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William Harris is a renowned AI researcher and ethicist with over 15 years of experience at the forefront of artificial intelligence development and its societal implications. He currently holds a senior research fellow position at a leading university, focusing on the development of explainable AI (XAI) systems and frameworks for responsible AI governance. William is deeply passionate about ensuring that AI technologies are developed and deployed in a manner that is fair, transparent, and beneficial to humanity. He frequently consults with governmental bodies and private organizations on AI policy and ethical best practices, and is a compelling public speaker known for his ability to distill complex technical concepts for a broader audience. His work bridges the gap between cutting-edge research and real-world application, always with a keen eye on the long-term impact of AI.
William H's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Published a critically acclaimed book exploring the inherent biases in AI algorithms and proposing novel methodologies for creating more equitable AI systems. The book has become a staple in university curricula and a reference for policymakers.
Awarded for groundbreaking contributions to the field of Explainable AI (XAI), particularly for developing a novel framework that significantly improves the interpretability of deep learning models in critical applications like healthcare and finance.
Established a non-profit initiative that brings together academics, industry leaders, and policymakers to develop and promote ethical guidelines and standards for AI development and deployment globally.
Delivered a widely-cited keynote address on 'Navigating the Ethical Landscape of Generative AI,' influencing discourse and strategy among thousands of attendees from over 50 countries.
W. P. Carey School of Business – Arizona State University - Year 2022
University of Iowa
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EvenUp is a legal technology company that leverages generative AI to draft demand packages for personal injury attorneys. Their software analyzes medical records, bills, and other case documents to produce comprehensive demand letters, aiming to help law firms secure larger and faster settlements for their clients while improving operational efficiency.
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