Understanding the BIG Argument for AI safety cases

Understanding the BIG Argument for AI safety cases

This webinar explores BIG Argument's development, methodology roots, and role in scalable, responsible AI assurance.

By University of York Open Lectures

Date and time

Wed, 14 May 2025 04:00 - 05:00 PDT

Location

Online

About this event

  • Event lasts 1 hour

In this webinar, the authors of the Balanced, Integrated and Grounded (BIG) Argument paper will explore how the BIG was developed, how it builds on CfAA’s leading methodologies (PRAISE, SACE, and AMLAS), and how it supports safe, responsible innovation across sectors like healthcare, robotics, and transportation.

Designed to meet the growing complexity of AI systems, BIG offers a practical, scalable, and sustainable approach to creating comprehensive AI safety cases. It addresses both the technical and sociotechnical challenges of assurance, including those posed by powerful and fast-evolving Frontier AI.

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University of York Open Lectures

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