Data Processing Challanges

Question 1

Current Problem Areas

Answer 1

Persuasion
Education
Labour
Justice
Finance
e-commerce

Question 2

Example problem for persuasion

Answer 2

Profiling at large scale:

loss of privacy,
data accumulation,
dangers like data spills,

Question 3

Example, problem of data usage in education

Answer 3

Standardised tests as predictors of performance for instance, harming underprivileged students, who may perform well

Grade standardisation that discriminate, for example, the UK exam debacle

Question 4

Example, problem of data usage in labour markets

Answer 4

Job search engines
Job advertising
Job seeker vetting

Question 5

Example, problem of data usage in justice

Answer 5

Predictive policing - over, policing, some communities leads to more incarceration

Question 6

Example problems of data in finance

Answer 6

Feedback loops in credit, scoring

Question 7

GDPR compliance workout apps ask for age, gender height, weight and activity level based on this they recommend exercises. Consider both I said decentralised scenario where the phone has a library of exercises and works without use of data leaving the phone and a centralised scenario in which data is uploaded to a central server to generate the recommendation, under which conditions they would be in compliance with the GDPR

Answer 7

Decentralised Scenario: The app operates without data leaving the phone, and exercise recommendations are generated using a library of exercises stored on the device. This scenario is likely to be compliant with GDPR as it avoids the collection and processing of personal data.

Centralised Scenario: The app collects personal data and uploads it to a central server to generate exercise recommendations. To be compliant with GDPR, the app must obtain user consent for data collection, clearly state the purpose of data collection, implement appropriate data security measures, provide users with the right to access and delete their data, and comply with other GDPR regulations.

Question 8

Dating app, research research for wishes to study public profiles and posts in a dating app not private messages to see public data. She needs to sign up for the dating platform by signing up. She has to fill in a registration form including questions such as I am a woman looking for a man/woman users of the platform are aware that there is a very large number of people using the platform and potentially able to access their profile under which conditions could this research be executed?

Answer 8

The research could be executed if the participants of the dating app platform are fully informed about the purpose and scope of the research and explicitly consent to their public profiles and posts being analyzed. The researcher should also ensure that no private messages are accessed or used in the study, and that the data is anonymized and securely stored to protect the privacy of the participants. Additionally, the researcher should comply with any relevant legal and ethical guidelines for conducting research with human subjects.

Question 9

Discriminatory test case - cards used for calibrating colour. Printers were known as surely cards and depicted white Caucasian woman with light skin tones. This caused bad results in photos of people with other skin colours. Current face, tracking technologies, fitness, trackers, and gender recognition software have similar issues. What are other example of today Charlize cards?