Last month nearly 200 technology executives attended an interactive online forum highlighting critical factors that enterprises must consider when managing risk in artificial intelligence (AI) and machine learning (ML). We were joined by the Future of Privacy Forum (FPF), industry experts from Mercedes-Benz, and researchers from Yale who have hands-on experience in deploying ML across a range of contexts and production environments.
Traditional approaches to governing AI and ML focus on explaining how models function internally, but these approaches are currently preventing the adoption of ML across the enterprise. We’re excited to share a recording of the online forum, where you can learn about new standards organizations are leveraging for managing risk in AI and ML, first described in a ground-breaking white-paper this summer. This standard introduces new practical processes and technical best practices “beyond explainability” alone that you can use today.
We hope you enjoy the discussion!