Did you know that AI models can be biased? Data scientists, AI developers and organizations understand the importance of responsible AI, however the challenges they face are finding the right tools to help them identify, debug, and mitigate erroneous behavior from AI models.

Researchers, organizations, open-source community, and Microsoft have been instrumental in developing tools and services to empower AI developers. Traditional machine learning model performance metrics are based on aggregate calculations, which are not sufficient in pinpointing AI issues that are human-centric. For example, mitigating issues such as unfairness in employment, loan approvals or medical diagnoses using AI Systems that could have negative impact on people, society or human-rights.

👩🏽‍💻Join the #MarchResponsibly challenge and enhance you AI debugging skills with #MSLearn's new FREE hands-on module on Responsible AI dashboard!

💡Check out the mind-blowing features and capabilities:

👉🏽 Get startup and share your completion badge everyone: https://aka.ms/march-rai/lresponsible-rai-dashboard

🎉Happy Learning! :)