Free and open learning resources on Data Science and AI topics.
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This course introduces you to the essentials of stakeholder engagement and ways to actively identify and involve key stakeholders when procuring or developing an AI product. The learning journey also takes you through the where in the AI project lifecycle you might engage stakeholders, and the why it is worthwhile to engage stakeholders.
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Course overview This short course introduces the CAIR3 framework for thinking about how to responsibly design, develop, and deploy AI...
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Course overview This course covers the fundamentals of algorithmic fairness, the most common biases in machine learning, and the importance...
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Course overview This course focuses on incorporating ethical AI principles into the systems design process and is taught using a...
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Course overview This course aims to address the priority of transparency in responsible AI. We will study both transparent machine...
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Course overview This course is offered via the AI Standards Hub and requires a separate registration. If you have limited...
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Course overview This expert-level course deepens and further advances the skills in the intermediate-level course. It is taught using a...
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Course overview This course is alternatively titled "How learning to lie with data is essential to prevent AI from being...
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Course overview Artificial Intelligence is widely used in sensitive domains such as healthcare, insurance, recruitment and credit scoring. In these...
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Course overview AI has transformative potential in healthcare by delivering consistent, high-quality care for patients while relieving workload pressures in...
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Course overview This course explains what is meant by bias in the context of machine learning algorithms, how bias can...