Mark Díaz is a Research Scientist with the Ethical Artificial Intelligence team at Google Brain. His primary research focuses on the use of algorithmic tools to study human behavior– particularly the behavior of marginal social groups. He uses mixed methods to probe the origins of social bias in algorithms and explore approaches to involving underrepresented communities in the design and evaluation of computational systems. His past work has included a systematic evaluation of age bias in sentiment algorithms as well as involving older adults in the creation of novel data sets for sentiment analysis.
- Christian, A. J., Day, F., Díaz, M., & Peterson-Salahuddin, C. (2020). Platforming intersectionality: Networked solidarity and the limits of corporate social media. Social Media + Society.
- Díaz, M., & Diakopoulos, N. (2019). Whose walkability?: Challenges in algorithmically measuring subjective experience. In Proceedings of the ACM on Human-Computer Interaction – CSCW, 3(CSCW), Austin, TX.
- Dickinson, J., Díaz, M., Le Dantec, C. A., & Erete, S. (2019). “The cavalry ain’t coming in to save us”: Supporting capacities and relationships through civic tech. In Proceedings of the ACM on Human-Computer Interaction – CSCW, 3(CSCW), Austin, TX.
- Díaz, M., Johnson, I., Lazar, A., Piper, A. M., & Gergle, D. (2018). Addressing age-related bias in sentiment analysis. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada.