Responsible AI: Opportunities and Challenges for Testers

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.