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Mentor Areas

  • Computer Science Education
  • Equity and Diversity Initiatives

Description:

There is an urgent need to develop and implement learning programs that can help teachers to prepare students to effectively interact with and critically evaluate machine learning applications. This project will work with a group of high school teachers across rural, suburban, and urban US communities in California, Delaware and Pennsylvania serving diverse high school students, including Black, Latinx, and gender-marginalized young people, to design and implement classroom activities that will support students in developing and “auditing” machine learning applications. The goal of algorithm auditing is to better understand the opaque inner workings of AI systems by repeatedly querying the AI system in order to interpret its external effects and impacts.

Preferred Qualifications

  • Knowledge/Interest in machine learning. 
  • Programming skills for designing applications.

Project Website

Learn more about the researcher and/or the project here.
Research Website

Details:

Preferred Student Year

Second-Year, Senior, First-year, Junior

Academic Term

Fall, Spring, Summer

I prefer to have students start during the above term(s).

Volunteer

Yes

Yes indicates that faculty are open to volunteers.

Paid

Yes

Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.

Work Study

Yes

Yes indicates that faculty are open to hiring work-study-eligible students.