Module 2: AI Impacts on People and Responsible AI Principles: Characteristics of Trustworthy AI Systems Flashcards

1
Q

What are the characteristics of trustworthy AI?

A
  • Human-centric (positive impact on the human condition)
  • Accountability (safe, secure and resilient, valid and reliable, fair)
  • Transparency
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2
Q

What are some characteristics of untrustworthy AI?

A
  • Black box decision making
  • Unfair outcomes
  • Lack of explainability
  • Diminishes the human experience
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3
Q

Name of examples of AI uses and impacts.

A
  • AI can be faster and more accurate in its results.
  • AI can process a huge volume of data at tremendous velocity
  • AI can remove human error and bias in decision making
  • AI can automate and accelerate mundane and repetitive tasks
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4
Q

What are some challenges posed by AI?

A
  • AI can compound existing biases and create new ones
  • AI’s predictions or outcomes may have unfair or adverse consequences for individuals because it follows a formula
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5
Q

Name some trustworthy AI principles that need to be established and implemented.

A
  • Ensure the intended audience understands the value AI brings or adds
  • Security and integrity needs to be ensured to prevent reverse engineering to identify individuals
  • AI must enable privacy rights to be exercised
  • Responsible AI processes must be operationalized with a risk management framework (which will include privacy measures and requirements, ensuring accountability of the organization and auditability)
  • Needs to be robust enough to handle more users and data without malfunctioning
  • AI systems need to be safe and secure (not hackable)
  • AI needs to be transparent and explainable (to users and those who need to understand how it is being used)
  • AI should enable human oversight and promote human values
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6
Q

Which elements are required to establish and implement AI principles?

A
  • Collective effort across the organization
  • Cultural shift supported by leadership
  • Governance structures that bring together diverse roles within an organization
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7
Q

How can responsible AI practices be operationalized?

A
  • Understand where AI is used and its role within the organization
  • Technical standards that are clear, shared and adhered to
  • AI playbooks help ensure AI follows the rules of the organization
  • Guidelines
  • Update internal organizational structures to reflect new roles & responsibilities
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8
Q

Name some elements which are essential to bridging the gap between high-level policy declarations and practical implementation.

A

Technical standards, risk management frameworks, AI playbooks and guidelines

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