How does AI governance deliver trustworthy AI? 1 pointBy testing AI for bias By establishing requirements for accountability, responsibility, and oversight  By augmenting — not replacing — human intelligence By assigning responsibility to the party closest to the risk

What is a first step toward mitigating bias in AI?  1 pointPutting into place a governance structure that works at scale  Assembling diverse teams  Developing different rules for different risks  Designating a lead AI ethics official

AI Strategy and Governance Agenda

Trustworthy AI systems used in highstake needs to havea.fairness, accountability, and explainabilityb.fairness, accountability, explainability, privacy, and controllabilityc.accountability, explainability, privacy, and controllabilityd.fairness, explainability, and controllability

What is AI Governance?A framework that manages an organization's use of AI with processes, controls, and tools.A framework that identifies an organization's security weaknesses in AI-specific tools.A way to manage data security breaches within an organization's AI ecosystem.A way for an organization to design and build AI to respect people and benefit society.I don't know this yet.

Why is responsible AI practice important to an organization?Responsible AI practice can help drive revenue.Responsible AI practice can help improve operational efficiency.Responsible AI practice can improve communication efficiency.Responsible AI practice can help build trust with customers and stakeholders.