Risk Management in AI Flashcards

1
Q

what are the forms of AI classified by capability?

A
  • narrow or weak AI
  • general or strong AI
  • superintelligent AI
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2
Q

narrow/weak AI?

A
  • most common form of AI
  • designed/trained for a particular task
  • operate under a predefined set/sequence, cannot perform tasks beyond their programming
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3
Q

general/strong AI?

A

form of AI that possesses ability to find solutions of unfamiliar tasks without human intervention

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4
Q

superintelligent AI?

A

surpasses human capabilities in every field

presents ethical and safety concerns

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5
Q

forms of AI based on functionality?

A
  • reactive machines
  • limited memory
  • theory of mind
  • self-aware AI
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6
Q

reactive machines?
limited memory?
theory of mind?
self-aware AI?

A

reactive machines = most basic types of AI systems with no memory, cant use past experiences to inform decisions

limited memory = can use past experiences

theory of mind = machines have the ability to understand emotions, beliefs & intentions

self-aware AI = advanced system which has a conscience

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7
Q

forms of AI based on mode of learning?

A

supervised learning = trained on a labelled dataset

unsupervised learning = model without explicitly instructed data

semi-supervised/reinforcement learning = in between supervised & unsupervised

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8
Q

risk management = ?

A

the process of determining the acceptable level of risk and ensuring risk exposure remains below the threshold

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9
Q

according to COSO, risk management encompasses…?

A
  • aligning risk appetite & strategy
  • enhancing risk-response decisions
  • reducing operational surprises and losses
  • identifying and managing multiple and cross-enterprise risks
  • improving deployment of capital
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10
Q

risk management consists of what components?

A
  • risk identification
  • risk assessment
  • risk mitigation
  • risk monitoring and reporting
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11
Q

risk management frameworks?

A

COSO integrated framework
ISO risk management
BCBS

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12
Q

which areas need to be managed from an ethical perspective?

A
  • bias & fairness
  • autonomous decision making and accountability
  • privacy and data security
  • job loss and economic impact
  • human dignity and agency
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13
Q

principles of ISO/IEC TR address…?

A

misuse (over-reliance), disuse (under-reliance), abuse (negative outcomes resulting)

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14
Q

ISO/TEC principles must include…?

A
  • accountability
  • fairness/non-discrimination
  • transparency & explainability
  • professional responsibility
  • promotion of human values
  • privacy
  • human control of technology
  • community involvement & development
  • human-centred design
  • respect for the rule of law
  • respect of international norms of behaviour
  • safety & security
  • environmental sustainability
  • labour practices
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15
Q

risk management principles from ISO on risk management that requires AI related supplements

A

inclusive, dynamic, best available info, human & cultural factors, continual improvement

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16
Q

additional AI related considerations?

A

guidelines on ethical use & design of AI

technology trends & advancements in various areas of AI

stakeholder expectations on availability of AI-Based solutions

how the use of AI can affect organisations’ ability to meet contractual obligations

17
Q

risk identification?

A

fundamental step in the broader process of risk management

to identify risks, document in risk register and give a risk rating

18
Q

risk register?

A

AKA a risk universe

specific set of risks related to development & deployment of AI

19
Q

NIST AI Risk management framework examples of potential harms caused by AI?

A

harm to people
harm to ecosystems
harm to organisations

20
Q

machine learning risks

A

risks related to deployment
risk related to production

21
Q

risk related to deployment

A

data privacy
information security
bias

22
Q

risk related to production

A

cyber security
business resilience

23
Q

risk assessment

A

evaluates 2 dimensions, impact & likelihood

24
Q

4 common strategies for risk mitigation

A

avoidance
reduction
transfer
acceptance

25
Q

which is the only feasible risk mitigation strategy?

A

risk reduction

26
Q

risk monitoring?

A

ongoing process of tracking & reviewing identified risks and effectiveness of the mitigation strategies

27
Q

risk reporting?

A

involves communicating current risk status, changes, breaches and trends

28
Q

trustworthy AI systems must have which characteristics?

A

validity & reliability
safe
secure & resilient
accountable & transparent
explainability & interpretability
privacy enhanced
fair w/ harmful bias managed

29
Q

four functions composing a core risk management process for AI?

A

govern
map
measure
manage