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Robin Burke

@robin-burke.bsky.social

Professor, Information Science, CU Boulder. Recommender systems, FAccT

43 Posts273 Follower321 Folgt
Robin Burke@robin-burke.bsky.social · last mo.

Had a great conversation about fairness in recommender systems with Kyle Polich on the @data-skeptic.bsky.social podcast. We talked about how the challenges differ from other areas of ML and how to move beyond narrow formal concepts of fairness. Now live: dataskeptic.com/blog/episode...

Social Choice for Fair Recommendations

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems,...

dataskeptic.com

Robin Burke@robin-burke.bsky.social · 3mo ago

What if you asked about algorithmic fairness and people wanted to talk about something else? @fujirobledo.bsky.social tells that story in "Co-Designing Organizational Justice Indicators for Algorithmic Systems" appearing in FAccT 2026. (preview: arxiv.org/abs/2605.12643) #recsys #facct2026

Co-Designing Organizational Justice Indicators for Algorithmic Systems

Fairness in machine learning is often conceptualized narrowly in comparative, distributional terms. In studying stakeholders' concepts of fairness, we find that this framing is insufficient to capture...

arxiv.org

Robin Burke@robin-burke.bsky.social · 4mo ago

That Recommender Systems Lab at CU Boulder is presenting "Multistakeholder Impacts of Profile Portability in a Recommender Ecosystem" (preview here: arxiv.org/abs/2604.21750) at the UMAP conference in June. Great team effort led by @anasbuhayh.bsky.social ! #recsys #umap2026 1/3

Multistakeholder Impacts of Profile Portability in a Recommender Ecosystem

Optimizing outcomes for multiple stakeholders in recommender systems has historically focused on algorithmic interventions, such as developing multi-objective models or re-ranking results from existin...

arxiv.org

Dr. David Miller 🏳️‍🌈@davidimiller.bsky.social · last yr.

🧪 ICYMI: $25,000 bridge funding for terminated NSF grants. Major props for to the Spencer, Sloan, W. T. Grant, and Kapor Foundations for their swift action, even though we (and they) know this is a band-aid fix. Due May 30. Applications are brief: a 2-3 page memo of 6-month plans & other docs.

Rapid Response Bridge Funding Program

In the face of recent abrupt shifts in federal funding for education research, including large-scale terminations of National Science Foundation (NSF) research grant awards, we have developed a rap...

spencer.org

Brian Merchant@bcmerchant.bsky.social · 2y ago

Two years into the AI boom, it's imperative we understand the true power of "AGI"—as a narrative tool useful for winning investment, talent and headlines. My report for AI Now details how OpenAI used the story of a rising AI that will replace humans to replace the need for an actual business model.

AI Now Institute@ainowinstitute.bsky.social · 2y ago

Today, we published an article by @bcmerchant.bsky.social arguing that OpenAI is leaning on a flimsy presentation of AGI as its eventual business model––despite the lack of evidence it is a real possibility, or a viable profit pathway. Read: ainowinstitute.org/general/ai-g...

Ted Gioia@tedgioia.bsky.social · 2y ago

New study predicts that AI will steal almost a quarter of musicians’ income within the next 4 years (Source: CISAC). The gaslighting is over. Artists now fully grasp the AI business model—which is to destroy their livelihood and replace human music with bot slop.

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