AI Ethics Framework

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Questions and Answers

Match the type of AI system with its corresponding risk level:

Spam filters = Little or no risk Technical programs = Limited risk Social profiling systems = Unacceptable risk AI systems affecting basic rights = High risk

Match the type of AI system with its corresponding assessment requirement:

AI systems with little or no risk = No assessment required AI systems with limited risk = Application of ethics principles AI systems with high risk = Pre- and post-conformity assessments AI systems with unacceptable risk = No development or use allowed

Match the AI stakeholder with its corresponding scope:

Public entities = Within KSA Private entities = Within KSA Non-profit entities = Within KSA Consumers = Within KSA

Match the AI ethics principle with its corresponding application:

<p>AI ethics principles = Limited risk AI systems Statutory requirements = High risk AI systems Ethical compliance = Little or no risk AI systems Pre-conformity assessments = Unacceptable risk AI systems</p> Signup and view all the answers

Match the AI principles with their corresponding descriptions:

<p>Principle 1 = Requires AI systems to be built in a safe way that respects the privacy of the data collected and upholds the highest levels of data security processes and procedures. Principle 2 = Requires AI systems to be trained on data that are cleansed from bias and is representative of affected minority groups.</p> Signup and view all the answers

Match the type of AI system with its corresponding consideration:

<p>AI systems with little or no risk = Recommended ethical compliance AI systems with limited risk = Application of ethics principles AI systems with high risk = Consideration of statutory requirements AI systems with unacceptable risk = No development or use allowed</p> Signup and view all the answers

Match the biases that may occur with their corresponding reasons:

<p>Data bias = Due to data, representation or algorithms Representation bias = Due to data limitations Algorithm bias = Due to the composition of algorithms</p> Signup and view all the answers

Match the principles with their corresponding goals:

<p>Principle 1 = To ensure AI systems that are private and secure Principle 2 = To ensure AI systems that are fair and unbiased</p> Signup and view all the answers

Match the consequences of not following the principles with their corresponding outcomes:

<p>Discrimination against historically disadvantaged groups = Not following Principle 1 Data and system breaches = Not following Principle 2 Reputational harm = Not following Principle 1 Psychological harm = Not following Principle 2</p> Signup and view all the answers

Match the actions required with their corresponding principles:

<p>Ensuring just, fair, non-biased, non-discriminatory and objective standards = Principle 1 Building AI systems in a safe way that respects the privacy of the data collected = Principle 2 Training AI systems on data that are cleansed from bias = Principle 1 Designing AI systems with mechanisms and controls to govern and monitor their outcomes = Principle 2</p> Signup and view all the answers

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