AI is no longer just software to be tested for accuracy and performance. It is shaping decisions that affect people, fairness, and trust. This talk argues that ethical testing must become a core part of our profession, not an optional extra.
Building on my book, ‘Psychology of AI Decision Making’ (BCS Publishing, 2025), it makes the case that testers cannot do this alone. We need genuine collaboration among testers, psychologists, ethicists, and theologians, because AI systems increasingly operate in moral and cultural spaces, not just technical ones. The key question is no longer only does it work? but should it behave this way, and for whom?
This matters now because AI is being deployed faster than we can understand its human impact. Bias, data drift, and moral assumptions are already embedded in live systems. The testing community has a choice. It can either step forward and shape responsible AI, or be left to just validate decisions we didn’t design and don’t fully understand.
From the newest tester to the Head of Department, this is a moment of rapid change. The world of testing is about to evolve, and ethical testing will define what professionalism looks like next.
- 1. Testing has crossed a boundary Testing AI is not just about verifying code and functionality. It is about testing the decision-making infrastructure that defines the outcomes affecting real people. Just concentrating on accuracy and performance is no longer enough.
- 2. The question has changed Asking “Does it work?” is now a secondary question. The real question is “Should it behave this way, and how are people affected?” That is a moral question, not just a technical one.
- 3. This change defines the future of the profession The testing community now faces a choice. Do we grow our skills to govern and help to define responsible AI, or do we just become the auditors of decisions that we didn't design or even fully understand? Do we want to be ‘inside’ or ‘outside’ the loop? Ethical testing will define what professionalism means next.
This talk is for the entire testing community because ethical AI is no longer a specialist concern:
- New and early-career testers who want to understand where the profession is heading, how their role will remain relevant in an AI-driven world, and to find a sense of purpose beyond test cases and tools.
- Experienced testers, test managers, and Heads of Department who are grappling with AI-enabled systems, data risk, and accountability. The talk reframes testing as a strategic function governing training data, test data, and decision behaviour.
- Testers working alongside data scientists, AI engineers, risk, compliance, and governance teams, offering a shared language to engage with psychologists and ethicists.
- Anyone who recognises that as AI systems make decisions, testers will be expected to understand and challenge their human, ethical, and data-driven consequences.
