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

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

In AI, what does bias do?  1 pointSolves problems faster Augments human intelligence Gives systematic disadvantages to certain groups or individuals Identifies and addresses socio-technical issues raised by AI

What is AI ethics?  1 pointHow and why an AI system arrived at a particular outcome or recommendation  How to build and use AI in ways that align with human ethics and expectations A multidisciplinary field that investigates how to maximize AI’s beneficial impacts while reducing risks and adverse impacts  An organization’s act of governing AI through its corporate instructions, staff, processes, and systems

What are the causes of AI bias?

Which of these are good practices for addressing bias in AI? (Select all that apply)1 pointTechnical solution such as “zeroing out” biasSystematic auditing processes to check for biasUsing more inclusive/less biased dataUsing an adversarial attack on the AI system to change its outputs to be less biased