Impacts of Digital Technology · Summer Term
Algorithmic Bias and Fairness
Examining the ethics of algorithmic bias and its societal consequences.
Key Questions
- Can an algorithm ever be truly neutral if it is trained on data created by humans?
- Analyze how algorithmic bias can perpetuate or amplify societal inequalities.
- Critique methods for identifying and mitigating bias in artificial intelligence systems.
National Curriculum Attainment Targets
GCSE: Computing - Environmental and Ethical Impacts
Year: Year 10
Subject: Computing
Unit: Impacts of Digital Technology
Period: Summer Term
Suggested Methodologies
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