Jane Frye is a distinguished Principal Data Scientist and AI Ethicist with over a decade of experience in developing and deploying machine learning models for social good and commercial applications. She is deeply passionate about ensuring artificial intelligence systems are fair, transparent, and accountable. Jane has a strong track record of leading cross-functional teams to tackle complex data challenges, translating intricate technical findings into actionable business strategies and ethical guidelines. Her work often involves pioneering new methodologies for bias detection in algorithms and promoting data literacy across organizations. Jane is a sought-after speaker and a dedicated mentor to aspiring data scientists, particularly women in STEM.
Jane Frye's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the design and open-sourcing of 'EquiAI', a novel Python library for auditing and mitigating bias in machine learning models, now adopted by several research institutions and tech companies.
Delivered a highly-rated keynote address on 'The Imperative of Human-Centric AI' to an international audience of policymakers, researchers, and industry leaders.
Received the 'Tech Innovator of the Year' award from 'Women in Tech International' for her significant contributions to ethical AI development and her advocacy for diversity in the field.
Authored a critically acclaimed book providing a comprehensive guide for practitioners and organizations on implementing ethical AI frameworks, which has become a standard reference in many university courses.
University of Colorado Boulder - Year 2010
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