Current Status
Seasons greetings Carnegie Mellon community, I am available for meetings Mondays and Wednesdays.
Research & Current Work
My research specifically focuses on understanding the economic and cybersecurity risks of Machine Learning or A.I. systems and tools, including generative (e.g. foundation, transformer) A.I. models.
I study this research topic by modifying existing methods for auditing -- as well as developing novel methods for evaluating -- machine learning or A.I. systems.
At this time, this work often involves `red-teaming' generative A.I. models, including for industry partners, and designing online and in-person `vulnerability' bounty competitions.
Red-teaming Inquiries
To inquire about my availability to join your organization's red-team, please send an email to skingsle@cs.cmu.edu.
News
July 2024: Our paper on mis/disinformation in job advertisements was published and presented at ChiWork! [link to our ChiWork paper]
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. ACM Paper LinkJanuary 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