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The Age of Artificial Intelligence, also known as the AI Era[1][2][3][4] or the Cognitive Age,[5][6] is a historical period characterized by the rapid development and widespread integration of artificial intelligence (AI) technologies across various aspects of society, economy, and daily life. Artificial intelligence is the development of computer systems enabling machines to learn, and make intelligent decisions to achieve a set of defined goals.[7]
MIT physicist Max Tegmark was one of the first people to use the term "Age of Artificial Intelligence" in his 2017 non-fiction book Life 3.0: Being Human in the Age of Artificial Intelligence.[8][9]
This era is marked by significant advancements in machine learning, data processing, and the application of AI in solving complex problems and automating tasks previously thought to require human intelligence.[7][10]
British neuroscientist Karl Friston's work on the free energy principle is widely seen as foundational to the Age of Artificial Intelligence, providing a theoretical framework for developing AI systems that closely mimic biological intelligence.[11] The concept has gained traction in various fields, including neuroscience and technology.[12] Many specialists place its beginnings in the early 2010s, coinciding with significant breakthroughs in deep learning and the increasing availability of big data, optical networking, and computational power.[13][14]
- ^ Yang, Wang (2024-06-26). "Transformative AI era must be handled with wisdom and responsibility". South China Morning Post. Retrieved 2025-02-11.
- ^ Marr, Bernard (2024-09-27). "How To Embrace The Enterprise AI Era". Forbes. Retrieved 2025-02-11.
- ^ "Living in a brave new AI era" (PDF). Nature Human Behaviour. 7 (11): 1799–1799. 2023-11-20. doi:10.1038/s41562-023-01775-7. ISSN 2397-3374. Retrieved 2025-02-11.
- ^ Bellas, Francisco; Naya-Varela, Martin; Mallo, Alma; Paz-Lopez, Alejandro (2024-10-25). "Education in the AI era: a long-term classroom technology based on intelligent robotics". Humanities and Social Sciences Communications. 11 (1). doi:10.1057/s41599-024-03953-y. ISSN 2662-9992.
- ^ Nosta, John (2023-07-29). "AI as Cognitive Partner: A New Cognitive Age Dawns". Psychology Today. Retrieved 2025-02-11.
- ^ Nosta, John (2024-09-24). "Think Fast: The Rapid Rise of AI and the Cognitive Age". Psychology Today. Retrieved 2025-02-11.
- ^ a b Cite error: The named reference
pearsonwas invoked but never defined (see the help page). - ^ High, Peter (2019-01-07). "Max Tegmark Hopes To Save Us From AI's Worst Case Scenarios". Forbes. Retrieved 2025-02-11.
- ^ Tegmark, Max (2017). Life 3.0: Being Human in the Age of Artificial Intelligence (1st ed.). New York: Knopf. ISBN 9781101946596. OCLC 973137375.
- ^ Sarker IH (2022). "AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems". SN Comput Sci. 3 (2): 158. doi:10.1007/s42979-022-01043-x. PMC 8830986. PMID 35194580.
- ^ Raviv, Shaun (2018-11-13). "The Genius Neuroscientist Who Might Hold the Key to True AI". WIRED. Retrieved 2025-02-11.
- ^ Occhipinti, Jo-An; Prodan, Ante; Hynes, William; Eyre, Harris A.; Schulze, Alex; Ujdur, Goran; Tanner, Marcel (2024). "Navigating a stable transition to the age of intelligence: A mental wealth perspective". iScience. 27 (5): 109645. doi:10.1016/j.isci.2024.109645. PMC 11024996. PMID 38638562.
- ^ Bostrom, Nick (2014). Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press. ISBN 978-0-19-967811-2. OCLC 881706835.
- ^ Sheikh, Haroon; Prins, Corien; Schrijvers, Erik (2023). "Artificial Intelligence: Definition and Background". Mission AI. Cham: Springer International Publishing. p. 15–41. doi:10.1007/978-3-031-21448-6_2. ISBN 978-3-031-21447-9.