Responsible AI is one of the hottest topics today. It makes AI a positive force, rather than a threat to the society and to itself. In this session, we will examine the most critical aspects of Responsible AI — accountability, explainability and societal impacts. We will share thought leading ideas of how to drive AI responsibly to increase fairness and trust in AI, maintain compliance, protect your reputation and most of all — do wonderful things safely.

Learn about the current trends influencing the machine learning and data science landscape, including ML augmentation and automation, MLOps and model management, explainability and open source. Employ emerging practices to manage and govern data science corporate initiatives, and which platforms to choose. We will discuss high-level some complexities and how enterprises can become more effective.