Identify principles and practices for responsible AI
It is imperative to reflect on the implications of AI in business. In this learning path, you will be provided with guidelines to assist in setting up principles and a governance model in your organization. You will also be provided with resources, best practices, and tools.
Modules in this learning path
At Microsoft, we’ve recognized six principles that we believe should guide AI development and use — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. For us, these principles are the cornerstone of a responsible and trustworthy approach to AI, especially as intelligent technology becomes more prevalent in the products and services we use every day. We recognize that every individual, company, and region will have their own beliefs and standards that should be reflected in their AI journey. We want to share our perspective as you consider developing your own guiding principles.
As AI becomes more prevalent, it’s imperative that organizations have governing practices in place to ensure that it’s used responsibly. Responsible use of AI starts with organizations establishing their own guiding principles, then choosing and operationalizing a system of governance. We recognize that every organization will have their own perspective on responsible AI, but we’re hopeful that our perspective will serve as a helpful starting point as others embark on their own AI journey.
At Microsoft, we have established our own governing practices for responsible AI. While every organization will have its own approach and we don’t have all the answers, we’d like to share what we’ve learned so far.