Daniel Theron
Danie Theron leads the Data Science group in Alphabet's Internal Audit organization. His focus there includes developing quantitative approaches to audit and assurance work, collaborating with other teams at Google on AI standards, governance frameworks and audit approaches, as well as promoting the use of AI for social good through Google.org.
Authored Publications
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Google
Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks
EMNLP Generation, Evaluation & Metrics (GEM) Workshop (2023)
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditin
Becky White
Inioluwa Deborah Raji
Margaret Mitchell
Timnit Gebru
FAT* Barcelona, 2020, ACM Conference on Fairness, Accountability, and Transparency (ACM FAT* (2020)
