Building Responsible AI with Insights on Data Practices | TES
Dive into the complexities of responsible AI with Brian Suk, Associate CTO for Data Engineering and Analytics, in an engaging episode of the Technical Empowerment Series. Brian expertly navigates through the critical areas of data integrity, curation, and governance, demonstrating how these pillars are essential for developing AI that is fair, unbiased, and beneficial to society. Through compelling examples, he unveils the challenges and pitfalls of AI training data, from recruitment biases to disparities in healthcare, revealing how data can mirror societal inequalities.
The discussion not only highlights the problems but also offers solutions, including comprehensive data governance, inclusive design practices, and the importance of diverse perspectives in AI development.
Join the conversation on responsible AI and contribute to shaping a technology-driven future that is equitable for all.
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