Let's Talk VDML Podcast Episode 2 - Risk Assessment: Focus on Feral AI

Let's Talk VDML | Practical Conversations about AI Assurance
VDML (Validation Driven Machine Learning) is a methodology developed by KJR to guide the development of robust and reliable Machine Learning (ML) models. VDML is a practical method of undertaking responsible AI.
Hosted by Dr. Mark Pedersen, ACT General Manager Drew Hammond and KJR General Manager Remote Data Technologies Aaron Bell reveal how to effectively identify the tasks for AI projects and understand the associated risks.
You will hear about the use of AI in detecting feral animals, such as rabbits, and the challenges of bias and fairness in the detection models.
The episode explores the importance of defining the problem accurately, understanding the context, and evaluating potential consequences. The discussion delves into risk assessment, ethical considerations, and the critical role of human oversight in AI implementations to ensure reliable and ethical outcomes.
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