Anthropic's AI architect argued that discrimination could combat stigmas
One of Anthropic’s artificial intelligence (AI) philosophy architects argued that intentional discrimination could be a way to combat stigmas on topics of race and gender. In a 2023 paper authored alongside a number of other AI researchers, Amanda Askell, a philosopher hired by Anthropic to develop their AI’s moral compass, argued companies might benefit from a kind of overcorrection toward stereotypes. But, the paper explained, that would require human input on how to modify its answers.
- ▪One of Anthropic’s artificial intelligence (AI) philosophy architects argued that intentional discrimination could be a way to combat stigmas on topics of race and gender.
- ▪In a 2023 paper authored alongside a number of other AI researchers, Amanda Askell, a philosopher hired by Anthropic to develop their AI’s moral compass, argued companies might benefit from a kind of overcorrection toward stereotypes.
- ▪But, the paper explained, that would require human input on how to modify its answers.
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Record
| Original publisher | Europe People |
| Canonical URL | https://www.europesays.com/people/38239/ |
| Publication time | Mon, 14 Sep 2026 20:48:52 +0000 |
| Retrieval time | 2026-09-14T21:01:51.584Z |
| Last seen | 2026-09-14T21:01:51.584Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | MnMb8HBCUGfV · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
One of Anthropic’s artificial intelligence (AI) philosophy architects argued that intentional discrimination could be a way to combat stigmas on topics of race and gender. In a 2023 paper authored alongside a number of other AI researchers, Amanda Askell, a philosopher hired by Anthropic to develop their AI’s moral compass, argued companies might benefit from a kind of overcorrection toward stereotypes. But, the paper explained, that would require human input on how to modify its answers. “Larger models can over-correct, especially as the amount of [human input] training increases. This may be desirable in certain contexts, such as those in which decisions attempt to correct for historical injustices against marginalized groups, if doing so is in accordance with local laws,” Askell wrote.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Europe People.
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