The BIG Argument - a whole systems approach to AI safety cases

As AI and autonomous systems become wide-spread across society the use of safety cases to assure such technologies are becoming increasingly relied on by developers and regulators to address the emerging challenges these technologies present. Our BIG Argument introduces a way to address these challenges in a sustainable, scalable and practical way.

It demonstrates that prioritising safety can go hand in hand with innovation.

The BIG Argument brings together the our industry-recognised and peer reviewed frameworks and methodologies:

1. Principles-based Ethics Assurance (PRAISE)
2. Assurance of Autonomous Systems in Complex Environments (SACE)
3. Assurance of Machine Learning for use in Autonomous Systems (AMLAS)

It's a cross domain approach which addresses AI safety at both the technical and the sociotechnical levels across AI, autonomous systems and robotics. Importantly, it enables and supports the safe deployment of frontier AI models addressing a critical gap in development and deployment.