ICS 691D: Human-Centered Artificial Intelligence

Graduate course, ICS Department, University of Hawaiʻi at Mānoa, 2022

This is a discussion-based course covering the latest research in human-centered artificial intelligence (HAI). Topics covered include: interactive ML systems, explainable & interpretable ML, AI for healthcare, fairness & bias, privacy, crowdsourcing, HCI evaluations of AI-powered systems, and ethical frameworks applied to AI.

This is an unofficial and condensed copy of the course syllabus for public viewing. The official syllabus with all formal UHM policies and assignment submission details is available to course students on Laulima.

Coursework: Coursework includes in-class discussions and presentations, leading a discussion on a chosen topic from the syllabus, research paper reading assignments with weekly structured one-page reflections, developing a structured project proposal with preliminary data, and writing a three-page review of one of the topics discussed.

Grading: Grading will consist of a combination of a written work, presentations, and participation. Specifically, the breakdown is as follows:

  • Paper reflection paragraphs: 20% (up to 5 can be dropped; extra credit if not dropped)
  • Topic review paper: 20%
  • Project proposal: 30%
  • In-class presentations: 10%
  • Participation and attendance: 10%
  • Leading discussion on chosen topic: 10%

Recommended prerequisites to get the most out of this course include ICS 235 (Machine Learning Methods), ICS 434 (Data Science Fundamentals), and ICS 435 (Machine Learning Fundamentals).

DateTopicPre-Class Readings (before class)Assignment Due (midnight before class)
Mon Aug 22Course Overview  
Wed Aug 24ML ReviewGreener Nature Reviews 2022Greener reflection
Mon Aug 29Deep Learning ReviewDong Computer Science Review 2021Literature review + discussion leading topics
Wed Aug 31Reinforcement LearningArulkumaran IEEE Signal Processing 2017Proposal topic
Mon Sep 5Labor Day Holiday  
Wed Sep 7Interactive MLHaber NeurIPS 2018Haber reflection
Mon Sep 12RoboticsAkalin Sensors 2021Akalin reflection
Wed Sep 14Autonomous VehiclesKohli FICC 2019Kohli reflection
Mon Sep 19Active LearningOlsson 2009Olsson reflection
Wed Sep 21CrowdsourcingVaughan JMLR 2017Vaughan reflection
Mon Sep 26Human-Computer InteractionDove CHI 2017Dove reflection
Wed Sep 28Interpretable MLDošilović MIPRO 2018Došilović reflection
Mon Oct 3Literature Review Presentations Literature review writeup (3 pages)
Wed Oct 5Literature Review Presentations  
Mon Oct 10Explainable MLAlqaraawi IUI 2020Alqaraawi reflection
Wed Oct 12Communicating ML resultsVaroquaux Neuroimage 2018Varoquaux reflection
Mon Oct 17Differential Privacy (remote on Zoom)Chen Biocomputing 2020Chen reflection
Wed Oct 19Federated LearningRieke NPJ Digital Medicine 2018Rieke reflection
Mon Oct 24BiasMehrabi ACM Computing Surveys 2021Mehrabi relfection
Wed Oct 26FairnessHolstein CHI 2019Holstein reflection
Mon Oct 31Proposal Checkin Presentations Proposal outline
Wed Nov 2Proposal Checkin Presentations  
Mon Nov 7EthicsChar NEJM 2018Char reflection
Wed Nov 9Generative ModelsLyu ICMEW 2020Lyu reflection
Mon Nov 14Natural Language ProcessingMishev IEEE Access 2020Mishev reflection
Wed Nov 16BiologyZou Nature Genetics 2019Zou reflection
Mon Nov 21Medicine and HealthHannun Nature Medicine 2019Hannun reflection
Wed Nov 23Digital PhenotypingOmberg Nature Biotechnology 2022Omberg reflection
Mon Nov 28Social Network AnalysisSmith PNAS 2021Smith reflection
Wed Nov 30Course Summary  
Mon Dec 5Final Proposal Presentations Final project proposal (5 pages)
Wed Dec 7Final Proposal Presentations