Y12 EC Data Science Wk4 L1 Review

Multiple Select

What are the key considerations for the ethical use of data for social or enterprise research purposes?

• Privacy

• Consent

• Data security

• Transparency

Multiple Choice

The mayor of a city is interested in learning what goals are most important for residents of the city. Members of her staff visit one of the many neighborhoods in the city and ask 20 residents to fill out a survey. The mayor is concerned that the survey may be biased and not accurately reflect the overall interests in her town. Which of the following strategies is MOST likely to address concerns about the data being biased or inaccurate

• Finding the same people surveyed previously to ask more detailed questions.

• Visiting the same neighborhood to collect more survey responses

• Visiting multiple new neighborhoods to collect more survey responses

• Having her staff collect the data using an app rather than paper surveys

• Adding more staff to verify that the responses were accurate

Multiple Select

What ethical issues arise from the SmartCity Data Analytics Project regarding privacy and consent?

• Lack of transparency in data collection

• Informed consent guidelines

• Potential for data misuse

• Public awareness of data usage

Multiple Choice

What does data privacy refer to?

• The process of protecting data from unauthorized access

• The ability of individuals to control or influence what information related to them may be collected and stored

• The analysis of data to find patterns and insights

• The graphical representation of data

Multiple Choice

Organisations can't use data for any other purpose without your 

• Date of Birth
• Photograph
• Consent
• Fingerprint

Multiple Select

What are the ethical implications of collecting data without explicit consent?

• Loss of autonomy

• Increased surveillance

• Improved public safety

• Enhanced data accuracy

Open Ended

What is the purpose of consent receipts in the SmartCity Data Analytics Project?

Multiple Choice

What are the key components of layered consent as mentioned in the project scenario?

• A short, readable summary

• Detailed legal documents

• Public engagement strategies

• Data-sharing agreements

Multiple Choice

How can the project ensure transparency and obtain informed consent from citizens?

• By providing clear signage and notices

• By using complex legal jargon

• By limiting data access to a few individuals

• By avoiding public engagement

Multiple Choice

What are the retention limits for data in the SmartCity project?

• Less than 7 days

• 7-30 days

• Indefinite retention

• Only during the project

Multiple Choice

What is the significance of anonymisation in data analytics?

• It allows for individual tracking

• It protects individual identities

• It increases data collection

• It reduces data security risks

Multiple Choice

What is the purpose of data minimisation in the context of privacy?

• To collect as much data as possible

• To collect the least data needed

• To share data with third parties

• To store data indefinitely

Multiple Select

What measures can be taken to protect citizens' privacy and ensure data security?

• Data minimisation

• Anonymisation

• Retention limits

• Privacy by design

Multiple Choice

What is the purpose of using vetted analytics sandboxes or data clean rooms?

• To prevent raw data export

• To enhance data visualization

• To increase data redundancy

• To simplify data entry

Multiple Choice

What are the potential consequences of bias in data collection and analysis?

• Unfair outcomes

• Increased accuracy

• Better decision-making

• More diverse datasets

Multiple Select

What is the importance of metadata management?

• It provides information about data

• It ensures data quality

• It facilitates better data governance

• It is not important

Multiple Choice

What does ICIP stand for and why is it important for Indigenous communities?

• Intellectual Cultural and Indigenous Property

• Indigenous Cultural and Intellectual Property

• Intellectual Property and Indigenous Culture

• Cultural Property and Indigenous Rights

Multiple Select

What are the key points for understanding data security?

• Bias

• Accuracy

• Metadata

• Copyright

Multiple Choice

What are the potential social, ethical, and legal issues that HealthTrack Solutions might face in the development of their fitness tracking app?

• Data privacy concerns

• User engagement strategies

• Marketing techniques

• App design principles

Multiple Select

How can bias in the dataset impact the app’s recommendations?

• Skewed plans

• Reduced accuracy

• Hidden exclusion

• Feedback loop

Multiple Choice

Jackson and Teah are developing a new feature for a social media app that connects users with similar hobbies. Which approach is LEAST likely to result in algorithmic bias?

