Ethical AI and Professional Codes of Conduct Flashcards

1
Q

ethics is concerned with…

A

how people behave

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2
Q

ethics in AI for financial services?

A

crucial to provide correct info and advice - ethical behaviour

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3
Q

define AI

A

technologies with the ability to perform tasks that would otherwise require human intelligence

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4
Q

examples of human behaviours AI can emulate

A
  • speech recognition
  • visual perception
  • language translation
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5
Q

machine learning?

A

type of AI that allows computers to learn from large datasets without being explicitly programmed

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6
Q

non-traditional data?

A

data that hasn’t been historically used to perform the task in question

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7
Q

automation?

A

reduces/removes role of humans in performing tasks

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8
Q

‘human-in-the-loop’

A

when there’s human involvement in the feedback loop for AI learning

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9
Q

examples of where AI can be used in finance

A
  • fraud detection
  • risk management
  • regulatory compliance
  • personalised banking
  • investment advice
  • predictions of stock performance
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10
Q

symbolic AI?

A

relies on translating human knowledge into programmed rules

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11
Q

statistical AI?

A

relies on the analysis of data

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12
Q

‘black box’

A

term referring to the inability to understand how AI works

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13
Q

ethical concerns around AI?

A
  • unauthorised handling of personal data
  • truth of system outputs
  • lack of explainability
  • lack of traceability
  • insufficient understanding of societal impacts
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14
Q

benefits of AI?

A
  • consumer protection
  • cyber security
  • financial crime
  • competition
  • stability of markets & firms
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15
Q

CISI AI Codes of conduct?

A
  • personal accountability
  • client focus
  • conflicts of interest
  • respect for market participants
  • professional development
  • be aware of capabilities
  • respect others and the environment
  • speak up & listen up
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16
Q

codes of conduct for professionals working in computing?

A
  • avoid harm
  • be honest & trustworthy
  • be fair & don’t discriminate
  • respect privacy
  • honour confidentiality
  • contribute to society
17
Q

principles for AI in society?

A

benificience, non-maleficence, autonomy, justice, explicability

18
Q

is there an increasing consensus by governments and regulators about the need for a variety of governance factors to be addressed?

A

yes

19
Q

the AI act?

A

controls the development & use of AI

focuses on strengthening rules around data, transparency, human oversight & accountability

20
Q

EU AI Act principles?

A

human agency & oversight
technical robustness & safety
- privacy & data governance
- transparency
- diversity, fairness
- societal environenmtal wellbeing
- accountability

21
Q

beneficence?
non-maleficence?

A

beneficence = social good, promoting & including wellbeing

non-maleficence = not doing harm

22
Q

two key components in any AI system?

A

data & algorithms

23
Q

data?

A

provides foundation for ai system

must be valid, correct and usable for ethical, design & legal purposes

24
Q

what does testing a system for correctness involve?

A

fairness/bias/unconscious bias

privacy/security

meeting explanatory, transparency and legal requirements

25
Q

what does building trust in AI need to include?

A

people and institutions

26
Q

what should be addressed as part of the process to make guidelines effective & to change professionals’ behaviour?

A
  • education & empowerment
  • avoid ethics watching
  • provide loyalty to guidelines
  • make ethics a priority
  • encourage ethically motivated efforts to improve AI systems
27
Q
A