Cover of The Alignment Problem

The Alignment Problem

by Brian Christian · first published 2020

12mentions
7recommended by
11HN commenters
2021–2026first – last mentioned

64% recommend36% neutral

Why HN recommends it

Readable, well-written overview of machine learning and human values, covering the history and pitfalls of different ML approaches; suits readers new to AI safety and product or policy people wanting a grounded picture.

Summarised by Claude from recommending comments

"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And aut

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Mentions per year

30 2007: 0 mentions2008: 0 mentions2009: 0 mentions2010: 0 mentions2011: 0 mentions2012: 0 mentions2013: 0 mentions2014: 0 mentions2015: 0 mentions2016: 0 mentions2017: 0 mentions2018: 0 mentions2019: 0 mentions2020: 0 mentions2021: 2 mentions2022: 2 mentions2023: 1 mention2024: 3 mentions2025: 2 mentions2026: 1 mention200720172026

What Hacker News says

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