Our Impending (& Self-Inflicted) AI-Horror Boom

The world is growing more distrustful of AI, and it’s AI developers fault

Adam Brownell
Towards Data Science
10 min readFeb 17, 2022

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This is part 2 of our series on ML Fairness (link).

Previously, we discussed how ML teams rarely attempt to address societal bias in models due to a myriad of (weak) reasons.

In this article, we will explore the consequences of this neglect.

Thesis: Due to high-profile ML failures and mounting concerns about AI safety, public fear of bad AI and desire

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