Introduction to Trustworthy AI Exercises (Part 3)

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Match the Trustworthy AI term to the definition/concept.

Sort elements

Ethical AI
Responsible AI
Transparent AI
Governed AI
Interpretable & Explainable AI

The things you shouldn’t do or avoid doing

Being careful in the way that you do the things you might be able to do

Provide visibility into how it’s being done

Audit, Measure, Regulate, Guide, Secure, Provide Process for AI activities

Understand System behavior and make black boxes less so

Question 2 of 7

2. Question
What new threats does AI introduce (select all that apply)
- Cybersecurity threats
- Financial threats
- No significant new threats
- Human threats
- Physical Threats
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Question 3 of 7

3. Question
AI systems are able to fool humans into believing things that they see, hear, and read that aren’t real
- True
- False
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Question 4 of 7

4. Question
Data-centric trustworthy challenges include (select all that apply):
- Selecting only perfect datasets
- Data is full of implicit and explicit biases
- Data is too easy to access and process
- Data ownership, security, privacy, and sharing issues
- Decisions on what data to exclude or include
- Building upon a base on wisdom
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Question 5 of 7

5. Question
AI ethics require (Select the best answer)
- Coming up with your own ethical concepts based on company or industry standards.
- Adopting established industry best-practices on ethical concepts
- Developing an iterative ethical framework that considers the scope of all ethical AI concerns
- Letting customers and users tell you what their ethical concerns are
- Awaiting legal and regulatory guidance before pursuing ethical & responsible AI efforts
- Establishing a public-facing ethical AI board with high-profile, well-known figureheads
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Question 6 of 7

6. Question
Building a Comprehensive Trustworthy AI Framework requires involvement primarily of stakeholders from within which group(s) in your company/organization.
- Data Engineering and Data Science groups
- C-suite
- All groups at the organization
- IT and data science groups
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Question 7 of 7

7. Question
The primary job of AI ethics rests with: (Select the best answer)
- Legal and compliance teams
- AI project owners
- Data scientists and machine learning engineers
- Professional ethicists
- All AI stakeholders in the organization
- None of the above
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