End AI Bias or Bust
In the episode of "The Unknowns," host Charlie Stone interviews Robbie Goldfarb, co-founder of Forum AI. A former Meta executive who worked on trust and safety at Facebook and Instagram, Goldfarb explores key challenges facing artificial intelligence today. Specifcally, how to minimize bias and build greater reliability into systems that increasingly influence how people understand the world. Goldfarb shares a central realization from his time at Meta. He explains that sheer computing power and enormous datasets fall short when it comes to delivering dependable answers in complex areas like politics, foreign affairs, mental health, and breaking news. "What A.I. is lacking is sound judgment," he told Stone, "grounded in input from a diverse group of leading experts." This insight led Goldfarb and Campbell Brown, a former CNN anchor and Meta executive, to launch Forum AI in late 2025. The New York-based company works to incorporate structured expert human insight into large language models. It functions as an external evaluation layer, assessing how models perform on intricate subjects and helping to screen out skewed or questionable results. Forum AI's Method: Leveraging Expert Insight to Tackle Bias Traditional approaches to labeling training data often miss subtleties around tone, fairness, context, and balancing different priorities. Forum AI takes a different route by convening a network of respected voices--including Fareed Zakaria, Niall Ferguson, Scott Jennings, Sa
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| Original publisher | Real Clear Politics |
| Canonical URL | https://www.realclearpolitics.com/video/2026/05/26/unknowns_host_charlie_stone_interviews_ai_expert_robbie_goldfarb_end_ai_bias_or_bust.html |
| Publication time | Wed, 27 May 2026 13:04:27 -0500 |
| Retrieval time | 2026-05-27T18:13:02.497Z |
| Last seen | 2026-05-27T18:13:02.497Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher description |
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| Summary | None yet |
| Summary source text | description |
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| Cluster | Aem-fWWqIhcv |
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| 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 |
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| 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.