Responsible AI: Opportunities and Challenges for Testers
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Locked
Bill Matthews
Talk Description
As the use of AI in decision-making systems skyrockets, companies are under mounting pressure to ensure their AI deployments uphold ethical standards and inspire trust. Recent moves by many countries to introduce regulations targeting the use of AI are adding further pressure and the need for companies to show compliance.
Responsible AI is an emerging framework of principles and practices aimed at fostering the development of ethical, human-centred AI systems that prioritize robustness, reliability and trustworthiness.
This talk unpacks the essence of Responsible AI, shedding light on its core practices and highlighting the pivotal role testers can play in building responsible and trustworthy AI systems.
While this is a great opportunity for testers it is not without its challenges and we will dive into the obstacles and mindset shifts testers must navigate to collaborate in building Responsible AI systems.
We will end this talk with a recommended roadmap for testers who want to contribute to responsible AI systems.
What you’ll learn
By the end of this talk, you'll be able to:
- Appreciate what Responsible AI is and isn’t
- Understand the role of testing and testers with Responsible AI
- How to develop your own roadmap to get involved
Bill Matthews
Bill Matthews has been a freelance test consultant for over 20 years working mainly on complex integration and migration as a Test Architect and as a Technical Lead. He champions the use of modern and effective approaches to development and testing.
He is a regular contributor to the testing community at both local and international levels through conference speaking, coaching/mentoring and delivering workshops and training focusing on automation, performance, reliability, security testing and more recently artificial intelligence.
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