*=equal contribution; **=equal advising
REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
PDF
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
To appear in IEEE S&P
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara, Mary Anne Smart, Rachel Cummings**, Gabriel Kaptchuk**, Elissa Redmiles**
USENIX Security Symposium 2023 | PDF
Spotlight talk at TPDP 2023 | video
What’s Driving Conflicts in Debates around Differential Privacy for the U.S. Census
Priyanka Nanayakkara and Jessica Hullman
IEEE S&P Magazine | PDF
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
David Liu*, Priyanka Nanayakkara*, Sarah Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica Hullman, Tina Eliassi-Rad
AIES 2022 | PDF
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
AIES 2022 | PDF
Visualizing Privacy–Utility Trade-Offs in Differentially Private Data Releases
Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
PETS 2022 | PDF | demo | video | blog post | another blog post
Spotlight talk at TPDP @ ICML 2022 | video
Unpacking the expressed consequences of AI research in broader impact statements
Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos
AIES 2021 | PDF | blog post | video
Measure-Observe-(Re)measure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
TPDP 2023
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Mary Anne Smart, Priyanka Nanayakkara, Rachel Cummings**, Gabriel Kaptchuk**, Elissa Redmiles**
TPDP 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara, Mary Anne Smart, Rachel Cummings**, Gabriel Kaptchuk**, Elissa Redmiles**
TPDP 2023
Whose Policy? Privacy Challenges of Decentralized Platforms
Sohyeon Hwang, Priyanka Nanayakkara, Yan Shvartzshnaider
CHI 2023 Design Policy Workshop | PDF
Improving Education on Differential Privacy Protections
Mary Anne Smart*, Priyanka Nanayakkara*, Rachel Cummings**, Gabriel Kaptchuk**, Elissa Redmiles**
CHI 2023 Privacy Interventions and Education (PIE) Workshop
Improving Communication with End Users About Differential Privacy
Priyanka Nanayakkara*, Mary Anne Smart*, Rachel Cummings**, Gabriel Kaptchuk**, Elissa M. Redmiles**
TPDP 2022, CI Symposium 2022
Anticipatory ethics and the role of uncertainty
Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman
Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020 | PDF | video
Toward better communication of uncertainty in science journalism
Priyanka Nanayakkara and Jessica Hullman
Computation + Journalism 2020 | PDF