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Week DateTopic GroupTopicInstructor LectureReadingPresenter Sign Up
(write your name)		Assignment (other than reading response)https://tinyurl.com/cs6724RHO
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117-JanIntroIntroduction and Course OverviewFull LectureLicklider, Joseph CR. "Man-computer symbiosis." IRE transactions on human factors in electronics 1 (1960): 4-11. (read in class) N/A
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Shyam Sankar. The Rise of Human Computer Cooperation. TED Talk Video, 2012 (12 mins).N/A
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19-JanPrimer on AIFull LectureLubars, Brian, and Chenhao Tan. "Ask not what AI can do, but what AI should do: Towards a framework of task delegability." In Advances in Neural Information Processing Systems, pp. 57-67. 2019.N/A
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Xu, Anbang, Zhe Liu, Yufan Guo, Vibha Sinha, and Rama Akkiraju. "A new chatbot for customer service on social media." In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3506-3510. 2017.N/A
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Nityesh Agarwal. "Getting started with reading Deep Learning Research papers: The Why and the How", a blog post at Towards Data Science (2018).N/A
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224-JanPrimer on HCIFull Lecture Amershi, Saleema, et al. "Guidelines for human-AI interaction." Proceedings of the 2019 chi conference on human factors in computing systems. 2019.N/A
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Shneiderman, B., "Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy." International Journal of Human-Computer Interaction 36, 6, 495-504. 2020.N/A
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26-Jan1FATE: Fairness, Accountability, Transparency & Ethics in AI - 1Prabhakaran, Vinodkumar, Ben Hutchinson, and Margaret Mitchell. "Perturbation sensitivity analysis to detect unintended model biases." arXiv preprint arXiv:1910.04210 (2019).
Presenter: Rohan Leekha
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Goyal, Nitesh, et al. "Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation." Proceedings of the ACM on Human-Computer Interaction 6.CSCW2 (2022): 1-28.Presenter:
Anirban Mukhopadhyay
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331-JanFATE: Fairness, Accountability, Transparency & Ethics in AI - 2Timnit Gebru. "Computer vision in practice: who is benefiting and who is being harmed?" (video, 51 mins) N/AN/A
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Kate Crawford and Trevor Paglen, “Excavating AI: The Politics of Training Sets for Machine Learning"Presenter: Tanmoy Sarkar PiasTeam Formation Due
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2-FebFATE: Fairness, Accountability, Transparency & Ethics in AI - 3Mitchell, Margaret, et al. "Model cards for model reporting." Proceedings of the conference on fairness, accountability, and transparency. 2019.Presenter: Anisha Kumar
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Sculley, David, et al. "Hidden technical debt in machine learning systems." Advances in neural information processing systems. 2015.Presenter:
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47-Feb2Designing Human-Centered AI Systems: Challenges Heer, Jeffrey. "Agency plus automation: Designing artificial intelligence into interactive systems." Proceedings of the National Academy of Sciences 116.6 (2019): 1844-1850.Presenter: Ken King
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9-FebHenriette Cramer and Juho Kim. "Confronting the tensions where UX meets AI." interactions 26.6 (2019): 69-71.Presenter: Terryl Dodson
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Yang et al., Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design (CHI 2020)Presenter: Sayeedul Islam
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514-Feb3Designing Human-Centered AI Systems: User Expectations Rafal Kocielnik, Saleema Amershi, and Paul N. Bennett. 2019. Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19), 1–14.Presenter:
Swanand Vaishampayan
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Cai, Carrie J., et al. "Onboarding Materials as Cross-functional Boundary Objects for Developing AI Assistants." Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 2021.Presenter: Sunday Ubur
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16-Feb4Designing Human-Centered AI Systems: VisualizationsGoogle PAIR (People + AI Research): Choose one tool from Google PAIR’s website (https://pair.withgoogle.com/tools/) and leave a review. Makeup PresentationN/A
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Cheng, Hao-Fei, Ruotong Wang, Zheng Zhang, Fiona O'Connell, Terrance Gray, F. Maxwell Harper, and Haiyi Zhu. "Explaining decision-making algorithms through UI: Strategies to help non-expert stakeholders." In Proceedings of the 2019 chi conference on human factors in computing systems, 2019.Presenter: Darshan Vekaria
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621-FebProject Pitch PresentationsProject Pitch Presentations
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23-FebProject Pitch PresentationsProject Pitch Presentations
Project Pitch Due (PPTX and PDF files due by Feb 22 11:59pm)
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728-Feb5Data and AIClark, Elizabeth, et al. "All that's' human'is not gold: Evaluating human evaluation of generated text." arXiv preprint arXiv:2107.00061 (2021).Presenter: Wei Liu
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Thakkar, Divy Hasmukhbhai, et al. "When is ML data good?: Valuing in Public Health Datafication." (2022).Presenter: Rohan Leekha
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2-Mar6Explainable AI - 1Project Check In with InstructorHarmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan. 2020. Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning. In CHI 2020Presenter: Terryl Dodson
