Automated Decision Making (OCR A-Level Computer Science): Quizzes
📚Quizzes
Practise the questions
12 questions from this quiz
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Practise the questions
12 questions from this quiz
What does automated decision-making use to make decisions without human intervention?
What does automated decision-making use to make decisions without human intervention?
Computer systems, algorithms, and AI
In which area is automated decision-making widely used?
In which area is automated decision-making widely used?
Healthcare
Who might be responsible if an automated system makes a harmful decision?
Who might be responsible if an automated system makes a harmful decision?
Developer, organisation, or machine
What should individuals understand about automated decisions affecting them?
What should individuals understand about automated decisions affecting them?
How and why decisions were made
What employment impact can automated systems have?
What employment impact can automated systems have?
Replace roles traditionally done by humans
Who may be disadvantaged by automated systems they cannot understand or challenge?
Who may be disadvantaged by automated systems they cannot understand or challenge?
Those without digital literacy/resources
What causes bias in automated decision-making algorithms?
What causes bias in automated decision-making algorithms?
Training on biased data
What can incorrect or incomplete data lead to in automated decisions?
What can incorrect or incomplete data lead to in automated decisions?
Harmful outcomes
What must automated healthcare systems respect according to cultural issues?
What must automated healthcare systems respect according to cultural issues?
Cultural practices and values
What benefit does automated decision-making provide regarding human error?
What benefit does automated decision-making provide regarding human error?
Reduces human error and bias
What privacy concern does automated decision-making raise?
What privacy concern does automated decision-making raise?
Extensive data collection and misuse
What common mistake involves believing algorithms have no bias?
What common mistake involves believing algorithms have no bias?
Assuming algorithms are neutral