mlsanityData to 7 Oct 2026

A brief history of AI: how to prevent another winter (a critical review)

arXiv 2109.01517 ↗First posted 3 Sep 2021cs.AI cs.CYcited by 8

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Abstract (arXiv)

The field of artificial intelligence (AI), regarded as one of the most enigmatic areas of science, has witnessed exponential growth in the past decade including a remarkably wide array of applications, having already impacted our everyday lives. Advances in computing power and the design of sophisticated AI algorithms have enabled computers to outperform humans in a variety of tasks, especially in the areas of computer vision and speech recognition. Yet, AI's path has never been smooth, having essentially fallen apart twice in its lifetime ('winters' of AI), both after periods of popular success ('summers' of AI). We provide a brief rundown of AI's evolution over the course of decades, highlighting its crucial moments and major turning points from inception to the present. In doing so, we attempt to learn, anticipate the future, and discuss what steps may be taken to prevent another 'winter'.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 5 of its 109 references that are in the map. First posted on arXiv 3 Sep 2021.

Builds on

5 of 109 references.

References · 5

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,543
  3. 2020Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scanscited by 158
  4. 2018Troubling Trends in Machine Learning Scholarshipcited by 107
  5. 2021The AI Index 2021 Annual Reportcited by 34

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 2; 2025: 3; 2026: 1.

8 papers.