Carlos Toxtli-Hernandez
PhD Student
Labs and Groups
Research Interest
- Data science with crowdsourcing
- Human-computer interaction
- Human-centered artificial intelligence
Education
- MS in Innovation and Technological Entrepreneurship, Monterrey Institute of Technology and Higher Education — Mexico
- MBA, European University of Madrid — Spain
- BS in Computer Science and Information Systems, Universidad del Valle de México
- BS in Computer Engineering, Universidad Nacional Autónoma de México
Pronouns
He/him/his
Biography
Carlos Toxtli-Hernández is a doctoral student at the Khoury College of Computer Sciences at Northeastern University, advised by Saiph Savage. His doctoral work, which he began in 2021, focuses on human-centered artificial intelligence.
In particular, Toxtli-Hernández’s research applies human-centered AI—as well as principles of transparency, fairness, and inclusion—to design tools for fair and frictionless workplace interactions. He is also interested in human–computer interaction, data science, crowdsourcing, and machine learning, and is affiliated with the Civic AI Lab after formerly taking part in the Civic Innovation Lab at the National Autonomous University of Mexico. Toxtli-Hernández also extends his academic focus to the musical realm by building AI tools to compose music.
Before joining Khoury College, Toxtli-Hernández developed innovative technologies at the United Nations, Microsoft Research, and Snap Inc., among others. He has given more than 100 talks at conferences around the world, published award-winning research in top venues, become a tech evangelist facilitating continuous learning for adults, and created startups focused on fintech, e-commerce, automation, bots, and education. He has won awards or contest prizes from
Cisco, Intel, Facebook, and Google, as well as a grant from the NSF and a Twitch Research Fellowship from Amazon.
Recent Publications
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A Culturally-Aware AI Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles
Citation: Carlos Toxtli, Christopher Curtis, Saiph Savage. (2024). A Culturally-Aware AI Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles Proc. ACM Hum. Comput. Interact., 8, 1-34. https://doi.org/10.1145/3686899 -
Understanding chatbot-mediated task management
Citation: Toxtli, Carlos, Andrés Monroy-Hernández, and Justin Cranshaw. "Understanding chatbot-mediated task management." Proceedings of the 2018 CHI conference on human factors in computing systems. 2018. DOI: 10.1145/3173574.3173632 -
ExperTwin: An Alter Ego in Cyberspace for Knowledge Workers
Citation: Toxtli, Carlos, et al. "ExperTwin: An Alter Ego in Cyberspace for Knowledge Workers." 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2018. -
Research Methods to Study & Empower Crowd Workers
Citation: Savage, S., C. Toxtli, and E. Betanzos. "Research Methods to Study & Empower Crowd Workers." Oxford (2021). -
Migrating from Classical Machine Learning to Quantum Machine Learning: An overview and case study on Drug Discovery
Citation: Patel, Yash, and Carlos Toxtli. "Migrating from Classical Machine Learning to Quantum Machine Learning: An overview and case study on Drug Discovery." -
Luzdeploy: A collective action system for installing navigation infrastructure for blind people
Citation: Gleason, Cole, et al. "Luzdeploy: A collective action system for installing navigation infrastructure for blind people." Proceedings of the 14th International Web for All Conference. 2017. -
Quantifying the Invisible Labor in Crowd Work
Citation: Carlos Toxtli, Siddharth Suri, and Saiph Savage. 2021. Quantifying the Invisible Labor in Crowd Work. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 319 (October 2021), 26 pages. DOI:https://doi.org/10.1145/3476060 -
Reputation Agent: Prompting Fair Reviews in Gig Markets
Citation: Carlos Toxtli, Angela Richmond, and Saiph Savage. 2020. Reputation Agent: Prompting Fair Reviews in Gig Markets. In Proceedings of The Web Conference 2020 (WWW '20), April 20–24, 2020, Taipei, Taiwan. ACM, New York, NY, USA 13 Pages. https://doi.org/10.1145/3366423.3380199 -
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers
Citation: Saiph Savage, Chun Wei Chiang, Susumu Saito, Carlos Toxtli, and Jeffrey Bigham. 2020. Becoming the Super Turker:Increasing Wages via a Strategy from High Earning Workers. In Proceedings of The Web Conference 2020 (WWW '20). Association for Computing Machinery, New York, NY, USA, 1241–1252. DOI:https://doi.org/10.1145/3366423.3380200 -
Enabling Expert Critique at Scale with Chatbots and Micro-Guidance
Citation: Toxtli-Hernandez, Carlos and Saiph Savage. “Enabling Expert Critique at Scale with Chatbots and Micro Guidance.” (2020). -
Meta-Gig: Empowering Anyone to Create Crowd Marketplaces
Citation: TOXTLI, Carlos; SAVAGE, Saiph. Meta-Gig: Empowering anyone to create crowd marketplaces. Avances en Interacción Humano-Computadora, [S.l.], n. 1, p. 11-19, nov. 2020. ISSN 2594-2352. Available at: <http://aihc.amexihc.org/index.php/aihc/article/view/62>. Date accessed: 09 nov. 2021. doi: http://dx.doi.org/10.47756/aihc.y5i1.62.