Navigating Uncertainty in AI Projects

Do you know how to mitigate the technology risks inherent in AI projects?

Like any technology, AI comes with it's own set of risks, from emergence of unexpected capabilities, hallucinations, creative interpretations to unexpected real-world behaviours. 

But you have to know and understand the risks to be able to mitigate them:

👉 Rigorous testing and ongoing validation

👉 Human oversight (even more so for critical tasks, it's human-in-the-loop)

👉 Bias audits and transparent documentation

👉 Collaboration across expertise domains

👉 Stress-testing and simulation in complex or adversarial environments

Watch the video to see an overview of AI specific challenges and the solutions that help mitigate them.