Machine Learning for High-Risk Applications
Approaches to Responsible AI
Patrick Hall, James Curtis & Parul Pandey
Machine Learning for High-Risk Applications
Approaches to Responsible AI
Patrick Hall, James Curtis & Parul Pandey
Paperback
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English
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Description
This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.
Patrick Hall is principal scientist at bnh.ai, a Cc.C.-based law firm focused on AI and data analytics, and visiting faculty at the George Washington University School of Business (GWSB). James Curtis is a quantitative researcher focused on US power markets and renewable resource asset management. Parul Pandey is a Machine Learning Engineer at Weights & Biases.
Patrick Hall is principal scientist at bnh.ai, a Cc.C.-based law firm focused on AI and data analytics, and visiting faculty at the George Washington University School of Business (GWSB). James Curtis is a quantitative researcher focused on US power markets and renewable resource asset management. Parul Pandey is a Machine Learning Engineer at Weights & Biases.