Seminars & Colloquia

Margaret Burnett

Oregon State University

"Mission: To enable diverse mere mortals to assess an AI agent's 'goodness' for their own needs"

Wednesday February 12, 2025 02:00 PM
Location: 3211, EB2 NCSU Centennial Campus
(Visitor parking instructions)

 

Abstract: As AI agents become more and more prevalent in everyday technology, more and more individuals -- from every walk of life, at every level of education, across the entire socioeconomic spectrum, of every gender, race, ethnicity and age -- will need to make decisions about which agent(s) to use, when and how, and to what extent using them is the best path forward. The 'mission' this talk explores is how we can enable such diverse individuals to make such decisions in ways that make their lives better instead of worse. For example, should I use an agent to enable me to be a remote caregiver for my grandmother, or should I move in with her? Should I buy semi-self-driving car X, or semi-self-driving car Y, or stay entirely manual? Will using one of these systems cost someone's life? Will it so destroy someone's privacy that their lives become filled with fear and harassment? Will my child become less intelligent over time if I give her access to LLM-powered 'homework helpers'?

In this talk, I don't show to how to answer any of these questions. But I show a few paths forward that may point to way(s) toward answering them, and at least one path on how not to answer them.

 

Short Bio: Margaret Burnett is a Distinguished Professor at Oregon State University. She began her career in industry, where she was the first woman software developer ever hired at Procter & Gamble Ivorydale. A few degrees and start-ups later, she joined academia, with a research focus on people who are engaged in some form of software development. She was the principal architect of the Forms/3 and FAR visual programming languages, and co-founded the area of end-user software engineering (with Gregg Rothermel), which aims to improve software for computer users who are not trained in programming. One of the contributions from her end-user software engineering work was producing seminal work in actionably explaining AI to ordinary end users. She also co-leads the team that created GenderMag, a software inspection process that uncovers gender inclusiveness issues in software from spreadsheets to programming environments. Her newest projects related to GenderMag include the InclusiveMag meta-method, SocioeconomicMag, and a new analytical approach to intersectionally inclusive software. Burnett is an ACM Fellow, a member of the ACM CHI Academy, and an award-winning mentor. She has served in over 50 conference organization and program committee roles. She was recently honored with the 2022 IEEE CS TCSE Distinguished Women in Science and Engineering (WISE) Leadership Award and the 2023 AnitaB Grace Hopper Conference's ABIE Tech Leader Award.

Host: Sandeep Kuttal, CSC


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