A government department adopts an AI system to help assess eligibility for bank loans. The system is statistically accurate overall, but consumer advocates discover that applicants cannot meaningfully challenge decisions because neither staff nor applicants understand how recommendations are generated.

According to Australia’s AI Ethics Principles, which pair of principles is MOST clearly in tension in this case?

Question

A government department adopts an AI system to help assess eligibility for bank loans. The system is statistically accurate overall, but consumer advocates discover that applicants cannot meaningfully challenge decisions because neither staff nor applicants understand how recommendations are generated.

According to Australia’s AI Ethics Principles, which pair of principles is MOST clearly in tension in this case?

BlackTom AI · Accepted Answer

Transparency in AI requires that stakeholders can understand how decisions are made, while accountability requires that organisations can be held responsible for outcomes and remedial action when harms occur. Australia’s AI Ethics Principles include, among others, transparency (explainability), accountability, fairness, contestability, reliability/safety, and human-centred values. The scenario: an AI used to assess loan eligibility is statistically accurate overall, but staff and applicants cannot understand how recommendations are generated, so applicants cannot meaningfully challenge decisions.

Step-by-step reasoning:
1. Identify the concrete facts: the AI produces decisions that are accurate on aggregate, yet its decision-making process is opaque to both staff and applicants.
2. Map facts to principles: opacity is a direct transparency/explainability failure (stakeholders lack understanding). The inability to meaningfully challenge or seek redress is an accountability failure (no effective way to hold the department responsible or correct errors).
3. Explain the tension: accountability presumes a degree of transparency — to investigate, justify, and correct decisions, decision logic must be accessible. When transparency is lacking (intentional or due to complexity), accountability is undermined because neither internal staff nor external stakeholders can audit, contest, or require remediation.
4. Outcome: the most salient tension is therefore between transparency and accountability.

Why the correct option fits and others do not:
- Transparency and accountability: directly implicated — opacity prevents meaningful challenge and undermines responsibility for outcomes.
- Reliability and competitiveness: reliability relates to consistent performance, competitiveness is unrelated to ethical contestability here.
- Fairness and contestability: contestability is relevant, but fairness (bias, equitable outcomes) isn’t indicated as violated—the system is “statistically accurate overall.”
- Explainability and sustainability: explainability is relevant, but sustainability (environmental/long-term resource use) is not implicated.
- Safety and human wellbeing: important generally, but the scenario focuses on explainability/accountability, not immediate safety or wellbeing harms.

Conclusion: The pair most clearly in tension in this case is Transparency and accountability, matching the provided answer.

类似问题

Why has principlism from medical ethics been especially influential in AI ethics?

According to John Tasioulas in his paper "Artificial Intelligence, Humanistic Ethics", which was a reading in this subject, what is one major problem with treating AI ethics mainly as a matter of optimization and preference satisfaction?

Please enter the completion code you received after passing the UNSW College Student AI Module with 100%. The code you received is case sensitive so you must make sure to copy it directly.

In the context of privacy and intellectual property, which of the following actions is considered appropriate?

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单