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Choose the best response for each of the questions below. Then select “Check your answers.”
A company uses a decentralized organizational model when it comes to AI implementation. What might be a disadvantage of their decentralized model when compared to a centralized model?
They can’t utilize the cross sharing of knowledge.
Their ability to rapidly innovate is extremely inhibited.
They lack the ability to create standards at the grassroots level.
The nature of decentralization can constrain innovation.
Why is it important to clearly define an AI framework when adopting a responsible AI approach?
A clearly defined AI framework provides a reference point for AI systems, helping them adjust their own behavior to remain in compliance and eliminate bias.
Having a clearly defined AI framework doesn’t matter when adopting a responsible AI approach because AI systems won’t always be compliant with the framework.
A clearly defined AI framework establishes consistent guidelines across the organization, building trust in AI systems.
A clearly defined AI framework establishes consistent guidelines across the organization to ensure all teams are evaluating AI systems consistently and compliance is maintained.
You want to implement a governance approach to AI within your organization that will incorporate a diverse array of outside experts and senior leaders from within the company. What will be part of your governance approach?
First-party AI system.
Third-party AI system.
What role do humans play in the creation and use of AI?
Humans play a role in creating the rules and policies that govern AI.
Humans play a role in the entire lifecycle of an AI model, from design and development to continuous evaluation and improvement.
Humans play a role in assessing AI performance and should run occasional quality assurance tests.
AI systems don’t require humans, they’re designed to operate without human involvement.
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