Papers

• “Human Comprehension of Fairness in Machine Learning.” Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz. Working Paper (2020).

• “Group Fairness in Bandit Arm Selection.” Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson. Working Paper (2020).

• "Transfer of Machine Learning Fairness across Domains." Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, and Ed H. Chi. Working Paper (2020).

• “We Need Fairness and Explainability in Algorithmic Hiring.” Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, and John P. Dickerson. AAMAS Blue Sky (2020).

• "Making the Cut: A Bandit-based Approach to Tiered Interviewing." Candice Schumann, Zhi Lang, Jeffrey S. Foster, and John P. Dickerson. NeurIPS (2019).

• "The Diverse Cohort Selection Problem." Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, and John P. Dickerson. AAMAS (2019).

• "An approach to the fairy tale card game: a rotating sets competitive knapsack problem with strongly stochastic rewards and item availability." Candice Schumann, Timothy Highley, and Howard Stickley. Journal of Computing Sciences in Colleges (2015).

Workshops

• “Human Comprehension of Fairness in Machine Learning.” Artificial Intelligence, Ethics, and Society (2020)

• “Transfer of Machine Learning Fairness across Domains.” NeurIPS AI for Social Good Workshop (2019)

• "Group Fairness in Bandit Arm Selection” Do the right thing: machine learning and causal inference for improved decision making at NeurIPS (2019)

• “The Diverse Cohort Selection Problem.” Ph.D. in Research Conference, Google (2018)

• “The Diverse Cohort Selection Problem.” Aligned AI Workshop at NIPS-17 (2017)

• “The Diverse Cohort Selection Problem.” WiML Workshop at NIPS-17 (2017)

Talks

• “Human Comprehension of Fairness in Machine Learning.” Artificial Intelligence, Ethics, and Society (2020)

• “Transfer of Machine Learning Fairness.” Machine Learning Seminar Series, University of Maryland (2019)

• “Diversity in Machine Learning.” Invited Talk, La Salle University (2018)

• “Fairy Tale Card Game: Knapsacks, Heuristics, and Artificial Intelligence.” Invited Talk, La Salle University (2018)

• “The New White Hat Hacking Computational Biology for the Good of Mankind.” DEFCON Biohacking Village (2016)

• “Cross-Platform Compatibility: Brining Infosec Skills into the World of Computational Biology.” BSidesLV (2016)