• Offering the feature only to daily active users

• Selecting a diverse group of users from different regions for feedback

• Rolling out the feature only to young adults

• Testing the feature with company employees

Multiple Choice

A certain social media application is popular across the United States. The developers of the application are updating the algorithm used by the application to introduce a new feature that allows users of the application with similar interests to connect with one another. Which of the following strategies is LEAST likely to introduce bias into the application?

• Enticing users to spend more time using the application by providing the updated algorithm for users who use the application at least ten hours per week

• Inviting a random sample of all users to try out the new algorithm and provide feedback before it is released to a wider audience

• Providing the updated algorithm only to teenage users to generate excitement about the new feature

• Testing the updated algorithm with a small number of users in the city where the developers are located so that immediate feedback can be gathered

Multiple Choice

The developers of a music-streaming application are updating the algorithm they use to recommend music to listeners. Which of the following strategies is LEAST likely to introduce bias into the application?

• Making recommendations based on listening data gathered from a random sample of users of the application

• Making recommendations based on the most frequently played songs on a local radio station

• Making recommendations based on the music tastes of the developers of the application

• Making recommendations based on a survey that is sent out to the 1,000 most active users of the application

Multiple Select

What steps can the company take to ensure the algorithm is fair and inclusive?

• Expand and balance the dataset

• Track performance and safety by cohort

• Use fairness constraints/regularisers

• Onboarding captures preferences/constraints

Multiple Select

What are the potential consequences of biased recommendations for users?

• Health & safety risks

• Inequitable outcomes

• Loss of trust

• Legal/reputational exposure

Multiple Choice

What ethical issue is highlighted in the scenario regarding HealthTrack Solutions?

• Data privacy

• Copyright infringement

• User consent

• Content accuracy

Multiple Choice

Evelyn is working on a project and she wants to use a collection of public copyright licenses that enable the free distribution of copyrighted work. What should she use?

• Creative Commons

• Google Works

• Public Domain

• Websites

Multiple Choice

Sally is producing a video for a client and wants to use a popular song. What does she need to purchase to legally use the song?

• Duplicate

• Copyright

• Trademark

• License

Multiple Select

What are the ethical implications of using copyright material without permission?

• Respect for creators

• Moral rights breach (AU-specific)

• Fairness & trust

• Harm to the ecosystem

Multiple Select

How can the company ensure that it respects intellectual property rights while providing valuable content to users?

• By defining a pre-publish checklist

• By using written licenses with warranties

• By curating high-quality Creative Commons works

• By training the team on copyright/fair dealing

Multiple Select

What are the potential legal and reputational risks of copyright infringement for HealthTrack Solutions?

• Injunctions and damages for unlicensed use

• Public backlash from creators and users

• Content removals break user experience

• Time and cost spent on legal defence

Multiple Choice

What are the potential risks associated with the collection of metadata by the app?

• Tracking users' movements

• Improving user experience

• Collecting user feedback

• Enhancing app functionality

Multiple Select

What is some of the data about your social media usage that is being collected?

(Check all that apply)

• What you "Like", follow and unfollow.

• How long you look at something

• What posts you look at / don't look at

• Nothing

• Your location

Multiple Select

What are the privacy concerns associated with collecting and using metadata?

• Identifiability

• Tracking & profiling

• Secondary use & opacity

• Breach impact

Multiple Choice

How should HealthTrack Solutions address user consent and transparency regarding data collection?

• By providing vague information

• By collecting as much data as possible

• By ensuring users have no control over their data

• By stating what metadata is collected and how it is used

Multiple Choice

Companies must make clear what they are doing with the personal information is a part of

• Statement of Notice

• Privacy Policy

• Data Protection Act

• Terms of Service

Multiple Choice

Companies must make clear what they are doing with the personal information is a part of

• Statement of Notice

• Statement of Choice

• Statement of access

• Statement of security

Multiple Choice

What legal regulations must the company comply with to protect user privacy, and how can they ensure adherence?

• Privacy Act 1988 (Cth) & APPs

• Notifiable Data Breaches (NDB) scheme

• Data Protection by Design

• All of the above

Poll

How confident do you feel about this topic now?

• Very confident
• Somewhat confident
• Not confident