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Open WebUI: An Open, Extensible, and Usable Interface for AI Interaction
Jaeryang Baek, Ayana Hussain, Danny Liu, Nicholas Vincent, Lawrence H. Kim
arXiv preprint Oct 2025
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If open source is to win, it must go public
Joshua Tan, Nicholas Vincent, Katherine Elkins, Magnus Sahlgren
CodeML @ ICML 2025 Jul 2025
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Epistemic Authority in AI Fact-Checking: A Human and Data Centric Perspective
Devansh Bhojak, Nicholas Vincent
4S 2025 Conference: Reverberations May 2025
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WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions
Zining Wang, Yuxuan Zhang, Dongwook Yoon, Nicholas Vincent, Farhan Samir, Vered Shwartz
arXiv preprint Apr 2025
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Step-By-Step Reasoning with Meta Cognitive Prompts to Reduce Contextual Hallucination
Brian Miki, Nicholas Vincent
HEAL Workshop @ CHI 2025 Apr 2025
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Canada as a Champion for Public AI: Data, Compute and Open Source Infrastructure for Economic Growth and Inclusive Innovation
Nicholas Vincent, Mark Surman, Jake Hirch-Allen
author preprint Apr 2025
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AI for Just Work: Constructing Diverse Imaginations of AI beyond "Replacing Humans"
Weina Jin, Nicholas Vincent, Ghassan Hamarneh
arXiv preprint Mar 2025
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Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure
Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey
AAAI 2025 Workshop on AIGOV Dec 2024
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A step forward in tracing and documenting dataset provenance
Nicholas Vincent
Nature Machine Intelligence, News & Views Aug 2024
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Designing an open-source LLM interface and social platforms for collectively driven LLM evaluation and auditing
Timothy J. Baek, Nicholas Vincent, Lawrence Kim
HEAL Workshop @ CHI 2024 May 2024
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The Need for Flexible Interfaces for Text-to-Image Auditing: A Case Study of DALL·E 2 and DALL·E 3
Clare Provenzano, Parsa Rajabi, Diana Cukierman, Nicholas Vincent
GenAICHI @ CHI 2024 May 2024
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An Alternative to Regulation: The Case for Public AI
Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan
RegML 2023 Workshop @ NeurIPS 2023 Nov 2023
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Sharing the Winnings of AI with Data Dividends: Challenges with 'Meritocratic' Data Valuation
Nicholas Vincent, Brent Hecht
EAAMO 2023 Poster Track Oct 2023
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Epistemic Injustice in Online Communities: Unpacking the Values of Knowledge Creation and Curation within CSCW Applications
Leah Ajmani, Mo Houtti, Jasmine C Foriest, Michael Ann Devito, Nicholas Vincent, Isaac Johnson
Workshop at CSCW Oct 2023
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Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?
Hanlin Li, Nicholas Vincent, Yacine Jernite, Nick Merrill, Jesse Josua Benjamin, Alek Tarkowski
Workshop at CSCW 2023 Oct 2023
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Ethical Tensions, Norms, and Directions in the Extraction of Online Volunteer Work
Hanlin Li, Leah Ajmani, Moyan Zhou, Nicholas Vincent, Sohyeon Hwang, Tiziano Piccardi, Sneha Narayan, Sherae Daniel, Veniamin Veselovsky
Workshop at CSCW Nov 2022
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Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users
Isaiah Jones, Brent Hecht, Nicholas Vincent
ACM CSCW Posters Nov 2022
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Collaborative Design of Contribution Tracking Systems for Decentralized Organizations
Nicholas Vincent, Christine Vandevoorde
CESC 2022 Oct 2022
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Twitter Engagement with Retracted Articles: Who, When, and How?
Rod Abhari, Nicholas Vincent, Henry K Dambanemuya, Herminio Bodon, Emőke-Ágnes Horvát
arXiv preprint Mar 2022
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From My Data to Our Data
Yakov Feygin, Nicholas Vincent, Hanlin Li, Chirag Lala, Luisa Scarcella
Book Chapter Oct 2021
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A Data Dividend that Works: Steps Toward Building an Equitable Data Economy
Yakov Feygin, Hanlin Li, Chirag Lala, Brent Hecht, Nicholas Vincent, Luisa Scarcella, Matthew Prewitt
Berggruen Institute white paper Apr 2021
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Mapping the Potential and Pitfalls of 'Data Dividends' as a Means of Sharing the Profits of Artificial Intelligence.
Nicholas Vincent, Yichun Li, Renee Zha, Brent Hecht
arXiv preprint Nov 2019
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Deep learning of tissue fate features in acute ischemic stroke
Noah Stier, Nicholas Vincent, David Liebeskind, Fabien Scalzo
BIBM 2015 Workshop on Biomedical Visual Search and Deep Learning Nov 2015
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Detection of hyperperfusion on arterial spin labeling using deep learning
Nicholas Vincent, Noah Stier, Songlin Yu, David S Liebeskind, Danny JJ Wang, Fabien Scalzo
BIBM 2015 Workshop on Biomedical Visual Search and Deep Learning Nov 2015
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