The prevalence of AI in decision-making systems has grown exponentially over the past decade. While the capabilities of these systems have evolved at a rapid rate, it is now widely acknowledged that many of these systems are not robust in real-world deployments. This has led to, for example, biased and “unfair” algorithms being deployed in critical decision-making systems.
This educational webinar will explore:
Register for this informative webinar on how the deployment of AI/ML technologies are introducing legal issues around fairness and bias that can impact your clients.
- Why, and how, algorithms can be biased
- Why Responsible Machine Learning is becoming an imperative
- Pending AI regulations including the Algorithm Accountability Act of 2022 and more