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Safe AI in Pharmaceuticals: Validation, Data Integrity and Regulated AI in Life Sciences

Change Control When a Model Is Updated or Retrained

Quiz: Change Control When a Model Is Updated or Retrained

Explainability Expectations From Inspectors

Quiz: Explainability Expectations From Inspectors

Documentation Packs and Inspection Readiness

Quiz: Documentation Packs and Inspection Readiness

Overlap With the EU AI Act and Medical Device Rules

Quiz: Overlap With the EU AI Act and Medical Device Rules

Vendor Qualification for AI Platforms in a Regulated Estate

Quiz: Vendor Qualification for AI Platforms in a Regulated Estate

Governance Across Research, Quality and Information Technology

Quiz: Governance Across Research, Quality and Information Technology

Final exam: Safe AI in Pharmaceuticals: Validation, Data Integrity and Regulated AI in Life Sciences

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Quiz: Change Control When a Model Is Updated or Retrained

Safe AI in Pharmaceuticals: Validation, Data Integrity and Regulated AI in Life Sciences
Change Control When a Model Is Updated or Retrained
Quiz: Change Control When a Model Is Updated or Retrained

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Question 1 of 5

1. Question

What is the primary purpose of change control processes in regulated AI implementation within pharmaceutical environments?

To reduce the cost of model development
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To ensure that modifications do not compromise data integrity or regulatory compliance
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To speed up the deployment of new AI models
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To eliminate the need for clinical validation
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Question 2 of 5

2. Question

Which of the following is NOT a reason for initiating a change control process in AI models?

When new clinical data becomes available
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When regulatory requirements evolve
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When performance metrics indicate improvement
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When clinical decisions rely heavily on AI outputs
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Question 3 of 5

3. Question

What must be included in the documentation of model modifications according to the lesson?

The names of all clinical staff who reviewed the changes
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The names of data scientists who wrote the code
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Technical specifications, data sources, and validation results
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The cost of retraining the model
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Question 4 of 5

4. Question

Which group of stakeholders is responsible for evaluating clinical knowledge alignment in updated AI models?

The data scientists
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The clinical experts
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The quality assurance team
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The regulatory affairs specialists
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Question 5 of 5

5. Question

What must happen before implementing any change to an AI model according to the lesson?

The model must be tested by clinical staff alone
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The model must be validated against historical data only
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Impact assessments must be completed
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The change must be communicated to all users immediately
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