AI Ethics and Governance Framework
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Questions and Answers

What is a primary consideration in the design, development, and deployment of AI systems?

  • Human well-being and safety (correct)
  • Efficiency
  • Innovation
  • Profitability

    • AI systems should prioritize operational effectiveness over stakeholder obligations.

    False

    What is data lineage in the context of AI systems?

    Understanding where data comes from to its end-use

    To ensure fairness in AI decision-making, organizations should minimize _______________________ through data and model design.

    <p>bias</p> Signup and view all the answers

    What is the purpose of defining clear roles and responsibilities in AI governance?

    <p>To ensure accountability</p> Signup and view all the answers

    AI systems are designed to prioritize human-centric values.

    <p>True</p> Signup and view all the answers

    Match the following AI governance components with their descriptions:

    <p>Internal Governance Structures = Defining clear roles and responsibilities to manage AI systems Operations Management = Ensuring AI implementations balance operational effectiveness and stakeholder obligations Stakeholder Interaction and Communication = Ensuring appropriate policies are crafted and made known to users and stakeholders</p> Signup and view all the answers

    What is the primary goal of AI governance in decision-making?

    <p>To ensure that the decision-making process is explainable, transparent, and fair</p> Signup and view all the answers

    What is the primary focus of the Model AI Governance Framework in Singapore?

    <p>Design, application, and use of AI in general</p> Signup and view all the answers

    The Model AI Governance Framework is only applicable to organizations in the technology industry.

    <p>False</p> Signup and view all the answers

    What is the primary objective of the Model AI Governance Framework?

    <p>To build stakeholder confidence in AI, through organizations' responsible use of AI to manage different risks in AI deployment.</p> Signup and view all the answers

    The Model AI Governance Framework was first released in _______________ and had a second edition in _______________.

    <p>2019, 2020</p> Signup and view all the answers

    What is an important aspect of human-centricity in AI implementations?

    <p>Human oversight and involvement</p> Signup and view all the answers

    The Model AI Governance Framework provides a risk-impact matrix for assessing the risks associated with AI implementations.

    <p>True</p> Signup and view all the answers

    Match the following principles of the Model AI Governance Framework with their descriptions:

    <p>Build stakeholder confidence = Assist organizations in demonstrating reasonable efforts to align internal policies, structures and processes with relevant practices in data management and protection Assist organizations in demonstrating reasonable efforts = Build stakeholder confidence in AI, through organizations' responsible use of AI to manage different risks in AI deployment</p> Signup and view all the answers

    What is the name of the privacy principles referenced in the Model AI Governance Framework?

    <p>OECD Privacy Principles</p> Signup and view all the answers

    What is one of the key aspects of fairness in AI systems according to the EC recommendations?

    <p>Increasing societal fairness</p> Signup and view all the answers

    AI systems should always prioritize efficiency over explainability.

    <p>False</p> Signup and view all the answers

    What are the three key aspects of technical robustness and safety in AI systems?

    <p>Resiliency to attack, accuracy, and reliability</p> Signup and view all the answers

    According to the EC framework, AI systems should ensure respect for _______________ and quality and integrity of data.

    <p>privacy</p> Signup and view all the answers

    What is the primary goal of human agency and oversight in AI systems?

    <p>To ensure accountability</p> Signup and view all the answers

    AI systems should always prioritize short-term gains over long-term sustainability.

    <p>False</p> Signup and view all the answers

    Match the following EC framework requirements with their descriptions:

    <p>Human agency and oversight = Respect for fundamental rights and human oversight Technical robustness and safety = Resiliency to attack and general safety Diversity, non-discrimination and fairness = Avoidance of unfair bias and accessibility Societal and environmental well-being = Sustainability and environmental friendliness</p> Signup and view all the answers

    What is the primary goal of accountability in AI systems?

    <p>Auditability, minimisation and reporting of negative impact</p> Signup and view all the answers

    Study Notes

    Model AI Governance Framework

    • Recognized the importance of AI technologies, Singapore released the first edition of the Model AI Governance Framework in 2019, with a second edition in 2020.
    • Provides practical guidance to organizations to address key ethical and governance issues surrounding AI implementations.

    Features of the Model

    • Algorithm-agnostic: Does not focus on specific AI methodology.
    • Technology-agnostic: Does not focus on specific systems, software or technologies.
    • Sector-agnostic: Includes considerations that are common across different industries.
    • Scale and Business-model-agnostic: Does not focus on organizations of a particular scale or the form of business (B2C, B2B).

    Objectives of the Model

    • Build stakeholder confidence in AI through responsible use of AI to manage different risks in AI deployment.
    • Assist organizations in demonstrating reasonable efforts to align internal policies, structures, and processes with relevant practices in data management and protection.

    Guiding Principles

    • Organizations using AI in decision-making should ensure that the decision-making process is explainable, transparent, and fair.
    • AI solutions should be human-centric, protecting the interests of human beings, including their well-being and safety.

    Internal Governance Structures and Measures

    • Clear roles and responsibilities need to be defined to monitor and manage the implementation, use, and maintenance of AI systems.
    • Relevant roles be defined with specific responsibilities towards the use of AI.
    • Risks posed by AI systems can be managed within the organization's risk management framework/system.

    Operations Management

    • Ensure unfair bias is minimized through data and model design.
    • Good governance ensures AI implementations balance the competing needs of operational effectiveness and efficiency and the organization's obligations to various stakeholders.
    • Data quality and selection are of utmost importance.
    • Data lineage and provenance record are essential.

    Stakeholder Interaction and Communication

    • Ensure appropriate policies are crafted and made known to users and stakeholders.

    EC Recommendations on AI Governance

    • Fairness: AI systems should ensure equal and just distribution of both benefits and costs.
    • Explicability: AI systems should be transparent, and the capabilities and purpose of such systems openly communicated.

    Requirements of EC Framework

    • Human agency and oversight: Fundamental rights, human agency, and human oversight.
    • Technical robustness and safety: Resiliency to attack, including security, fall-back plans, and general safety.
    • Privacy and data governance: Respect for privacy, quality, and integrity of data and access to data.
    • Transparency: Traceability, explainability, and communication.
    • Diversity, non-discrimination, and fairness: Avoidance of unfair bias, accessibility, and universal design, and stakeholder participation.
    • Societal and environmental well-being: Sustainability and environmental friendliness, social impact, society, and democracy.
    • Accountability: Auditability, minimization, and reporting of negative impact, trade-offs, and redress.

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    Related Documents

    GRC Week 11-13 PDF

    Description

    Learn about AI model governance framework, human-centricity in AI implementations, and risk-impact matrix of human involvement. This quiz covers the importance of AI technologies and model AI governance framework in Singapore.

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