Summary
Through this module, we discussed the importance of embracing AI in a responsible, ethical way. We walked through some of the steps Microsoft is taking to prioritize responsible AI in the hope that our experience can help others. However, we recognize that we don't have all the answers. Every individual, company, and region has their own beliefs and standards that should be reflected in their path towards responsible AI. We should also recognize that as organizations and as a society, our steps towards responsible AI need to continually evolve to reflect new innovations and lessons from both our mistakes and accomplishments. The processes, tools, and resources mentioned can be a starting point from which organizations can create their own AI strategy.
Now that you have reviewed this module, you should be able to:
- Prepare for the implications of responsible AI
- Describe principles of responsible AI
- Establish a system for AI governance
- Take actions for AI governance
- Engage across teams and organizations to implement responsible AI principles
- Take inspiration from how responsible AI is approached at Microsoft
Use these resources to discover more
Tip
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- To assess how committed your organization currently is in responsible AI practices and which next steps to take, read our Responsible AI Maturity Model.
- To learn more about collaborative industry initiatives on responsible AI, read the Partnership on AI homepage.
- To learn more about Microsoft tools and practices to evaluate, understand, and make informed decisions about your AI systems, review Responsible AI tools and practices .
- To learn more about open-source tools to build fair AI systems, read the FairLearn homepage.
- To learn more about inclusive design practices, read the Microsoft Inclusive Design homepage and the Inclusive 101 Guidebook.