Presenting Sessions: Session 2

Missing Pixels: The Need for Inclusion in AI

누락된 픽셀: AI 속 포용성의 중요성

Bio

Deborah is a researcher at UC Berkeley interested in algorithmic auditing. She has worked closely with industry, civil society and within academia to push forward the Algorithmic Justice League initiative, founded by Joy Buolamwini of the MIT Media Lab, on several award-winning projects to highlight cases of bias in facial recognition. She was a mentee in Google AI’s flagship research mentorship cohort, working with their Ethical AI team on various projects to operationalize ethical considerations in ML practice, including the Model Cards documentation project, and SMACTR internal auditing framework. She was also recently a research fellow at the Partnership on AI, working on formalizing documentation practice in Machine Learning through their ABOUT ML initiative, as well as at the AI Now Institute at New York University pushing forward benchmarking and model evaluation norms. She was recently named to Forbes 30 Under 30, MIT Tech Review 35 Under 35 Innovators and the list of TIME 100 Most Influential in AI.

데보라는 UC 버클리의 연구자로, 알고리즘 감사(algorithmic auditing)와 AI 윤리를 중심으로 연구하고 있다. MIT 미디어랩의 조이 부올라무이니가 창립한 ‘알고리즘 정의 연맹(Algorithmic Justice League)’과 협력하여 얼굴 인식 기술의 편향을 드러내는 여러 수상 프로젝트를 수행했다. Google AI 윤리팀과 함께 모델카드(Model Cards), 내부 감사 프레임워크(SMACTR) 등 AI 실무에 윤리적 기준을 적용하는 연구에 참여했으며, Partnership on AI의 ABOUT ML, NYU AI Now Institute에서도 문서화 및 모델 평가 기준 마련을 위한 활동을 이어왔다. 그녀는 Forbes 30 Under 30, MIT Technology Review 35 Under 35, TIME 선정 AI 분야 가장 영향력 있는 100인에 이름을 올렸다.