Everything Everywhere All at Once: How to Tame Your AI Chatbot

Step into the multiverse of AI chatbots with this bagel themed workshop, inspired by “Everything Everywhere All at Once!”. Together we’ll navigate the opportunities of AI chatbots, anticipate what could go wrong and identify practical actions to manage the risks of a (potentially misbehaving) AI chatbot.

Through engaging stories and an interactive simulation workshop, you’ll compete with other teams to win coveted bagel bragging rights. You’ll imagine the pitfalls, implement safeguards and test their effectiveness when the bot goes live. Leaving the session, you’ll have a sharper eye for the risks and a playbook of practical strategies to stay ahead of them.

• Overview of Rapid and Relentless changes in AI capability
• How to navigation this dynamic environment
• Understand the benefits and risks of deploying AI chatbots
• Identify common chatbot failures and their legal and reputational implications
• Implement practical measures to appropriately manage risk

Key Learnings

1. Critical Skills: Adaptive Resilience and Continual Learning are key to navigate and thrive in the AI future
2. Imagination: the ability to “think outside the box” to identify AI risks and the importance of diversity
3. Practical Risk Mitigation: to proactively address challenges appropriately balancing AI opportunities with AI risk

About Schellie-Jayne

Schellie-Jayne Price (SJ) is the AI partner at Stirling & Rose, a law firm and emerging technology policy institute. As an award-winning technology lawyer, SJ has built machine learning models and supported organisations in their AI implementation, compliance and governance. She sits on the Law Council of Australia’s Digital Commerce & Financial Services Committee, Murdoch University’s AI Competency Centre, and the Advisory Boards of the WA Data Science Innovation Hub (WADSIH) and the Centre for Legal Innovation of the College of Law. SJ lectures at Murdoch University on technology and the future of law. SJ is a thought-leader on the nature of critical infrastructure and supporting legal and governance frameworks required for the AI infused future.