AI applications and models are fueled by data and data context. Understanding and protecting this sensitive data is critical to ensuring successful deployments and proper use. In this webinar, we will: - Discuss important data protection laws organizations need to consider when deploying AI systems - Provide methods for preparing data for model training and how to protect against prompt injection - Share best practices for demonstrating transparency, preventing biases, and building public trust
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