Prepare To Develop AI Solutions On Azure (Part 2)
Understand Considerations For Responsible AI Some core principles for responsible AI that have been adopted at Microsoft are given below: Fairness Everyone should be treated equally by AI systems. Research on machine learning systems' fairness is quite active, and there are software tools available for assessing, measuring, and reducing unfairness in machine learning models. But tooling is insufficient on its own to guarantee fairness. From the start of the application development process, take fairness into account by carefully examining training data to make sure it is representative of all possibly impacted subjects and assessing prediction performance for your user population over the course of development. Reliability and Safety AI systems must function safely and reliably. Before being released, AI-based software applications must undergo stringent testing and deployment management procedures, just like any other software. Software engineers must also consider the probabili...