Question 8How 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

AI governance delivers trustworthy AI through several steps:

1. Testing AI for bias: AI systems can be prone to biases, which can lead to unfair or discriminatory outcomes. AI governance involves testing AI algorithms and models to identify and mitigate any biases present in the system. This ensures that the AI is fair and unbiased in its decision-making.

2. Establishing requirements for accountability, responsibility, and oversight: AI governance sets clear guidelines and requirements for the accountability and responsibility of AI systems. This includes defining who is responsible for the actions and decisions made by AI, as well as establishing oversight mechanisms to ensure that AI systems are used ethically and responsibly.

3. Augmenting, not replacing, human intelligence: AI governance recognizes that AI should be used to augment human intelligence, rather than replace it entirely. This means that AI systems should be designed to work alongside humans, complementing their skills and abilities. By doing so, AI governance ensures that AI is used in a way that benefits society and respects human values.

4. Assigning responsibility to the party closest to the risk: AI governance involves assigning responsibility for the risks associated with AI systems to the party that is closest to those risks. This means that the developers, operators, and users of AI systems are accountable for any potential harm or negative consequences that may arise from the use of AI. By assigning responsibility in this way, AI governance promotes transparency and accountability in the development and deployment of AI systems.

Overall, AI governance plays a crucial role in delivering trustworthy AI by addressing biases, establishing accountability, promoting human-AI collaboration, and assigning responsibility appropriately.