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8Spring BreakSpring Break
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914-MarExplainable AI - 2Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. ""Why should I trust you?" Explaining the predictions of any classifier." In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 2016.Presenter: Matthew Jackson
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Zachary C. Lipton. "The mythos of model interpretability." 2018.Presenter: Jacqueline Bruen
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16-MarDesigning for Explainable AI Wexler, James, et al. "The what-if tool: Interactive probing of machine learning models." IEEE transactions on visualization and computer graphics 26.1 (2019): 56-65.Presenter: Xiaohan Ding
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Liao, Q. Vera, Daniel Gruen, and Sarah Miller. "Questioning the AI: informing design practices for explainable AI user experiences." Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 2020.Presenter: Wyatt Sweat
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1021-Mar7Human-AI Collaboration - 1AI Song Contest: Human-AI Co-Creation in Songwriting, Cheng-Zhi Anna Huang, Hendrik Vincent Koops, Ed Newton-Rex, Monica Dinculescu, Carrie J. Cai - ISMIR 2020Presenter: Tianjia Wang
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AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music Composition, Mia Suh, Emily Youngbloom, Michael Terry, Carrie Cai - CHI 2021Presenter: Buse Carik
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23-MarWork on Midterm PresentaNo Class - Work on prototype
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1128-MarMidterm PresentationPresentation of Prototype
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30-MarMidterm PresentationPresentation of PrototypePrototype Due
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124-AprHuman-AI Collaboration - 2TaleBrush: Sketching Stories with Generative Pretrained Language Models, John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang CHI2022Presenter: Jacqueline BruenPresenter:
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Wordcraft: Story Writing With Large Language Models, Ann Yuan, Andy Coenen, Emily Reif, Daphne Ippolito - IUI 2022Presenter: Wei LiuPresenter:
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6-Apr8AI and Language: Prompting - 1PromptChainer: Chaining Large Language Model Prompts through Visual Programming, Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J Cai - CHI 2022Presenter: Xiaohan Ding, Tianjia WangPresenter:
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AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts, Tongshuang Wu, Michael Terry, Carrie J Cai - CHI 2022Presenter: Ken King, Lucas FrankePresenter:
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Promptiverse: Scalable Generation of Scaffolding Prompts through Human-AI Knowledge Graph Annotation, Yoonjoo Lee, John Joon Young Chung, Taesoo Kim, Jean Y. Song, Juho Kim CHI2022Presenter: Darshan
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1311-AprAI and Language: Prompting - 2Park, Joon Sung, et al. "Social Simulacra: Creating Populated Prototypes for Social Computing Systems." Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 2022.Presenter: Wyatt Sweat
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Subramonyam, Hariharan, Colleen Seifert, and Eytan Adar. "ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces." 26th International Conference on Intelligent User Interfaces. 2021.Presenter: Anirban Mukhopadhyay
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13-AprAI and Language: Language Based ReasoningChoi, Yejin. "The Curious Case of Commonsense Intelligence." Daedalus 151.2 (2022): 139-155. Presenter: Sunday Ubur
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Bosselut, Antoine, et al. "COMET: Commonsense transformers for automatic knowledge graph construction." arXiv preprint arXiv:1906.05317 (2019).Presenter: Tanmoy Sarkar Pias, Sayeedul Islam
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"The Trajectory of ACL and the Next 60 years" - Talk by Yejin ChoiN/AN/A
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Can Computers Learn Common Sense?, The New Yorker, 2022 (optional)Presenter: Matthew Jackson
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1418-Apr9AI for Social Good: Countering Bad ActorsMathew, Binny, et al. "Thou shalt not hate: Countering online hate speech." Proceedings of the international AAAI conference on web and social media. Vol. 13. 2019.Presenter: Buse Carik
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Ung, Megan, Jing Xu, and Y-Lan Boureau. "Saferdialogues: Taking feedback gracefully after conversational safety failures." arXiv preprint arXiv:2110.07518 (2021).Presenter: Ashwin Rachha, Swanand Vaishampayan
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20-AprAttitudes Towards AI - Past, Current, and Future “Because AI is 100% right and safe”: User Vulnerabilities and Sources of AI Authority in India, Shivani Kapania, Oliver Siy, Gabe Clapper, Azhagu SP, Nithya Sambasivan - CHI 2022Presenter: Ashwin Rachha
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Abdul, Ashraf, et al. "Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda." Proceedings of the 2018 CHI conference on human factors in computing systems. 2018.Lucas Franke
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1525-AprCHICHI - No Classes (Insturctor out of town); Work on final project
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27-AprCHICHI - No Classes (Insturctor out of town); Work on final project
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162-MayLast Day of ClassFinal Presentation (Please expect to stay until 6:30pm)Final Project Presentation Due
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6-MayNo Class/ Final Prototype and Video DueFinal Prototype and Video Due
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