Current Status
Seasons greetings Carnegie Mellon community, I am available for meetings Mondays, Wednesdays, and Fridays.
Research & Current Work
My research specifically focuses on understanding the economic risks of A.I. systems and tools, including generative A.I. models, for vulnerable, disadvantaged, and marginalized end-users and society.
I study this research topic by modifying existing methods for auditing -- as well as developing novel methods for auditing -- machine learning (or A.I.) systems and models.
At this time, this work often involves `red-teaming' generative A.I. models, including for industry partners.
Red-teaming Inquiries
To inquire about my availability to join your company's red-team, please send an email to skingsle@cs.cmu.edu.
News
August 2023: I attended a public red-teaming event at DEFCON, sponsored by the White House!
June 2023: I started an intership at Harvard Law School's Berkman Klein Center, working with Dr. Rumman Chowdhury to organize a public red-teaming event at DEFCON, sponsored by the White House!
May 2023: I will be giving an invited talk at Rutgers University on AI inequality and UN Sustainable Development Goals (SDGS) DIMACS Workshop Program
Tuesday, April 25, 2023: We will present our paper,
Participation and Division of Labor in User-Driven Audits on Social Media, at CHI. We’d love to have you at the presentation if you’re attending CHI, please stop by! Pre-printJanuary 2023: Our paper on
Participation and Division of Labor in User-Driven Audits on Social Mediawas accepted to CHI 2023!November 2022: Our
YouTube Demonetization studywas published in the ACM library! ACM Library