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Pages

Peter Washington

Academic website for Peter Washington, Assistant Professor in Computer Science at the University of Hawaii at Manoa

Contact

Contact information for Peter Washington, Assistant Professor in Computer Science at the University of Hawaii at Manoa

Research Themes

Research projects led by Peter Washington, Assistant Professor in Computer Science at the University of Hawaii at Manoa

Teaching

Courses taught by Peter Washington, Assistant Professor in Computer Science at the University of Hawaii at Manoa

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

contact

portfolio

Crowdsourcing for Precision Health

We create human-in-the-loop systems to accelerate remote diagnostics and longitudinal outcome tracking for complex neuropsychiatric conditions.

publications

talks

teaching

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.