Digital Privacy AI (trust + data protection) / GDPR Flashcards

1
Q

What is AI ?

A

Machine based system that can do predictions, recommendations and decisions using machine and human inputs (performs tasks in similar ways to human)
=> AI is limited for certain tasks

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2
Q

AI risks

A

Misbehavior of AI
Bias
Abuse of AI systems by humans
Black box algorithms

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3
Q

EU artifice intelligence act (AI act)

A

1st law to regulate AI systems
Risk based approach

  1. Unacceptable risk (social scoring)
  2. High risk (specific requirements for risk management)
  3. Limited risk (transparency obligation)
  4. Low risk (exempt from regulation)
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4
Q

What makes AI more reliant?

A

Transparency and reliability

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5
Q

Problems of Black box algorithms ?

A

opaque AI systems, no information about how AI takes decisions and actions

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6
Q

Solution of Black box algorithms ?

A

Explainable AI (XAI):

=> makes AI more transparent by providing clear explanations of their decisions => transform into glass boxes
=> Transparency helps users to understand how AI models work (improving performance and building trust)

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7
Q

EU digital strategy

A
  1. Technology in the interest of humanity
  2. Democratic and sustainable society
  3. Fair and competitive economy
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8
Q

Trust is distinguished by

A

Control
Cooperation
Confidence
Predictability

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9
Q

Propensity

A

tendency to trust based on experience (gender, age, cultural background)

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10
Q

Key factors influencing trust

A

Performance
Process
Purpose

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11
Q

Trust definition

A

bridge in the relationship between a truster and a trustee, in a function to reduce complexity (heuristic) and include a willingness to take risks

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12
Q

Digital Trust radar tool (DTR)

A

filters and access specific guidelines on responsible and trustworthy AI

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13
Q

Data privacy

A

protects our personality and fundamental rights (foundation of our democracy)

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14
Q

Data protection

A

Data relating to an identified or identifiable natural person

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15
Q

Processing should be:

A

lawful
appropriate
proportional
transparent
accurate

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16
Q

Consent must be given…

A

voluntarily and explicitely

17
Q

High risk in data processing

A

arises from the use of new technologies (in particular concerning sensitive personal data, health ethnicity)

18
Q

Data Protection Impact assessment (DPIA)

A

=> tool for evaluation on data processing
=> analyzes documents and evaluates data processing and its risks to identify and reduce them
=> contains measures to protect privacy and fundamental rights

19
Q

Data compliance

A

refers to law, regulations and industry standards related to data privacy
=> ensures that data is collected, stored, processed and transmitted in a secure and ethical manner (respecting rights to privacy)

20
Q

Core GDPR principle

A

Data protection by design & by default

=> ORG should implement technical and organizational measures to makes sure that systems and processes are designed around data privacy

21
Q

Condition of data processing

A

when there is lawful basis allowing the processing of the data OR data subject gives clear affirmation of consent (revocable at any time)

22
Q

Why documentation requirements ?

A

data collection and processing must be documented
=> allow ORG to maintain overview of where personal data is used (which system and the reason)

23
Q

companies processing personal data systematically should nominate a..

A

data protection officer (DPO)

24
Q

Roles

A

Data subject (interest in the protection of data)
Data controller (set purpose and means of the processing)
Data processor (processes on behalf of the controller)

25
Q

Processing

A

any operation performed on personal data

26
Q

GDPR regulates ?

A

regulate the processing and using of personal data of European citizens

27
Q

Personal data

A

Any information relating to an identifiable or identified natural personal