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
2
Q
What are some characteristics of untrustworthy AI?
A
- Black box decision making
- Unfair outcomes
- Lack of explainability
- Diminishes the human experience
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
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
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
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
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
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