Research in: Responsible Artificial Intelligence, Human-computer Interaction, Human-centered Machine Learning, and Social Computing
Assistant Professor in the School of Computing Science at Simon Fraser University.
nvincent@sfu.ca
Hello! I'm Nick. In short, I use HCI and ML to study the ecosystems and supply chains that provide the data flow that makes AI work. Below, you can find a short bio and links to artifacts I've helped to produce.
Hanlin Li, Nicholas Vincent. Where Biden’s AI policies fall short in protecting workers. Bulletin of the Atomic Scientists
Nicholas Vincent. How creatives can stop AI from stealing their work. Bulletin of the Atomic Scientists
Hanlin Li, Nicholas Vincent, Stevie Chancellor, and Brent Hecht. A roadmap toward empowering the labor force behind AI. Montreal AI Ethics Institute Research Summaries
Nicholas Vincent, Hanlin Li. ChatGPT Stole Your Work. So What Are You Going to Do? Wired
Nicholas Vincent, Hanlin Li. What if we could check Big Tech?: The collective voice of millions of users could be as effective as regulation. Northwestern Now
Richard Mylles. Is data supply AI’s Achilles’ heel? UBS, June 2024.
Kevin Shaul. Is this AI? See if you can spot the technology in your everyday life. The Washington Post, April 2024.
Tom McKay. Nicholas Vincent explains why robots.txt is no longer enough to protect against web scraping IT Brew, March 2024.
Asaf Elia-Shalev. Jews have always been prolific writers. Has AI wound up with too much of their work? Jewish Telegraphic Agency, March 2024.
Nitasha Tiku. Newspapers want payment for articles used to power ChatGPT. The Washington Post, October 2023.
Kali Hays and Alistair Barr. AI is killing the grand bargain at the heart of the web. 'We're in a different world.' Business Insider, January 2024.
Alistar Barr. 'Data leverage' and the Harry Potter test: How much is a single book worth to a giant AI model? Business Insider, August 2023.
Jon Gernter. Wikipedia’s Moment of Truth. New York Times Magazine, September 2023.
Melissa Heikkilä. We are all AI’s free data workers. MIT Technology Review, June 2023.
Aurélien Defer. Internet users are 'poisoning' their personal data in the fight against online surveillance. Le Monde, April 2022.
Rebecca Heilweil. Got the same name as a serial killer? Google might think you’re the same person. Vox, June 2021.
Peter Coy. Facebook and Others Should Pay Us for Our Data. Here’s One Way. Bloomberg, May 2021.
Karen Hao. How to poison the data that Big Tech use to surveil you. MIT Technology Review, March 2021.
Jonathan Vanian and Jeremy Kahn. Your data is a weapon that can help change corporate behavior. Fortune, February 2021.
Nicolás Rivero. Is it time for Netflix subscribers to go on strike? Quartz, July 2020.
John Herrman. YouTube May Add to the Burdens of Humble Wikipedia. New York Times, March 2018.
Project Spotlight: CollectiveVoice February 2024.
Bing Rewards for the AI Age March 2023.
Plural AI Data Alignment March 2023.
AI Technologies are System Maps, and You are a Cartographer. February 2023.
The Paradox of Reuse, Language Models Edition. December 2022.
Why You’re an Expert "Language Model Trainer"! March 2021.
"Data Strikes": A New Form of Leverage for Tech Users? September 2020.
(Video) A New Grand Data Bargain for Public Interest AI - Talk Recording for SFU DDI, March 2024.
(Video) Does the rise of AI need us to adopt new data licensing policies?, December 2022.
(Podcast) Should Tech Companies Be Paying Us for Our Data? - Things Have Changed Podcast, November 2021.
(Podcast) On Data Dividends - RadicalxChange Podcast, May 2021.
(Video) Data Agency: Individual or Shared?, January 2021.
(Video) Data Driven Economy for All - 2020 RxC Conference, July 2020.
Heila Precel, Allison McDonald, Brent Hecht, Nicholas Vincent. 'A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training'. ACM CHI 2024.
Leijie Wang, Nicholas Vincent, Julija Rukanskaitė, Amy X. Zhang. 'Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities'. ACM CHI 2024.
Leah Ajmani, Nicholas Vincent, Stevie Chancellor. 'Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration'. ACM CSCW 2023.
