Artificial Intelligence (AI) is revolutionizing how software testing is performed, allowing for faster and more accurate detection of defects. However, with this new technology comes new risks that must be managed to ensure the quality and reliability of the software being developed. In this talk, Adam Sandman will explore the concept of Risk-Based Testing (RBT) and how it can be applied in the age of AI. He will discuss the challenges that arise when implementing RBT, including the need to balance the benefits of AI with the risks of false positives and false negatives. Adam will also examine the various techniques and tools that can be used to manage these risks, such as model-based testing, exploratory testing, and risk analysis.

By the end of this talk, attendees will have a better understanding of how to effectively manage risk-based testing in the age of AI and ensure the quality and reliability of their software products.
- be able to identify potential risks and prioritise testing efforts
- understand how they can create a risk-adjusted test plan, allowing for a more targeted and efficient testing approach.