Designing for User Agency and Control in Algorithmic Systems

Speaker: Kristen Vaccaro , University of California San Diego

Date: Tuesday, March 16, 2021

Time: 1:00 PM to 2:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: https://mit.zoom.us/j/92001976359

Event Type: Seminar

Room Description:

Host: Arvind Satyanarayan, CSAIL MIT

Contact: Cynthia Rosenthal, crosenth@csail.mit.edu

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Reminders to: mitcsailhci@mit.edu, HCI-Seminar@lists.csail.edu, hcifac@lists.csail.mit.edu

Reminder Subject: TALK: Designing for User Agency and Control in Algorithmic Systems

Machine learning systems are increasingly a part of everyday users' lives, from search systems to social media news feeds. But the automated intelligence behind capabilities like curation, moderation, and recommendation has long been seen in contrast to individual agency and choice. In fact, debates over whether to prioritize machine learning or user control date back decades. My work seeks to improve users' experiences of algorithmic systems, particularly those involving human-AI collaboration, while maintaining user agency and control. In this talk, I will discuss that work and how can we design machine learning systems so that users can understand them, engage with them, and feel empowered in an increasingly automated world.

Kristen Vaccaro is an Assistant Professor in Computer Science & Engineering at the University of California San Diego, where her research focuses on designing algorithmic systems for user agency and control. Using qualitative and quantitative methods, she has studied existing systems and new prototypes to capture user understanding, behavior, and adaptations around mechanisms for control. Her work also explores questions of fairness, justice, and policy around such technologies.

Research Areas:
Human-Computer Interaction

Impact Areas:

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Created by Cynthia Rosenthal at Friday, March 12, 2021 at 4:54 PM.