We do not expect students to master the background readings or even necessarily be familiar with the contents of the background reading. These are included just in case any students want additional resources beyond the lectures, particularly as we discuss potential projects. We will ensure book chapters are made available on CANVAS. All the papers with “*” are available from


Part I: Introduction to AI and AI ethics


Jan 27 (L1): Course overview, perspectives on AI and Ethics, fairness in the data-to-deployment pipeline, collaborative problem solving


Jan 29 (L2): Introduction to game theory, decision theory, Machine Learning


Feb 3 (L3): Introduction to AI ethics (case study: MIT Media Lab’s Moral Machine project)



Part II: AI and Public Health


Feb 5 (L4): AI approaches to network-based prevention I (case study: Have You Heard?)


  • “PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead” A. Yadav et al, AI Magazine, Vol 37 (2), 2016**
  • “Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application” A. Yadav et al, AAMAS 2017**
  • “Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study)” Rahmattalabi et al
  • (Background) “Causes and consequences of youth homelessness”, E. Rice & H. Winetrobe, in “Artificial Intelligence and Social Work”, Editors Rice & Tambe


Feb 10 (L5): Evaluating outcomes in public health



Feb 12 (L6): Public health, inequality, and AI (guest speaker: Kasisomayajula Viswanath)


Feb 17: No class (President’s Day)


Feb 19 (L7): AI approaches to network-based prevention III; respecting rights in public health (case study: TND Network)



Feb 24 (L8): Discussion of Assignments


Feb 26 (L9): Introduction to fair machine learning (case study: Instant Checkmate)


  • Solon Barocas, Moritz Hardt, and Arvind Narayanan, Fairness in Machine Learning, Introduction
  • Latanya Sweeney, “Discrimination in Online Ad Delivery”
  • (Background) Andrew Altman, “Discrimination” (Stanford Encyclopedia of Philosophy)


Mar 2 (L10):  AI approaches to tuberculosis prevention and suicide prevention (case study: Teamcore group TB project, suicide prevention project)


  • “Exploring Algorithmic Fairness in Robust Graph Covering Problems” Rahmtallabi et al, NeurIPS 2019**
  • “Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data” Killian et al, KDD 2019**
  • “Group-Fairness in Influence Maximization” Tsang et al, IJCAI 2019


Mar 4 (L11): Fair machine learning in public health (guest speaker: Shahin Jabbari)



Mar 9 (L12): Ethics in product development (guest speaker: Ece Kamar)


Mar 11 (L13): Project proposal presentations


  • March 13: FINAL project proposals due


Mar 16 & 18: No class (Spring Recess)


Mar 23 (L14): Human subjects research ethics (guest speaker: Mary Gray; case study: Facebook’s emotion contagion experiment)



Part III: AI and Public Safety


Mar 25 (L15): Predictive policing (guest speaker: TBA)


Mar 30 (L16): Fairness in recidivism prediction I (case study: COMPAS)



April 1 (L17): Fairness in recidivism prediction II (case study: COMPAS)



April 6 (L18): TBA



April 8 (L19): guest speaker: Desmond Patton



Part IV: AI and Wildlife Conservation


April 13 (L20): AI approaches to wildlife conservation II(case study: PAWS)  


  • Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.” Xu et al ICDE 2020**
  • “Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers (Corrected Version)” Gholami et al, AAMAS 2018**
  •  “SPOT Poachers in Action: Augmenting Conservation Drones with Automatic Detection in Near Real Time” Bondi et al, IAAI 2018**
  • “Strategic Coordination of Human Patrollers and Mobile Sensors with Signaling for Security Games” Xu et al, AAAI 2018**


April 15 (L21): Moral responsibility for unintended uses of technology (case studies: PAWS, OpenAI GPT-2) [David]



April 20 (L22): Ethical challenges for autonomous weapons systems


  • Ronald Arkin, “The Case for Ethical Autonomy in Unmanned Systems”
  • Ryan Tonkens, “The Case Against Robotic Warfare: A Response to Arkin”
  • (Background) James Moor, “Are There Decisions Computers Should Never Make?”


April 22 (L23): Open project discussions


April 27 (L24): Interim project reports


April 29 (L25): Interim project reports