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AI Training for Lawyers: Using and Advising on AI Without Professional Risk

Data Protection Advice for AI Deployments

Quiz: Data Protection Advice for AI Deployments

Evidence Issues: Deepfakes, Authenticity and Provenance

Quiz: Evidence Issues: Deepfakes, Authenticity and Provenance

Litigation Risk From Automated Decisions and Discrimination

Quiz: Litigation Risk From Automated Decisions and Discrimination

Building a Verification Workflow for AI Assisted Drafting

Quiz: Building a Verification Workflow for AI Assisted Drafting

Firm Level Policy, Supervision and Training Records

Quiz: Firm Level Policy, Supervision and Training Records

Advising on AI Incidents and Regulatory Notification

Quiz: Advising on AI Incidents and Regulatory Notification

Final exam: AI Training for Lawyers: Using and Advising on AI Without Professional Risk

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Quiz: Litigation Risk From Automated Decisions and Discrimination

AI Training for Lawyers: Using and Advising on AI Without Professional Risk
Litigation Risk From Automated Decisions and Discrimination
Quiz: Litigation Risk From Automated Decisions and Discrimination

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Question 1 of 5

1. Question

Under UK discrimination law, can an AI system discriminate even if it does not explicitly use protected characteristics?

No, discrimination requires explicit use of protected characteristics
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Yes, indirect discrimination occurs if proxy variables correlate with protected characteristics
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No, only human decision makers can discriminate
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Yes, but only if the system was intentionally designed to discriminate
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Question 2 of 5

2. Question

Who is liable if a vendor’s AI system discriminates?

Only the vendor who built it
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Only the organisation deploying it
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The organisation deploying it is liable even if the system was built by an external vendor
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Neither the vendor nor the organisation is liable
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Question 3 of 5

3. Question

What is the negligence risk when deploying an AI system?

Only that the system might fail technically
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Failure to test the system for accuracy and fitness for purpose before deployment, resulting in harm to affected individuals
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Only failure to obtain vendor indemnity
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Only if the system is from a small vendor
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Question 4 of 5

4. Question

What documentation should an organisation maintain to manage discrimination risk?

Only a log of when the system was deployed
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Records of testing performed, results, and steps taken to address identified bias
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Only vendor documentation
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Nothing, testing is not necessary before deployment
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Question 5 of 5

5. Question

What monitoring should occur after an AI system is deployed?

No monitoring is necessary after deployment
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Monitoring only if a discrimination complaint is filed
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Ongoing monitoring for bias, including outcome rates across groups, and willingness to remove the system if bias cannot be remedied
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Monthly testing only
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