A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence

By Michael Haenlein, Andreas M. Kaplan. California Management Review, 2019

1,890 citations recorded by the source corpus.

This introduction to this special issue discusses artificial intelligence (AI), commonly defined as “a system’s ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation.” It summarizes seven articles published in this special issue that present a wide variety of perspectives on AI, authored by several of the world’s leading experts and specialists in AI. It concludes by offering a comprehensive outlook on the future of AI, drawing on micro-, meso-, and macro-perspectives.

Subfields: Artificial Intelligence, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/8b835a6dedd55e57c2d5328b94b839faa25faca8

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Citations in the corpus

An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance (2021, background): “However, from the 1980 onwards, the commercialisation of expert systems in private organisations was noticed (Haenlein & Kaplan, 2019).”
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023, background): “Artificial intelligence (AI) is a multidisciplinary and interdisciplinary field that has grown tremendously since the introduction of manually operated computers in the 1950s (Haenlein & Kaplan, 2019).”
Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies? (2021, background): “On the other hand, Haenlein and Kaplan [21] stated that “although it is difficult to pinpoint the roots of AI, however, it is possible to trace back to the 1940s, specifically 1942, when the American Science Fiction writer Isaac Asimov published his short story Run around.”
Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, background): “Following the Dartmouth meeting, the field of AI experienced periods of expansion and retrench - ment ( Haenlein & Kaplan, 2019 ) leading to sporadic developments over the ensuing decades.”
Artificial Intelligence and Marketing: Pitfalls and Opportunities (2020, background): “Every time AI has failed to live up to its promises, the field has experienced twice what many call an “ AI winter ” (Haenlein & Kaplan, 2019), where AI initiatives go through a more inactive cycle, and investments in R&D decrease.”
GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry (2022, background): “Footnote 1 (continued) [29], who define AI as a system that correctly interprets and learns from external data, to achieve specific outcomes through flexible adaptation.”