Digital ethics and Usage Flashcards

1
Q

Define Ethics

A

Ethics are the moral principles that govern a person’s behaviour or the way in which they conduct an activity.

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2
Q

Define Law

A

Rules that regulate the actions of people and is enforced by the threat of penalties.

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3
Q

Define Digital ethics

A

Revolves around the question of how one should handle data and new technologies in a responsible manner.

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4
Q

Define ethics of data

A

How we generate, record, use and share data

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5
Q

Define ethics of algortihms

A

How we interpret data via AI, machine learning and robots

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6
Q

Define ethics of practice

A

Devising responsible innovation and professional codes to guide science.

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7
Q

What is ownership of data?

A

When an individual has ownership over their personal information. Its unlawful and unethical to collect someone’s personal data without their consent.

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8
Q

What is ethical transparency?

A

Data subjects have a right to know how you plan to collect, store, and use their data.

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9
Q

What is privacy?

A

Even if you give consent to collect data and store personally identifiable information (PII), that doesn’t mean they want it publicly available.

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10
Q

What are some popular approaches to privacy?

A

De-identification and data security

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11
Q

What is intention in terms of data collection?

A

Why do you need data? What do you gain from it and what changes you’ll be able to make after analysis.

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12
Q

What are outcomes in terms of data collection?

A

The outcome of data analysis may cause individual harm to individuals or groups of people called a disparate impact.

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13
Q

What is GDPR?

A

General data protection regulation. It imposes obligations onto organisations anywhwre as long as they taeget or collect data related to people in the EU.

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14
Q

What are the 7 principles of GDPR regulation?

A
  1. Lawfulness, fairness & transparency
  2. Purpose limitation
  3. Data minimisation
  4. Accuracy
  5. Storage limitation
  6. Integrity & Confidentiality
  7. Accountability
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15
Q

What are the 5 ethical principles?

A
  1. Human-centric & Socially beneficial
  2. Fair
  3. Explainable & Transparent
  4. Secure & Safe
  5. Accountable
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16
Q

Human-centric & Socially beneficial

A

AI solutions should be designed to support human goals and objectives

17
Q

Fair

A

Being legitimate, honest and impartial

18
Q

Explainable & Transparent

A

Being transparent in what you do and being able to explain the decisions that AI solutions take.

19
Q

Secure & Safe

A

AI solutions should be implemented in a way that the data used is secure and that its operation is safe, including protecting the privacy of people.

20
Q

Accountable

A

Responsibility is in the hands of the developers and their leadership.