Responsible AI is a topic of growing interest for data practitioners for both research and the industry, especially in the context of ML Fairness. While implementing standardized fairness techniques into existing pipelines can be a challenge, Dataiku offers strategic resources for data scientists and analysts to seamlessly incorporate ML Fairness techniques into their workflows.
Triveni Gandhi, Senior Industry Data Scientist, and Paul-Marie Carfantan, AI Governance Manager, presented this webinar about practical applications of ML Fairness and how they support broader Governance, Responsible AI, and MLOps concepts in the organization.
Catch up on the recording here:
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