Abstract

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.

Keywords

Variety (cybernetics)Adaptation (eye)Artificial intelligenceMacroComputer scienceApplications of artificial intelligenceManagement sciencePsychologyEngineering

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Publication Info

Year
2019
Type
article
Volume
61
Issue
4
Pages
5-14
Citations
2123
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

2123
OpenAlex
60
Influential
1729
CrossRef

Cite This

Michael Haenlein, Andreas Kaplan (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review , 61 (4) , 5-14. https://doi.org/10.1177/0008125619864925

Identifiers

DOI
10.1177/0008125619864925

Data Quality

Data completeness: 77%