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SingaporeComputer ScienceQuick questions
Machine Learning and Emerging Technologies
Quick questions on AI ethics and automation impact explained: H2 Computing
5short Q&A pairs drawn directly from our worked dot-point answer. For full context and worked exam questions, read the parent dot-point page.
What are algorithmic bias?Show answer
Algorithmic bias is when a system produces systematically unfair outcomes for certain groups. It most often arises because a model learns from biased data: historical data reflecting past prejudice, or data that under-represents some groups, teaches the model to reproduce that unfairness. Biased feature or label choices, and biased deployment, also contribute.
What are responsible approaches?Show answer
Across these issues, responsible AI emphasises fairness (unbiased data and tested outcomes), transparency (explainable, auditable decisions), accountability (clear responsibility and human oversight), and privacy (lawful, consented, secured data).
What is q1?Show answer
What is algorithmic bias, and what is its most common cause? [2 marks]
What is q2?Show answer
Give one positive and one negative effect of automation on employment. [2 marks]
What is q3?Show answer
Why is accountability a concern when AI systems make decisions? [1 mark]
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