There is rapid technical progress and widespread adoption of Artificial Intelligence (AI) based products and workflows influencing many aspects of human and business activities like banking, healthcare, advertising and many more.
Although accuracy of AI models is undoubtedly the most important factor considered while deploying AI based products, there is urgent need to understand how AI can be designed to operate responsibly.
Responsible AI is a framework that each software developing organization needs to adapt to build customer trust in the transparency, accountability, fairness, and security of deployed AI solutions. At the same time a key aspect to making AI responsible is to have a development pipeline that can promote reproducibility of results and manage the lineage of data and ML models.
This tutorial will throw light on these aspects of Responsible AI with a working example demonstrating the concept. The intent of the tutorial will be to equip the audience with enough knowledge of the concepts along with code to gain appreciation for the importance of building Responsible AI.
Dr. Mukta Paliwal