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Financial institutions are increasingly using automated machine learning models to assess creditworthiness, screen mortgage applications, and determine loan eligibility.

Discuss how algorithmic bias can affect the decisions made by these automated financial screening systems.

Your answer should consider:

  • the potential causes of algorithmic bias in credit-scoring models
  • the impact of this bias on individual applicants and socioeconomic equality
  • the methods available to reduce the risk of algorithmic bias in finance.
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Ethical and legal Questions

Practise Edexcel GCSE Computer Science Ethical and legal with exam-style questions for GCSE Computer Science. 35 questions covering Ethical and legal issues of personal data, Issues of AI, machine learning and robotics, and Intellectual property protection methods, matched to the Edexcel GCSE Computer Science (1CP2) specification and written in Paper 1 and Paper 2 style. Every question includes a full worked solution and mark scheme, so you can see where marks are awarded rather than just whether you got the answer right.

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Ethical and legal Questions

  1. GCSE
  2. /Computer Science
  3. /Ethical and legal