Lectures

AI4SI book is available at ai4sibook.org

Date	Topic	Lecturer	Assignment
1/22	Class Introduction	Milind Tambe
1/24	Overview of AI for Social Impact Projects	Milind Tambe	Lily Xu, Shahrzad Gholami , Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, and Eric Enyel. 4/20/2020. “Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.” In IEEE International Conference on Data Engineering (ICDE-20).Abstract icde_arxiv_version.pdf Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, and Milind Tambe. 7/27/2021. “Robust Reinforcement Learning Under Minimax Regret for Green Security.” Conference on Uncertainty in Artificial Intelligence (UAI).Abstract xu_uai21_robust_rl.pdf Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, and Milind Tambe. 2021. “Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness.” In AAAI Conference on Artificial Intelligence.Abstract aaai21_hiv.pdf Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, and Milind Tambe. 2/14/2023. “Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health.” AAAI Conference on Artificial Intelligence (AAAI).Abstract 10767.wangk_full.pdf Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwala, Aparna Hegde, Aparna Taneja, and Milind Tambe. 5/28/2023. “Restless Multi-Armed Bandits for Maternal and Child Health:Results from Decision-Focused Learning.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS). dfl_2022_study_aamas_2023_camera_ready.pdf Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, and Aparna Taneja. 2/28/2024. “Improving Health Information Access in the World’s Largest Maternal MobileHealth Program via Bandit Algorithms.” In Innovative Applications of Artificial Intelligence (IAAI). iaai_2024_kilkari_camera_ready_1.pdf
1/29	AI and Public Health	Jessica Haberer	Benitez et al. Navarro et al. David Adam
1/31	AI and Conservation	Andrew Davies	Uncovering Ecological Patterns with Convolutional Neural Networks Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats
2/5	AI and Bias & Fairness	Sharad Goel	Risk Scores, Label Bias, and Everything but the Kitchen Sink
2/7	AI for Social Impact Discussion on Partnerships	Milind Tambe	Lessons from ICT and International Development
2/12	Public Health Challenges in Madagascar	Dimeji Mudele & Marissa Lynn Childs (Chris Golden lab)	A three-step machine learning approach for algal bloom detection using stationary RGB camera images Improving accuracy of air pollution exposure measurements
2/14	LLMs, Generative AI, and Social Good	Marinka Zitnik	Zero-shot drug repurposing with geometric deep learning and clinician centered design Deep learning for diagnosing patients with rare genetic diseases
2/19	Presidents' Day - No Class
2/21	In-class OH for projects		Project Proposal Due
2/26	Initial Survey Results I
2/28	Initial Survey Results II
3/4	Beyond the AI hype: Balancing innovation and Social Responsibility	Virginia Dignum
3/6	Midterm Project Presentations		Midterm Project Presentation Due
3/11	Spring Break - No Class
3/13	Spring Break - No Class
3/18	Harvard Business School Case Study: PAWS	Brian Trelstad
3/20	Causal Inference for Conservation	Lily Xu
3/25	Work period
3/27	Partnerships for AI4SI
4/1	Paper Discussion
4/3	Paper Discussion
4/8	Guest Lecture	Malihe Alikhani	Final Survey Paper Due.
4/10	Ethics Lecture	Embedded Ethics
4/15	Implementation Science	Shoba Ramnadhan
4/17	Work Period
4/22	Final Presentations
4/24	Final Presentations