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Safe AI in Energy and Utilities: Grid Operations, Forecasting and Infrastructure Duties

Smart Meter Data, Privacy and Consent

Quiz: Smart Meter Data, Privacy and Consent

Trading and Market Models Under Market Abuse Rules

Quiz: Trading and Market Models Under Market Abuse Rules

Safety Cases for Automated Control Functions

Quiz: Safety Cases for Automated Control Functions

Supplier Assurance and Model Dependency Risk

Quiz: Supplier Assurance and Model Dependency Risk

Incident Response When an AI System Affects Supply

Quiz: Incident Response When an AI System Affects Supply

Regulatory Reporting and Board Assurance

Quiz: Regulatory Reporting and Board Assurance

Final exam: Safe AI in Energy and Utilities: Grid Operations, Forecasting and Infrastructure Duties

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Quiz: Regulatory Reporting and Board Assurance

Safe AI in Energy and Utilities: Grid Operations, Forecasting and Infrastructure Duties
Regulatory Reporting and Board Assurance
Quiz: Regulatory Reporting and Board Assurance

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Question 1 of 5

1. Question

What standard must grid operators meet regarding information security management for their AI systems?

BS EN ISO 27001 clause 8.2.3
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BS EN ISO 27001 clause 5.1.2
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BS EN ISO 27001 clause 11.2.1
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BS EN ISO 27001 clause 14.3.4
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Question 2 of 5

2. Question

What must organisations maintain to demonstrate that their AI systems operate within acceptable risk parameters?

Real-time data feeds from sensors
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Records of AI model performance and validation processes
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Monthly forecasts of energy demand
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Public statements about AI usage
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Question 3 of 5

3. Question

Which of the following is a requirement for board-level oversight of AI systems in energy organisations?

Board members must personally develop AI models
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Board members must understand AI decision-making processes
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Board members must approve all AI data sources
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Board members must conduct AI system testing
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Question 4 of 5

4. Question

What must be included in the regular reporting structures provided to board members about AI systems?

Only financial impacts of AI decisions
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Quantitative data and qualitative assessments of AI system behaviour
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The names of all AI developers
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The cost of AI infrastructure upgrades
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Question 5 of 5

5. Question

What is one purpose of feedback loops in the regulatory reporting process for AI systems?

To reduce the number of AI models in use
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To ensure regulatory findings inform future AI improvements
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To eliminate the need for human oversight
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To increase the speed of AI deployment
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