disponível em https://archive.org/details/whatcomputerscan017504mbp/page/n7/mode/2up .
DREYFUS, Hubert. Why Heideggerian Artificial Intelligence failed and how fixing it would require making it more Heideggerian, em Philosophical Psychology. Londres: 2007.
DURAND, Gilbert. Champs de l’Imaginaire. Ellug, 1996. Tradução por Maria João Batalha Reis.
FAUR, Mirella. Ragnarök: o Crepúsculo dos Deuses. São Paulo: Cultrix, 2011.
FEIGENBAUM, Edward A.; FELDMAN, Julian. Computers and Thought. New York: McGraw-Hill, 1963.
FLEMING, Nic. Machine that can taste coffee invented, em The Telegraph, 2008. Disponível em telegraph.co.uk/news/science/science-news/3324864/Machine-that-can-taste-coffee-invented.html .
HEADRICK, Daniel. Technology: A World History. Oxford: Oxford University Press, 2009.
IDEL, Moshe. Golem: Jewish Magical and Mystical Traditions on the Artificial Anthropoid. Albany: State University of New York Press, 1990.
Introducing ChatGPT, por OpenAI, em 30/11/2022. Disponível em https://openai.com/blog/chatgpt .
JUNG, Carl. Alchemical Studies, em The Collected Works of C. G. Jung. Princeton: Princeton University Press, 1968.
MCCORDUCK, Pamela. Machines Who Think. Natick: A. K. Peters Ltd., 2004. Publicação original em 1979.
MCCULLOCH, Warren S.; PITTS, Walter H.. A Logical Calculus of the Ideas Immanent in Nervous Activity, em BODEN, Margaret A. (Org.). The Philosophy of Artificial Intelligence. Oxford: Oxford University Press, 1990. Publicação original de 1943.
MINSKY, Marvin. Semantic Information Processing. Cambridge: MIT Press, 1968.
NEUMANN, John von. First Draft of a Report on the EDVAC. University of Pennsylvania, 1945.
NOF, Shimon. Handbook of Industrial Robotics. Hoboken: Wiley, 1999.
NUNES, Luiz J.. Artifício: Um estudo introdutório dos aspectos psicossociais da artificialização das inteligências. São Paulo: Dialética, 2023.
ONGWESO JR., Edward. Everybody Please Calm Down About ChatGPT, no site Vice. 2022. Disponível em https://www.vice.com/en/article/everybody-please-calm-down-about-chatgpt/ .
OpenAI API, por OpenAI, em 11/06/2020. Disponível em https://openai.com/blog/openai-api .
PIAGET, Jean. Psychology of Intelligence. New Jersey: Littlefield, Adams & Co., 1960.
ROSENBLATT, Frank. The Perceptron: a Perceiving and Recognizing Automaton. Buffalo: Cornell Aeronautical Laboratory, Inc., 1957.
ROSENBLATT, Frank. The Perceptron: a Probabilistic Model for Information Storage and Organization in the Brain, em Psychological Review, v. 65, n. 6, p. 386-408, 1958.
RUSSELL, Stuart Jonathan & NORVIG, Peter. Artificial Intelligence: A Modern Approach. New Jersey: Prentice-Hall, 1995.
SCHANK, Roger; ABELSON, Robert. Scripts, Plans, Goals, and Understanding: an Inquiry into Human Knowledge Structures. Hillsdale: Erlbaum, 1977.
TURING, Alan M.. Computing machinery and intelligence, em Mind, número 49. Oxford: Oxford University Press, 1950.
WEIZENBAUM, Joseph. ELIZA: A Computer Program for the Study of Natural Language Communication Between Man and Machine. Cambridge: Massachusetts Institute of Technology, 1965.
WEIZENBAUM, Joseph. Computer Power and Human Reason. San Francisco: W. H. Freeman, 1976.
WINOGRAD, Terry. A Procedural Model of Language Understanding, em SCHANK, Roger & COLBY, Kenneth, Computer Models of Thought and Language. San Francisco: W. H. Freeman, 1973.
WU, Shijie, IRSOY, Ozan, LU, Steven, DABRAVOLSKI, Vadim, DREDZE, Mark, GEHRMANN, Sebastian, KAMBADUR, Prabhanjan, ROSENBERG, David & MANN, Gideon. BloombergGPT: A Large Language Model for Finance. 2023. Disponível em https://arxiv.org/abs/2303.17564 .
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