Responsible AI should be a foundational principle for an organization’s holistic AI efforts. Without responsible development, deployment, and use of AI systems, organizations run the risk of unintended harm and bias to a given population, among other negative consequences.
In this session presented by Triveni Gandhi, data scientist and responsible AI evangelist, discover how to integrate responsible AI into your organization’s existing AI life cycle and mitigate the risks of misuse and unintended consequences. The conversation will also include recommended strategies and methodologies for enacting systems grounded in traceability, transparency, and explainable, human-in-the-loop AI.