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When AI Goes Astray: High-Profile Machine Learning Mishaps in the Real World
A tour of infamous machine learning blunders and failures that caught the world’s attention
The transformative potential of artificial intelligence (AI) and machine learning has often made headlines in the news, with plenty of reports on its positive impact in diverse fields ranging from healthcare to finance.
Yet, no technology is immune to missteps. While the success stories paint a picture of machine learning's wonderful capabilities, it is equally crucial to highlight its pitfalls to understand the full spectrum of its impact.
In this article, we explore numerous high-profile machine learning blunders so that we can draw lessons for more informed implementations in the future.
Contents
In particular, we will look at a noteworthy case from each of the following categories:
(1) Classic Machine Learning
(2) Computer Vision
(3) Forecasting
(4) Image Generation
(5) Natural Language Processing
(6) Recommendation Systems
A comprehensive compilation of high-profile machine learning mishaps can be found in the following GitHub repo called Failed-ML:
