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Nicholas Vincent

Assistant Professor · School of Computing Science , Simon Fraser University

Responsible AI, human-computer interaction, machine learning, social computing

Prof. Nick Vincent is an Assistant Professor in Computing Science at Simon Fraser University. He studies the content ecosystems and data supply chains that fuel data-dependent technologies like search engines, recommender systems, and generative AI. This involves exploring avenues for people to control how data flows and participate in the governance of AI systems. The overarching goal of this research is to work towards highly capable and widely beneficial AI technologies that mitigate -- rather than exacerbate -- inequalities in wealth and power.

Notes

Prospective students: Not currently recruiting.
student wins: recent papers in FAccT, ICML, C&C -​- more info to come soon

Publications

Peer Reviewed

Filter by venue
  • If open source is to win, it must go public

    Joshua Tan, Nicholas Vincent, Katherine Elkins, Magnus Sahlgren, Joseph Low, David Pham, Sampo Pyysalo, Jenia Jitsev
    ICML 2026

    arXiv DOI

    cite
    id P27
    key tan2026opensource
    @inproceedings{tan2026opensource,
      title = {If open source is to win, it must go public},
      author = {Joshua Tan and Nicholas Vincent and Katherine Elkins and Magnus Sahlgren and Joseph Low and David Pham and Sampo Pyysalo and Jenia Jitsev},
      year = {2026},
      booktitle = {ICML},
      doi = {10.48550/arXiv.2507.09296},
      url = {https://arxiv.org/abs/2507.09296}
    }
  • Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention

    Vitor H. A. Welzel, Nicholas Vincent
    ACM FAccT 2026

    arXiv

    cite
    id P26
    key welzel2026overreliance
    @inproceedings{welzel2026overreliance,
      title = {Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention},
      author = {Vitor H. A. Welzel and Nicholas Vincent},
      year = {2026},
      booktitle = {ACM FAccT},
      url = {https://arxiv.org/abs/2605.15322}
    }
  • Mechanism Plausibility in Generative Agent-Based Modeling

    Patrick Zhao, David Huu Pham, Nicholas Vincent
    ACM FAccT 2026

    arXiv

    cite
    id P25
    key zhao2026mechanism
    @inproceedings{zhao2026mechanism,
      title = {Mechanism Plausibility in Generative Agent-Based Modeling},
      author = {Patrick Zhao and David Huu Pham and Nicholas Vincent},
      year = {2026},
      booktitle = {ACM FAccT},
      url = {https://arxiv.org/abs/2605.12824}
    }
  • How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy

    Haidan Liu, Isabelle Kwan, Taiga Okuma, Jeffrey Loverock, Nicholas Vincent, Parmit K Chilana
    ACM Creativity & Cognition 2026

    arXiv

    cite
    id P24
    key liu2026creatives
    @inproceedings{liu2026creatives,
      title = {How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy},
      author = {Haidan Liu and Isabelle Kwan and Taiga Okuma and Jeffrey Loverock and Nicholas Vincent and Parmit K Chilana},
      year = {2026},
      booktitle = {ACM Creativity \& Cognition},
      url = {https://arxiv.org/abs/2605.10898}
    }
  • Tracing Everyday AI Literacy Discussions at Scale: How Online Creative Communities Make Sense of Generative AI

    Haidan Liu, Poorvi Bhatia, Nicholas Vincent, Parmit Chilana
    ACM CHI 2026

    arXiv DOI

    cite
    id P23
    key liu2026tracing
    @inproceedings{liu2026tracing,
      title = {Tracing Everyday AI Literacy Discussions at Scale: How Online Creative Communities Make Sense of Generative AI},
      author = {Haidan Liu and Poorvi Bhatia and Nicholas Vincent and Parmit Chilana},
      year = {2026},
      booktitle = {ACM CHI},
      doi = {10.48550/arXiv.2603.09055},
      url = {https://arxiv.org/abs/2603.09055}
    }
  • Are We Horses? Rethinking Data as Labor

    Tae Wan Kim, Nicholas Vincent
    Philosophy & Technology 2026

    Link DOI

    cite
    id P22
    key kim2026horses
    @article{kim2026horses,
      title = {Are We Horses? Rethinking Data as Labor},
      author = {Tae Wan Kim and Nicholas Vincent},
      year = {2026},
      journal = {Philosophy \& Technology},
      doi = {10.1007/s13347-026-01033-4},
      url = {https://link.springer.com/article/10.1007/s13347-026-01033-4}
    }
  • Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration

    Nicholas Vincent, Matthew Prewitt, Hanlin Li
    NeurIPS Position Papers 2025

    arXiv DOI OpenReview Project

    cite
    id P21
    key vincent2025bargaining
    @inproceedings{vincent2025bargaining,
      title = {Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration},
      author = {Nicholas Vincent and Matthew Prewitt and Hanlin Li},
      year = {2025},
      booktitle = {NeurIPS Position Papers},
      doi = {10.48550/arXiv.2506.10272},
      url = {https://arxiv.org/abs/2506.10272}
    }
  • An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs

    Ayana Hussain, Patrick Zhao, Nicholas Vincent
    AIES 2025

    arXiv DOI

    cite
    id P20
    key hussain2025health
    @inproceedings{hussain2025health,
      title = {An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs},
      author = {Ayana Hussain and Patrick Zhao and Nicholas Vincent},
      year = {2025},
      booktitle = {AIES},
      doi = {10.1609/aies.v8i2.36630},
      url = {https://arxiv.org/abs/2508.10010}
    }
  • Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure

    Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey
    AIES 2025

    arXiv DOI

    cite
    id P19
    key chakraborti2025responsible
    @inproceedings{chakraborti2025responsible,
      title = {Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure},
      author = {Mahasweta Chakraborti and Bert Joseph Prestoza and Nicholas Vincent and Seth Frey},
      year = {2025},
      booktitle = {AIES},
      doi = {10.48550/arXiv.2409.19104},
      url = {https://arxiv.org/abs/2409.19104}
    }
  • Algorithmic Collective Action with Two Collectives

    Aditya Karan, Nicholas Vincent, Karrie Karahalios, Hari Sundaram
    ACM FAccT 2025

    arXiv ACM DL DOI

    cite
    id P18
    key karan2025collective
    @inproceedings{karan2025collective,
      title = {Algorithmic Collective Action with Two Collectives},
      author = {Aditya Karan and Nicholas Vincent and Karrie Karahalios and Hari Sundaram},
      year = {2025},
      booktitle = {ACM FAccT},
      doi = {10.1145/3715275.3732098},
      url = {https://arxiv.org/abs/2505.00195}
    }
  • Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms

    Zachary Wojtowicz, Shrey Jain, Nicholas Vincent
    ACM FAccT 2025

    arXiv ACM DL DOI

    cite
    id P17
    key wojtowicz2025pushpull
    @inproceedings{wojtowicz2025pushpull,
      title = {Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms},
      author = {Zachary Wojtowicz and Shrey Jain and Nicholas Vincent},
      year = {2025},
      booktitle = {ACM FAccT},
      doi = {10.1145/3715275.3732043},
      url = {https://arxiv.org/abs/2405.14614}
    }
  • A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training

    Heila Precel, Allison McDonald, Brent Hecht, Nicholas Vincent
    ACM CHI 2024

    arXiv ACM DL Link Semantic Scholar

    cite
    id P16
    key precel2024canary
    @inproceedings{precel2024canary,
      title = {A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training},
      author = {Heila Precel and Allison McDonald and Brent Hecht and Nicholas Vincent},
      year = {2024},
      booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
      pages = {1-17},
      doi = {10.1145/3613904.3642749},
      url = {https://doi.org/10.1145/3613904.3642749}
    }
  • Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities

    Leijie Wang, Nicholas Vincent, Julija Rukanskaitė, Amy X. Zhang
    ACM CHI 2024

    arXiv DOI Semantic Scholar

    cite
    id P15
    key wang2024pika
    @inproceedings{wang2024pika,
      title = {Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities},
      author = {Leijie Wang and Nicholas Vincent and Julija Rukanskaitė and Amy X. Zhang},
      year = {2024},
      booktitle = {ACM CHI},
      doi = {10.1145/3613904.3642012},
      url = {https://arxiv.org/abs/2310.04329}
    }
  • Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration

    Leah Ajmani, Nicholas Vincent, Stevie Chancellor
    ACM CSCW 2023

    PDF DOI

    cite
    id P14
    key ajmani2023friction
    @article{ajmani2023friction,
      title = {Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration},
      author = {Leah Ajmani and Nicholas Vincent and Stevie Chancellor},
      year = {2023},
      journal = {ACM CSCW},
      doi = {10.1145/3610198},
      url = {https://assets.super.so/2163f8be-d554-4149-9dce-340d3e6381d6/files/788cb46e-9999-4211-b5ef-ee5967faf30a.pdf}
    }
  • The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers

    Hanlin Li, Nicholas Vincent, Stevie Chancellor, Brent Hecht
    Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency 2023

    Link DOI Blog

    cite
    id P13
    key vincent2023datalabor
    @inproceedings{vincent2023datalabor,
      title = {The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers},
      author = {Hanlin Li and Nicholas Vincent and Stevie Chancellor and Brent Hecht},
      year = {2023},
      booktitle = {Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency},
      doi = {10.1145/3593013.3594070},
      url = {https://arxiv.org/abs/2305.13238}
    }
  • Behavioral Use Licensing for Responsible AI

    Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent Hecht, Nicholas Vincent, Hanlin Li
    ACM FAccT 2022

    Link DOI

    cite
    id P12
    key contractor2022behavioral
    @inproceedings{contractor2022behavioral,
      title = {Behavioral Use Licensing for Responsible AI},
      author = {Danish Contractor and Daniel McDuff and Julia Katherine Haines and Jenny Lee and Christopher Hines and Brent Hecht and Nicholas Vincent and Hanlin Li},
      year = {2022},
      booktitle = {ACM FAccT},
      doi = {10.1145/3531146.3533143},
      url = {https://dl.acm.org/doi/abs/10.1145/3531146.3533143}
    }
  • CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms

    Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W Bos
    AAAI ICWSM 2021

    PDF DOI

    cite
    id P11
    key chowdhury2021ceam
    @inproceedings{chowdhury2021ceam,
      title = {CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms},
      author = {Farhan Asif Chowdhury and Yozen Liu and Koustuv Saha and Nicholas Vincent and Leonardo Neves and Neil Shah and Maarten W Bos},
      year = {2021},
      booktitle = {AAAI ICWSM},
      doi = {10.1609/icwsm.v15i1.18046},
      url = {https://koustuv.com/papers/ICWSM21_CEAM.pdf}
    }
  • Addressing Documentation Debt in Machine Learning Research: A Retrospective Datasheet for BookCorpus

    Jack Bandy, Nicholas Vincent
    NeurIPS Datasets and Benchmarks 2021

    arXiv Link Blog

    cite
    id P10
    key bandy2021bookcorpus
    @inproceedings{bandy2021bookcorpus,
      title = {Addressing Documentation Debt in Machine Learning Research: A Retrospective Datasheet for BookCorpus},
      author = {Jack Bandy and Nicholas Vincent},
      year = {2021},
      booktitle = {NeurIPS Datasets and Benchmarks},
      url = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/0a09c8844ba8f0936c20bd791130d6b6-Abstract-round1.html}
    }
  • AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media

    Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W Bos
    ACM CHI 2021

    PDF DOI

    cite
    id P9
    key saha2021advertiming
    @inproceedings{saha2021advertiming,
      title = {AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media},
      author = {Koustuv Saha and Yozen Liu and Nicholas Vincent and Farhan Asif Chowdhury and Leonardo Neves and Neil Shah and Maarten W Bos},
      year = {2021},
      booktitle = {ACM CHI},
      doi = {10.1145/3411764.3445394},
      url = {https://koustuv.com/papers/CHI21_AdverTiming.pdf}
    }
  • Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?

    Nicholas Vincent, Brent Hecht
    Proceedings of the ACM on Human-Computer Interaction 2021

    PDF DOI Code

    cite
    id P8
    key vincent2021conscious
    @article{vincent2021conscious,
      title = {Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?},
      author = {Nicholas Vincent and Brent Hecht},
      year = {2021},
      journal = {Proceedings of the ACM on Human-Computer Interaction},
      doi = {10.1145/3449177},
      url = {/static/cdc_cscw.pdf}
    }
  • A Deeper Investigation of the Importance of Wikipedia Links to Search Engine Results

    Nicholas Vincent, Brent Hecht
    Proceedings of the ACM on Human-Computer Interaction 2021

    ACM DL PDF DOI Code Semantic Scholar

    cite
    id P7
    key vincent2021wikiserp
    @article{vincent2021wikiserp,
      title = {A Deeper Investigation of the Importance of Wikipedia Links to Search Engine Results},
      author = {Nicholas Vincent and Brent Hecht},
      year = {2021},
      journal = {Proceedings of the ACM on Human-Computer Interaction},
      doi = {10.1145/3449078},
      url = {/static/wikiserp_cscw.pdf}
    }
  • Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

    Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent Hecht
    Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency 2021

    Link DOI

    cite
    id P6
    key vincent2021dataleverage
    @inproceedings{vincent2021dataleverage,
      title = {Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies},
      author = {Nicholas Vincent and Hanlin Li and Nicole Tilly and Stevie Chancellor and Brent Hecht},
      year = {2021},
      booktitle = {Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency},
      pages = {215--227},
      doi = {10.1145/3442188.3445885},
      url = {https://arxiv.org/abs/2012.09995}
    }
  • How Do People Change Their Technology Use in Protest?: Understanding Protest Users

    Hanlin Li, Nicholas Vincent, Janice Tsai, Jofish Kaye, Brent Hecht
    ACM CSCW 2019

    PDF DOI

    cite
    id P5
    key li2019protest
    @article{li2019protest,
      title = {How Do People Change Their Technology Use in Protest?: Understanding Protest Users},
      author = {Hanlin Li and Nicholas Vincent and Janice Tsai and Jofish Kaye and Brent Hecht},
      year = {2019},
      journal = {ACM CSCW},
      doi = {10.1145/3359189},
      url = {https://www.psagroup.org/static/publications/cscw2019_protest_nonuse_camera_ready.pdf}
    }
  • Measuring the Importance of User-Generated Content to Search Engines

    Nicholas Vincent, Isaac Johnson, Patrick Sheehan, Brent Hecht
    Proceedings of the International AAAI Conference on Web and Social Media 2019

    PDF DOI Code

    cite
    id P4
    key vincent2019ugcinsearch
    @inproceedings{vincent2019ugcinsearch,
      title = {Measuring the Importance of User-Generated Content to Search Engines},
      author = {Nicholas Vincent and Isaac Johnson and Patrick Sheehan and Brent Hecht},
      year = {2019},
      booktitle = {Proceedings of the International AAAI Conference on Web and Social Media},
      doi = {10.1609/icwsm.v13i01.3248},
      url = {https://www.nickmvincent.com/static/icwsm2019_ugcinsearch_arxiv.pdf}
    }
  • "Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies

    Nicholas Vincent, Brent Hecht, Shilad Sen
    The World Wide Web Conference (WWW) 2019

    PDF DOI Code

    cite
    id P3
    key vincent2019datastrikes
    @inproceedings{vincent2019datastrikes,
      title = {"Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies},
      author = {Nicholas Vincent and Brent Hecht and Shilad Sen},
      year = {2019},
      booktitle = {The World Wide Web Conference (WWW)},
      doi = {10.1145/3308558.3313742},
      url = {https://www.nickmvincent.com/static/www2019_datastrike.pdf}
    }
  • Women (still) ask for less: Gender differences in hourly rate in an online labor marketplace

    Eureka Foong, Nicholas Vincent, Brent Hecht, Elizabeth M Gerber
    ACM CSCW 2018

    PDF DOI

    cite
    id P2
    key foong2018upwork
    @article{foong2018upwork,
      title = {Women (still) ask for less: Gender differences in hourly rate in an online labor marketplace},
      author = {Eureka Foong and Nicholas Vincent and Brent Hecht and Elizabeth M Gerber},
      year = {2018},
      journal = {ACM CSCW},
      doi = {10.1145/3274322},
      url = {https://www.brenthecht.com/publications/cscw2018_upworkgender.pdf}
    }
  • Examining Wikipedia With a Broader Lens: Quantifying the Value of Wikipedia's Relationships with Other Large-Scale Online Communities

    Nicholas Vincent, Isaac Johnson, Brent Hecht
    ACM CHI 2018

    PDF DOI Code

    cite
    id P1
    key vincent2018wikipedia
    @inproceedings{vincent2018wikipedia,
      title = {Examining Wikipedia With a Broader Lens: Quantifying the Value of Wikipedia's Relationships with Other Large-Scale Online Communities},
      author = {Nicholas Vincent and Isaac Johnson and Brent Hecht},
      year = {2018},
      booktitle = {ACM CHI},
      doi = {10.1145/3173574.3174140},
      url = {https://www.nickmvincent.com/static/WikipediaAndOnlineCommunitiesChi18_references_fixed.pdf}
    }

Workshop / Pre-print

Filter by venue
  • IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts

    Ayana Hussain, Soumya Sharma, Golnoosh Farnadi, Nicholas Vincent, Héber Hwang Arcolezi, Ulrich Aïvodji
    arXiv preprint 2026

    arXiv DOI Code

    cite
    id O8
    key hussain2026idpbench
    @misc{hussain2026idpbench,
      title = {IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts},
      author = {Ayana Hussain and Soumya Sharma and Golnoosh Farnadi and Nicholas Vincent and Héber Hwang Arcolezi and Ulrich Aïvodji},
      year = {2026},
      howpublished = {arXiv preprint},
      doi = {10.48550/arXiv.2606.09908},
      url = {https://arxiv.org/abs/2606.09908}
    }
  • 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
    WikiWorkshop 2026 2026 · Forthcoming

    Link DOI

    cite
  • Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups

    Aditya Karan, Prabhat Kalle, Nicholas Vincent, Hari Sundaram
    Algorithmic Collective Action Workshop at NeurIPS 2025 2025

    Link DOI

    cite
    id W16
    key karan2025sync
    @inproceedings{karan2025sync,
      title = {Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups},
      author = {Aditya Karan and Prabhat Kalle and Nicholas Vincent and Hari Sundaram},
      year = {2025},
      booktitle = {Algorithmic Collective Action Workshop at NeurIPS 2025},
      doi = {10.48550/arXiv.2510.18933},
      url = {https://arxiv.org/abs/2510.18933}
    }
  • Open WebUI: An Open, Extensible, and Usable Interface for AI Interaction

    Jaeryang Baek, Ayana Hussain, Danny Liu, Nicholas Vincent, Lawrence H. Kim
    arXiv preprint 2025

    Link

    cite
    id O7
  • Epistemic Authority in AI Fact-Checking: A Human and Data Centric Perspective

    Devansh Bhojak, Nicholas Vincent
    4S 2025 Conference: Reverberations 2025

    Link

    cite
    id W15
  • Step-By-Step Reasoning with Meta Cognitive Prompts to Reduce Contextual Hallucination

    Brian Miki, Nicholas Vincent
    HEAL Workshop @ CHI 2025 2025

    cite
    id W14
  • Canada as a Champion for Public AI: Data, Compute and Open Source Infrastructure for Economic Growth and Inclusive Innovation

    Nicholas Vincent, Mark Surman, Jake Hirsch-Allen
    author preprint 2025

    PDF

    cite
    id W13
  • AI for Just Work: Constructing Diverse Imaginations of AI beyond "Replacing Humans"

    Weina Jin, Nicholas Vincent, Ghassan Hamarneh
    arXiv preprint 2025

    Link

    cite
    id O6
  • Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure

    Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey
    AIES 2025

    arXiv DOI

    cite
    id W12
    key chakraborti2025responsible
    @inproceedings{chakraborti2025responsible,
      title = {Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure},
      author = {Mahasweta Chakraborti and Bert Joseph Prestoza and Nicholas Vincent and Seth Frey},
      year = {2025},
      booktitle = {AIES},
      doi = {10.48550/arXiv.2409.19104},
      url = {https://arxiv.org/abs/2409.19104}
    }
  • A step forward in tracing and documenting dataset provenance

    Nicholas Vincent
    Nature Machine Intelligence, News & Views 2024

    Link DOI

    cite
  • 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 2024

    Code

    cite
    id W11
  • 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 2024

    PDF

    cite
    id W10
  • An Alternative to Regulation: The Case for Public AI

    Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan
    RegML 2023 Workshop @ NeurIPS 2023 2023

    Link

    cite
    id W9
  • Sharing the Winnings of AI with Data Dividends: Challenges with 'Meritocratic' Data Valuation

    Nicholas Vincent, Brent Hecht
    EAAMO 2023 Poster Track 2023

    PDF

    cite
    id W8
  • 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 2023

    Link

    cite
    id W7
  • 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 2023

    Link

    cite
    id W6
  • 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 2022

    Link

    cite
    id W5
  • Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users

    Isaiah Jones, Brent Hecht, Nicholas Vincent
    ACM CSCW Posters 2022

    PDF

    cite
    id W4
  • Collaborative Design of Contribution Tracking Systems for Decentralized Organizations

    Nicholas Vincent, Christine Vandevoorde
    CESC 2022 2022

    PDF

    cite
    id W3
  • Twitter Engagement with Retracted Articles: Who, When, and How?

    Rod Abhari, Nicholas Vincent, Henry K Dambanemuya, Herminio Bodon, Emőke-Ágnes Horvát
    arXiv preprint 2022

    Link

    cite
    id O4
  • From My Data to Our Data

    Yakov Feygin, Nicholas Vincent, Hanlin Li, Chirag Lala, Luisa Scarcella
    Book chapter in The Future of Building Wealth 2021

    Link

    cite
    id O3
  • 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 2021

    Link

    cite
    id O2
  • 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 2019

    Link

    cite
    id O1
  • 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 2015

    Link

    cite
    id W2
  • 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 2015

    Link

    cite
    id W1

Editorial

Filter by venue
  • Where Biden’s AI policies fall short in protecting workers.

    Feb 2024 — The Bulletin of the Atomic Scientists link

  • How creatives can stop AI from stealing their work.

    Oct 2023 — The Bulletin of the Atomic Scientists link

  • A roadmap toward empowering the labor force behind AI.

    Jul 2023 — Montreal AI Ethics Institute Research Summaries link

  • ChatGPT Stole Your Work. So What Are You Going to Do?

    Jan 2023 — Wired link

  • What if we could check Big Tech?: The collective voice of millions of users could be as effective as regulation

    Mar 2021 — Northwestern Now link

Talks & Conversations

Filter by venue
  • Panelist, Responsible AI Track

    May 2026 — Simon Fraser University, Burnaby, BC (Panel)

    Event
  • Panel: Designing Collective Technology Governance

    May 2026 — Grande Halle, Brussels, Belgium (Panel)

    Event Recording
  • Panel: Can Decentralists Cooperate? Rethinking Commons and Collective Action in the Age of Platforms and AI

    Mar 2026 — AMS Student Nest, Vancouver, BC (Panel)

    Event
  • Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage

    Mar 2026 — The Blockchain Socialist (Podcast)

    Recording
  • Panel Moderator, NeurIPS Workshop on Algorithmic Collective Action

    Dec 2025 — San Diego, CA (Panel)

    Event
  • Collective Bargaining in the Information Economy

    Dec 2025 — San Diego, CA (Poster Presentation)

    Event
  • A Data Flow Perspective on "AI Social Simulation": Will Recent AI Advances Enable New Social Science, Destroy Ecosystems for Knowledge, or Something More Subdued?

    Oct 2025 — Seattle, WA (Talk)

    Event
  • Data Leverage and AI Safety

    Aug 2025 — Singapore AI Safety Hub (Talk)

  • Data and Public AI

    Jul 2025 — San Jose, CA (Talk)

    Event
  • AI as a Public Good with Jake Hirsch-Allen and Nicholas Vincent

    Jun 2025 — BrainTrainr Podcast (Podcast)

    Recording
  • Canada as Champion for Public AI

    Mar 2025 — McMaster Internet Policy Lab (Talk)

  • Emerging Concerns with the Generative AI Data Paradigm (and how academic research and “Public AI” can help)

    Mar 2025 — UBC NLP (Talk)

  • Activism in the Age of AI

    Mar 2025 — IATSE 891 AI Day of Learning @ Downtown Vancouver (Talk)

    Event
  • Human-Centered AI Research and New Paradigms for Generative AI Data

    Sep 2024 — Human-Centered AI Conference @ Pepperdine University (Talk)

    Event
  • Economic Concentration and Dispossessive Data Use: Can HCI Solve Challenges from and to AI?

    May 2024 — SIGCHI 2024 Outstanding Dissertation Award (Talk)

    Event
  • A New Grand Data Bargain for Public Interest AI

    Feb 2024 — SFU DDI (Talk)

    Event Recording
  • Responsive LLM Development

    Jan 2024 — University of Toronto Data Sciences Institute: Fairness - ChatGPT Workshop (Panel)

    Event
  • Community Dialogue on Accountable Governance and Data

    Mar 2023 — Community Data Science Collective Community Dialogues (Talk)

    Event
  • Human-centered data and language models -- Privacy, data as labor, and licensing

    Feb 2023 — Stanford Social NLP Reading Group Talks (Talk)

    Event
  • Algorithmic Contestability

    Jan 2023 — Center for Advancing Safety of Machine Intelligence, Toward a Safety Science of AI (Talk)

    Event
  • Does the rise of AI need us to adopt new data licensing policies?

    Dec 2022 — Open Health Data and AI Summit 2022 (Panel)

    Recording
  • Should Tech Companies Be Paying Us for Our Data?

    Nov 2021 — Things Have Changed Podcast (Podcast)

    Recording
  • The Importance of Wikipedia to Search Engines and Other Systems

    May 2021 — Wikipedia Research Showcase (Talk)

    Event Recording
  • Public interest technologies for the ML age

    May 2021 — 3rd Obfuscation Workshop (Talk)

    Event
  • On Data Dividends

    May 2021 — RadicalxChange Podcast (Podcast)

    Recording
  • Data Agency: Individual or Shared?

    Jan 2021 — RadicalxChange Panels (Talk)

    Recording
  • Data Driven Economy for All

    Jul 2020 — RadicalxChange 2020 Conference (Panel)

    Event Recording
  • The Critical Relationship of Volunteer-Created Wikipedia Content to Large-Scale Online Communities

    Apr 2018 — Wikipedia Research Showcase (Talk)

    Event Recording

Media Coverage

Filter by outlet
  • Study argues online clicks and scrolls are 'thin labor' powering AI

    TechXplore · John Miller · Feb 2026 Article link

  • New Research Challenges Tech Giants to Recognize Users as Laborers, Not Byproducts

    Carnegie Mellon University Tepper School of Business · John Miller · Feb 2026 Article link

  • Should the public sector build its own AI?

    The Financial Times · Gideon Lichfield · Sep 2025 Article link

  • AI as 'teammate'? Not so fast, say experts warning it could be 'dangerous'

    Canadian HR Reporter · Stacy Thomas · Jul 2025 Article link

  • Can Wikipedia survive the rise of AI and Trump?

    Australian Broadcasting Corporation · Rhiannon Stevens · May 2025 Article link

  • 'Trial and error': Over half of AI redundancies a mistake, say leaders

    Canadian HR Reporter · Stacy Thomas · May 2025 Article link

  • Inside Meta's secret experiments that improve its AI models

    Business Insider · Alistair Barr, Pranav Dixit · Apr 2025 Article link

  • OpenAI Is Reaping What It Sowed With DeepSeek

    Business Insider · Alistair Barr · Jan 2025 Article link

  • Is data supply AI’s Achilles’ heel?

    UBS · Richard Mylles · Jun 2024 Article link

  • Is this AI? See if you can spot the technology in your everyday life

    The Washington Post · Kevin Shaul · Apr 2024 Article link

  • Jews have always been prolific writers. Has AI wound up with too much of their work?

    Jewish Telegraphic Agency · Asaf Elia-Shalev · Mar 2024 Article link

  • Nicholas Vincent explains why robots.txt is no longer enough to protect against web scraping

    IT Brew · Tom McKay · Mar 2024 Article link

  • AI is killing the grand bargain at the heart of the web

    Business Insider · Kali Hays, Alistair Barr · Jan 2024 Article link

  • Newspapers want payment for articles used to power ChatGPT

    The Washington Post · Nitasha Tiku · Oct 2023 Article link

  • 'Data leverage' and the Harry Potter test: How much is a single book worth to a giant AI model?

    Business Insider · Alistar Barr · Aug 2023 Article link

  • Wikipedia’s Moment of Truth

    New York Times Magazine · Jon Gernter · Jul 2023 Article link

  • We are all AI’s free data workers

    MIT Technology Review · Melissa Heikkilä · Jun 2023 Article link

  • Internet users are 'poisoning' their personal data in the fight against online surveillance

    Le Monde · Aurélien Defer · Apr 2022 Article link

  • Got the same name as a serial killer? Google might think you’re the same person

    Vox · Rebecca Heilweil · Jun 2021 Article link

  • Facebook and Others Should Pay Us for Our Data. Here’s One Way

    Bloomberg · Peter Coy · May 2021 Article link

  • How to poison the data that Big Tech use to surveil you

    MIT Technology Review · Karen Hao · Mar 2021 Article link

  • Your data is a weapon that can help change corporate behavior

    Fortune · Jonathan Vanian, Jeremy Kahn · Feb 2021 Article link

  • Is it time for Netflix subscribers to go on strike?

    Quartz · Nicolás Rivero · Jul 2020 Article link

  • YouTube May Add to the Burdens of Humble Wikipedia

    New York Times · John Herrman · Mar 2018 Article link