Equip yourself with a toolkit for balancing technological innovation with ethical considerations, ready to apply in your next project. Ideal for professionals committed to fostering equitable learning environments, this session bridges theory with real-world application, guiding you toward more effective, fair, and impactful learning design.
You will learn to harness diverse data sets, conduct effective bias audits, and implement ethical AI frameworks, which are crucial for anyone in the field of training and development. This interactive session contains actionable techniques for enriching your projects with inclusivity, enabling you to make informed decisions in technology use.
In this session, you will learn how to:
- Identify and describe common biases in generative AI-generated content, pinpointing specific examples where these biases may impact training and development materials
- Apply strategies to mitigate biases in AI-generated content, utilizing diverse data sets and conducting bias audits to ensure inclusivity across learning experiences
- Develop an ethical framework for the use of generative AI in training and development, integrating principles that support equitable and inclusive content creation
- Compare and contrast existing generative AI technologies, evaluating their potential biases and suitability for various types of learning environments and content creation needs
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