Trust in AI systems

An AI user and the system need to build trust with one another. It's just as crucial for us to be able to create and use efficient models as it is for us to help consumers trust machine learning models. Testing a model's capacity to forecast a known outcome is a good place to start when developing trust. In this episode of simulated reality we have Suresh Chintada who would be talking about how we can build trust in AI systems, its implications on emerging enterprise adoption of AI and their challenges.