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Robin Burke

@rburke@hci.social

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Professor, Information Science @ CU Boulder. Birthright citizen. Researching #recsys fairness and multistakeholder aspects.

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Joined December 20, 2022

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Robin Burke @rburke@hci.social

· 15mo ago

Congrats to @Anas@hci.social for his presentation at the FairUMAP workshop yesterday. Here he is engaging in the panel discussion with the other presenters in this session. His paper “Simulating the Algorithm Store: Multistakeholder Impacts of Recommender Choice” is here: https://dl.acm.org/doi/10.1145/3708319.3733705

hci.social

Anas Buhayh (@Anas@hci.social) - 🌱 hci.social

Robin Burke @rburke@hci.social

· 21mo ago

CALL FOR PAPERS: T-RRS: Workshop on Trust & Responsibility in Recommendation Systems. To be held at WSDM 2025, Hannover, Germany (March 10 -- 14)
Deadline February 15.
More info and full CFP at https://sites.google.com/view/t-rrs

sites.google.com

Robin Burke @rburke@hci.social

· 39mo ago

@ntnsndr@social.coop Stay tuned for our next project meeting…

Robin Burke @rburke@hci.social

· 36mo ago

Usual caveats (not peer reviewed and the metric is a bit ad hoc) but it is interesting to see that models with more parameters tend to generate more misinformation.

https://arxiv.org/abs/2310.04988

arXiv.org

The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations

The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has parallelly emerged as a by-product, posing significant concerns. While some recent endeavors have been made to identify and mitigate different types of hallucination, there has been a limited emphasis on the nuanced categorization of hallucination and associated mitigation methods. To address this gap, we offer a fine-grained

Robin Burke @rburke@hci.social

· 37mo ago

Anybody else looking at the NSF AI Institutes call (https://www.nsf.gov/pubs/2023/nsf23610/nsf23610.htm) and thinking that "Strengthening AI" should mean "effective democratic governance and accountability"? Cannot lead PI but would be interested in joining forces.

nsf.gov