In this session you will learn the definition of data ethics and its relevance to L&D. The session emphasizes why data ethics matters; citing the impact on learning design, the significance of data in business, the rise of AI, and the consequences of neglecting data ethics. We'll discuss the challenges around prescriptive learning, unintended bias, and privacy concerns. You will discover actionable steps to ensure data ethics such as asking questions, promoting data literacy, implementing governance and policy, and adopting a Privacy by Design framework. Resources for further learning will be provided.
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