Building Accountable AI Programs: Mapping Emerging Best Practices to the CIPL Accountability Framework

This report showcases how 20 leading organizations are developing accountable AI programs and best practices on the ground. Our research shows that organizational accountability is fundamental to the responsible development and deployment of AI. Organizations recognize the need to demonstrate AI accountability as a business imperative, especially as the expectations of consumers, business partners, shareholders, and regulators continue to grow. They also recognize that AI governance works best when it leverages knowledge from other disciplines, including data protection, information security, human rights, cybersecurity, and more.

Our paper’s findings capture the early stages and emerging best practices in creating accountable AI programs. These best practices will continue to evolve as organizations assess and update their programs against developing technology, industry standards, and a growing body of regulatory and co-regulatory requirements.

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