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 | |
1/31 | AI and Conservation | Andrew Davies |
Uncovering Ecological Patterns with Convolutional Neural Networks |
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 | |
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 |
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 |
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2/21 | In-class OH for projects | Project Proposal Due | |
2/26 | Initial Survey Results I | ||
2/28 |
Initial Survey Results II |
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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 |
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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 |
brodrick_etal_2019_tree_using_cnns_in_ecology.pdf | 4.67 MB | |
biasinairesearch.pdf | 246 KB | |
benitez_sl_uarto.pdf | 270 KB | |
medicalai_dangerous_poorer_nations_who.pdf | 979 KB | |
2305.12638.pdf | 512 KB | |
lessons_from_ictd.pdf | 219 KB | |
deep_learning_genetic_diseases.pdf | 22.06 MB | |
zeroshot_drug_repurposing.pdf | 26.59 MB |