Technical Risk Analysis for AI Systems - Bill Matthews
Hardly a week goes by without a report of some demonstration of the Unintelligence of AI systems; some are funny and harmless but others more serious and harmful. Most testers are already aware that AI systems can be challenging to test and the evidence of Unintelligence in such systems suggests that we don't yet have a clear model of how to approach testing of AI system.
In this talk I will share a framework for examining Risks (Business, Ethical and Technical) related to AI Systems that I have been developing as ways for testers to think critically about what is important to test. In particular, this talk will focus on the Technical Risks that come from the AI Architecture, Data and Learning.
- Understand the breadth of the Risks from the Business, Ethical and Technical viewpoints
- Understand in more detail the Technical Risks
- Strategies and tactics for testing Technical Risks in AI systems
The Joy of Record and Playback in Test Automation - Louise Gibbs00:26:08
Breaking Boundaries Using Charles - Suman Bala00:28:33
So You Think You Know Appium Because You Know Selenium - Wim Selles00:30:46
Testing Progressive Web Apps (or How to Achieve App-iness) - Elizabeth Fiennes and Callum Akehurst-Ryan00:29:34
World Without WebDriver? Automated Test Strategy for Modern Web Applications - Bart Szulc00:29:33
Deploy Microservices Confidently Using Consumer Driven Contracts - Henrik Stene00:28:16
Accelerate: The Science of DevOps - What You Need to Know - Emily Bache00:30:39
99 Second Talks - Test.bash(); Manchester 201900:25:58