Practice Adaptive Learning Systems And Predictive Decision-making (34.17.1) - Ethical Considerations in the Use of Automation

Practice: Adaptive Learning Systems and Predictive Decision-Making

Lesson 34.17.1Ethical Considerations in the Use of Automation

Practise this section

8 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is an adaptive learning system?
Show hintHide hint
Think about how AI can learn from its environment.
Question 2.
Give a real-world example of predictive decision-making.
Show hintHide hint
Consider modern technologies like GPS systems.
3Question 3.
What are adaptive learning systems capable of?
- Making pre-programmed decisions
- Evolving and learning from data
- Being static
Show hintHide hint
Consider how these systems change over time.
4Question 4.
True or False: Accountability in AI refers to the responsibility for actions taken by AI systems.
- True
- False
Show hintHide hint
Think about who should be responsible.
Question 5.
Critically analyze a scenario where an adaptive system fails to predict an essential engineering need, affecting public safety. What ethical considerations arise?
Show hintHide hint
Reflect upon the consequences of such failures in real-life scenarios.
Question 6.
You are tasked with designing a new adaptive learning system. What ethical framework would you implement to guide its development and deployment?
Show hintHide hint
Think about societal impacts and stakeholder values.

4 more questions in this section. Enroll free to practise them all.