Jessie J. Smith (Jess) is a PhD candidate and a Google PhD Fellow at The University of Colorado Boulder researching machine learning and AI ethics with an emphasis on algorithmic fairness and harm mitigation.
Grad School Internships:
Jess' dissertation focuses on operationalizing fairness within machine learning systems, with a focus on the application of recommender systems---which includes developing best practices to empirically measure the inherently unobservable and contested construct of fairness. Recently Jess has also begun co-designing a Generative AI Ethics playbook with collaborators at the Allen AI Institute.
Jess also does part-time consulting with small to large size tech companies to work with data scientists on incorporating fairness, transparency, and/or auditing into the machine learning and AI lifecycle. This includes working with employees across various teams to understand how ethics can most appropriately be encoded into algorithms and processes while aligning with an organization's values.
Interviewing experts on the most pressing topics in AI Ethics while building a movement to address the societal issues embedded in AI systems.
Taking ethical dilemmas introduced in SciFi stories and applying them to contemporary issues with technology through the power of storytelling and case-studies.