Hanlin Li, Nicholas Vincent, Stevie Chancellor, Brent Hecht. 'The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers'. ACM FAccT 2023.
Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent Hecht, Nicholas Vincent, Hanlin Li". 'Behavioral Use Licensing for Responsible AI'. ACM FAccT 2022.
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W Bos". 'CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms'. AAAI ICWSM 2021.
Jack Bandy, Nicholas Vincent. 'Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus'. NeurIPS 2021 Datasets and Benchmarks Track.
Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W Bos. 'AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media'. ACM CHI 2021.
Nicholas Vincent, Brent Hecht. 'A Deeper Investigation of the Importance of Wikipedia Links to Search Engine Results'. ACM CSCW 2021.
Nicholas Vincent, Brent Hecht. 'Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?'. ACM CSCW 2021.
Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent Hecht. 'Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies'. ACM FAccT 2021.
Hanlin Li, Nicholas Vincent, Janice Tsai, Jofish Kaye, Brent Hecht. 'How Do People Change Their Technology Use in Protest?: Understanding “Protest Users”'. ACM CSCW 2019.
Nicholas Vincent, Isaac Johnson, Patrick Sheehan, Brent Hecht. 'Measuring the Importance of User-Generated Content to Search Engines '. AAAI ICWSM 2019.
Nicholas Vincent, Brent Hecht, Shilad Sen. '“Data Strikes”: Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies'. ACM The Web Conference 2019.
Eureka Foong, Nicholas Vincent, Brent Hecht, Elizabeth M Gerber. 'Women (still) ask for less: Gender differences in hourly rate in an online labor marketplace'. ACM CSCW 2018.
Nicholas Vincent, Isaac Johnson, Brent Hecht. 'Examining Wikipedia With a Broader Lens: Quantifying the Value of Wikipedia's Relationships with Other Large-Scale Online Communities'. ACM CHI 2018.
Timothy J. Baek, Nicholas Vincent, Lawrence Kim. Designing an open-source LLM interface and social platforms for collectively driven LLM evaluation and auditing. HEAL Workshop @ CHI 2024.
Clare Provenzano, Parsa Rajabi, Diana Cukierman, Nicholas Vincent. The Need for Flexible Interfaces for Text-to-Image Auditing: A Case Study of DALL·E 2 and DALL·E 3. GenAICHI Workshop @ CHI 2024.
Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan. An Alternative to Regulation: The Case for Public AI. RegML 2023 Workshop @ NeurIPS 2023.
Nicholas Vincent, Brent Hecht. Sharing the Winnings of AI with Data Dividends: Challenges with 'Meritocratic' Data Valuation. EAAMO 2023 non-archival track.
Isaiah Jones, Brent Hecht, Nicholas Vincent. Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users. ACM CSCW 2022 Posters.
Noah Stier, Nicholas Vincent, David Liebeskind, Fabien Scalzo. Deep learning of tissue fate features in acute ischemic stroke. BIBM 2015 Workshop on Biomedical Visual Search and Deep Learning.
Nicholas Vincent, Noah Stier, Songlin Yu, David S Liebeskind, Danny JJ Wang, Fabien Scalzo. Detection of hyperperfusion on arterial spin labeling using deep learning. BIBM 2015 Workshop on Biomedical Visual Search and Deep Learning.
Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey. Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure
Nicholas Vincent. A step forward in tracing and documenting dataset provenance
Zachary Wojtowicz, Shrey Jain, Nicholas Vincent. Push and Pull: A Framework for Measuring Attentional Agency
Rod Abhari, Nicholas Vincent, Henry K Dambanemuya, Herminio Bodon, Emőke-Ágnes Horvát. Twitter Engagement with Retracted Articles: Who, When, and How?
Yakov Feygin, Nicholas Vincent, Hanlin Li, Chirag Lala, Luisa Scarcella. From My Data to Our Data
Yakov Feygin, Hanlin Li, Chirag Lala, Brent Hecht, Nicholas Vincent, Luisa Scarcella, Matthew Prewitt. A Data Dividend that Works: Steps Toward Building an Equitable Data Economy
Nicholas Vincent, Yichun Li, Renee Zha, Brent Hecht. Mapping the Potential and Pitfalls of 'Data Dividends' as a Means of Sharing the Profits of Artificial Intelligence.