Riccardo Fogliato

Portrait of Riccardo Fogliato

I am a principal research scientist on the Responsible AI team at Microsoft Core AI, working on testing of LLM safety. Previously, I was an applied scientist on the Responsible AI team at AWS, where I worked on statistical methods for evaluating language and vision models.

I received a PhD in Statistics from CMU under the supervision of Alexandra Chouldechova and Zachary Lipton. During the PhD, I interned at MSR with Besmira Nushi, Kori Inkpen, and Eric Horvitz. I also was a research fellow at the Partnership on AI where I worked with Alice Xiang. Before going to CMU, I studied at Collegio Carlo Alberto, at the Universities of Torino and Padova, and spent some time at ENS Cachan.

You can contact me at riccardofogliato [at] gmail [dot] com.

Publications

* Equal contribution
Earlier publications (2019–2023)
  • The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller FAccT 2023 paper arXiv
  • Homophily and Incentive Effects in Use of Algorithms Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary Lipton, David Danks CogSci 2022 paper arXiv
  • Human Discernment of Algorithmic Errors: A Case Study in Child Welfare Maria De-Arteaga*, Riccardo Fogliato*, Alexandra Chouldechova Working paper 2022 SSRN
  • Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato, Shreya Chappidi, Matthew Lungren, Paul Fisher, Diane Wilson, Michael Fitzke, Mark Parkinson, Eric Horvitz, Kori Inkpen, Besmira Nushi FAccT 2022 paper arXiv code
  • Racial Disparities in the Enforcement of Marijuana Violations in the US Bradley Butcher, Chris Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller AIES 2022 paper arXiv code
  • On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes Riccardo Fogliato, Alice Xiang, Zachary Lipton, Daniel Nagin, Alexandra Chouldechova AIES 2021 (oral) paper arXiv code
  • The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton CSCW 2021 paper arXiv code & data
  • maars: Tidy Inference under the ‘Models as Approximations’ Framework in R Riccardo Fogliato*, Shamindra Shrotriya*, Arun Kumar Kuchibhotla Preprint 2021 arXiv code talk
  • Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang AIES 2021 paper arXiv
  • Why PATTERN Should Not Be Used: The Perils of Using Algorithmic Risk Assessment Tools During COVID-19 Riccardo Fogliato, Alice Xiang, Alexandra Chouldechova Partnership on AI Issue Brief 2020 paper
  • Lessons from the Deployment of an Algorithmic Tool in Child Welfare Riccardo Fogliato*, Maria De-Arteaga*, Alexandra Chouldechova CHI 2020 Workshop on Fair & Responsible AI paper (archived)
  • A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores Maria De-Arteaga*, Riccardo Fogliato*, Alexandra Chouldechova CHI 2020 paper arXiv blog post
  • Fairness Evaluation in Presence of Biased Noisy Labels Riccardo Fogliato, Max G’Sell, Alexandra Chouldechova AISTATS 2020 paper arXiv
  • TRAP: A Predictive Framework for Trail Running Assessment of Performance Riccardo Fogliato, Natalia Oliveira, Ronald Yurko Journal of Quantitative Analysis in Sports 2020 paper arXiv talk Best poster award at NESSIS 2019 and at CMSAC 2019 (1 of 4); talk at MIT SSAC.
  • Trajectories of Prescription Opioids Filled Over Time Jonathan Elmer, Riccardo Fogliato, Nikita Setia, Wilson Mui, Michael Lynch, Eric Hulsey, Daniel Nagin PLOS ONE 2019 paper