Charlie Gephart is a distinguished AI Ethics Researcher and Senior Software Engineer with 12 years of experience dedicated to building responsible and human-centric artificial intelligence systems. Currently based in Austin, Texas, Charlie is deeply passionate about the intersection of technology, ethics, and societal impact. Known for a meticulous approach to complex problem-solving and a collaborative spirit, Charlie has led multiple initiatives to integrate ethical considerations into the AI development lifecycle. Charlie is a strong advocate for transparency and fairness in algorithms and actively contributes to open-source projects and industry discussions on AI governance. Outside of core research and development, Charlie enjoys mentoring emerging talent in the tech field and exploring the philosophical implications of advanced AI.
Charlie Gephart's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Developed and successfully implemented a novel framework for auditing AI systems for bias and fairness, which has been adopted by several organizations to enhance their AI governance practices.
Led a team of 10 engineers in the development of 'Project Veritas,' an open-source toolkit for explainable AI (XAI), significantly improving the transparency of machine learning models in critical applications.
Authored an influential paper titled 'The Algorithmic Conscience: Navigating Moral Mazes in AI,' presented at the International Conference on AI Ethics and Society (AIES 2023).
Recognized with the 'Tech for Good' Innovator Award for significant contributions towards developing AI solutions that address societal challenges and promote positive change.
The University of Chicago Booth School of Business - Year 2018
Williams College - Year 2008
Montclair Kimberley Academy
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