This webinar tackles the question: How will we ensure that AI makes decisions people can trust?
Speaker
Chris Ambler
Agenda
13:00 - Event start with welcome and introductions
13:05 - Presentation: Building Responsible AI that People can Trust
13:45 - Q&A
13:55 - Summary
14:00 - Event close
Synopsis
Drawing on topics from his book ‘The Psychology of AI Decision Making’ (BCS Publishing, 2025), Chris Ambler explores the intersection of psychology, ethics, governance, resilience and AI testing.
Drawing on real-world examples, moral challenges, behavioural science, and practical testing strategies, attendees will discover why responsible AI is about far more than accuracy and performance.
This webinar demonstrates how human values can impact the design, deployment, resilience, and constant auditing of AI. We need to train people not just to think about technical metrics but also to consider the broader societal impact of AI decision-making.
Through relevant examples that include autonomous vehicles, algorithmic bias, automation, bias, ethical trade-offs, and the famous trolley problem, the presentation demonstrates why organisations must test not only what AI systems do but also how people interact with, interpret, and trust them.
Key Themes:
- Why psychology is the new core discipline for testing and governing AI.
- How and why human biases become biased through data drifting.
- The role of trust in AI adoption and decision making.
- The relationship between ethics, governance, and responsible innovation.
- Why good data is the foundation of trustworthy AI.
- Understanding sociocentric and individualistic value systems in global AI deployment.
- Practical approaches to testing fairness, transparency, accountability, and resilience.
- How organisations can build governance frameworks that support responsible AI at scale.
- The importance of continuous monitoring, auditing, and improvement throughout
About the speaker
Chris Ambler is a retired senior testing professional with more than 45 years of experience in the IT industry, specialising in Quality Assurance, software testing, and technology governance.
Throughout his career, Chris has held senior testing and quality leadership positions with organisations including Capita, Electronic Arts and Microsoft Game Studios, where he was responsible for assuring the quality of large-scale, business-critical systems. He holds degrees in both Computer Science and Psychology, is a Fellow of the British Computer Society (BCS), and a Graduate Member of the British Psychological Society (BPS).
Today, Chris focuses on the ethical, psychological, and governance challenges created by Artificial Intelligence. He is the author of The Psychology of AI Decision Making, a book that explores how human psychology, moral reasoning, bias, trust, and governance influence AI decision-making.
Combining decades of practical testing experience with academic insight into psychology and ethics, Chris brings a unique perspective to the challenge of building AI systems that are not only intelligent but also trustworthy, accountable, resilient, and aligned with human values. Because the future of AI will not be determined solely by what machines can do, but by what people are willing to trust them to do.
Our events are for adults aged 16 years and over.
This meeting is conducted in accordance with the BCS Code of Conduct for Meetings.
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Please note: if you have any accessibility needs, please let us know via groups@bcs.uk, and we’ll work with you to make suitable arrangements.
This event is brought to you by: BCS IT Leaders Forum supported by the BCS Artificial Intelligence specialist group.
