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Tech/CS – AI/ML Quiz 2 Ethical Considerations of AI and ML

By giorgos.i@citizensinpower.org / October 16, 2024

AI/ML Module Artificial Intelligence Tech/CS – AI/ML Quiz 2 Ethical Considerations of AI and ML

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Question 1 of 10

1. Question
What is a potential ethical concern related to the use of AI/ML?
- Increased safety and reduced accidents
- Decreased productivity
- Privacy and data security issues
Question 2 of 10

2. Question
What does RRI in AI/ML stand for?
- Responsible Research and Innovation
- Relative Risk Interpretation
- Responsible Research Institute
Question 3 of 10

3. Question
What is a way to ensure that AI and ML systems are used safely?
- Monitor AI and ML systems in production for any signs of problems or failures
- Implement safeguards early by design, to prevent AI and ML systems from causing harm
- Test AI and ML systems thoroughly before deploying them
- All of the above
Question 4 of 10

4. Question
How can we protect privacy in AI and ML (multiple answers needed)
- Data Minimisation: Collecting only the data necessary for AI systems
- Using data encryption and other security measures to protect data from unauthorised access
- Give people control over their data and how it is used
- Implementing AI models that require unrestricted access to all user data to ensure comprehensive analysis and optimal performance
Question 5 of 10

5. Question
When it comes to algorithmic bias, what does the term “fairness” refer to?
- Ensuring that the outcomes of AI systems do not unfairly disadvantage or discriminate against certain groups
- Ensuring that outcomes of AI systems are always 100% accurate in prediction models
- Ensuring that outcomes of AI systems adhere to the General Data Protection Regulations of the European Union
Question 6 of 10

6. Question
What are the ethical guidelines associated with AI/ML? (multiple answers needed)
- General Data Protection Regulation (GDPR)
- Ethical Guidelines for Trustworthy AI (EU)
- Digital Single Market regulation
- ePrivacy Regulation
Question 7 of 10

7. Question
What are the main sources of the Bias in the use of AI? (multiple answers needed)
- Lack of Explainability and Transparency
- Biased Training Data
- The technique of ML used
- Incomplete or Unrepresentative Data
Question 8 of 10

8. Question
What are the main legal responsibility challenges associated with ML and AI? (multiple answers needed)
- Healthcare-based ML making medical decisions
- Lethal autonomous weapon systems (LAWS) having the power to inflict harm on humans
- Trade-off to protect driver or pedestrians in autonomous cars
Question 9 of 10

9. Question
In the context of AI research, what does “dual use” refer to?
- The potential for AI technologies to be used for both positive and malicious purposes
- The use of AI in two different industries with two different purposes
- The collaboration between two research institutions for the research of creating an AI
Question 10 of 10

10. Question
What is a key step that can be taken to mitigate algorithmic bias in ML models?
- Ensure diverse representation in the training data
- Regularly update the training data
- Implement fairness-aware algorithms

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