Lecture 3: Data Ethics

Question 1

Cambridge Analytica Summary

Answer 1

• Collected data without permission through the App
• Lied about deleting the data to the owner (Facebook)
• Used the data to serve a client that had no legal rights on the data (Trump campaign)

Question 2

Two points of view:

Answer 2

1. Protecting ourselves as data producers

2. Protecting others as data analysists

Question 3

GDPR

Answer 3

General Data Protection Regulation

Question 4

Take home points Own Data

Answer 4

• Do not give away your own data
• Data is power
• Don’t give it away for free
• Share your info carefully

Question 5

GDPR Takeaway

Answer 5

• Is game-changing
• Affect companies worldwide
• Clear about what information you collect
• Huge fines
• Internet users have legal rights

Question 6

GDPR Rights

Answer 6

• Collecting data
• Access to personal information
• Change or delete

Question 7

Collecting data

Answer 7

• Personal data is anything that can be used to identify you
• People have the right to be told if anyone is collecting or using their personal information:
• > Why they have collected your personal information
• > How long they will keep it for
• > Who they will share it with

Question 8

Access to personal information: You have the right to see the personal information that an organization has about you

Answer 8

• They must show you the information within 1 month
• The way that they show you the personal information that they have about you must be:
• > Easy to understand
• > Easy to get
• > In clear and plain language

Question 9

Change or delete

Answer 9

• People have the right to ask for their personal information to be changed if it is wrong
• If people don’t want the organisation to have their personal information, they have the right to have it deleted
• If there is a reason for keeping the information, it’s possible to keep it but it needs to be adequately motivated

Question 10

Data Ethics Canvas

Answer 10

• Know the data
• Explore the impacts
• Plan your engagement
• Integrate ethical practices

Question 11

Know the data

Answer 11

• Data Sources
• Right around data sources
• Limitations in data sources
• Ethical and Legislative context

Question 12

Explore impacts

Answer 12

• Your reason for using the data
• Positive effects on people
• Negative effects on people
• Minimising negative impact

Question 13

Plan your engagement

Answer 13

• Engaging with people
• Communicating your purpose
• Openness and transparency]
• Sharing data with others

Question 14

Integrate ethical practices

Answer 14

• Ongoing implementation
• Reviews and iterations
• Your actions

Question 15

What does the client want from you?

Answer 15

• Solve a problem
• Contact person (CP) wants to be part of your work
• He/she needs to like you
• Keep the power dynamics in balance

Question 16

Understanding each other’s expectations

Answer 16

• Listen to what they want to achieve with your help
• Tell them what you can offer and what boundaries there are
• Create a honest relationship

Question 17

Learning from each other

Answer 17

• They are the maximum experts about their business
• You are the maximum expert in data science
• Still, they might know which data analytics method works best for them
• You might know how to better implement it
• Give value to each other’s knowledge

Question 18

Trust

Answer 18

• Builds on respecting each other
• If you understand each other expectations
• Good for a crisis

Question 19

Communication

Answer 19

• Promote your narrative
• Create a safe space to work
• Always answer your client messages and emails as soon as possible
• You can build trust with communication

Question 20

Diplomacy

Answer 20

• Prevent conflicts with transparency

- Solve conflicts with words

Question 21

Marketing

Answer 21

• Yourself

- Your product

Question 22

Relationship failure

Answer 22

• No communication
• No trust
• No learning from each other
• Don’t understand each other’s expectations
• No appreciation for you and your product