Join Joachim Asare, AI/ML Engineer & Master’s in Design Engineering @Harvard University, as he explores responsible methods for extracting and leveraging big data to train LLMs. This session covers key ethical considerations, including privacy, transparency, and fairness throughout the AI development lifecycle.

What You'll Learn

• Ethical Data Extraction: Understand best practices for sourcing and using big data responsibly.

• AI Fairness & Transparency: Learn how to ensure accountability and fairness in AI training.

• Live Demonstration: See a hands-on demo of responsible big data usage for LLMs.

• Real-World Applications: Discover how these principles apply to real AI projects and industry use.

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