Is bias creeping into AI, or is it already present in the data that is fueling algorithms? Fairness in AI poses a difficult and subjective question. Sometimes there can be a trade-off between accuracy and fairness of ML algorithms. AI fairness is tricky because you cannot design a randomized experiment with race or gender. Instead, you need to understand and monitor data throughout the lifecycle of AI from generation, collection, sampling, algorithm engineering, etc.
Join Krishna Gade to learn how to address engineering and organizational challenges and operationalize these concepts in a production AI system—and crucially, create a culture of trust in AI.
Krishna Gade is the founder and CEO of Fiddler Labs, an enterprise startup building an explainable AI engine to address problems regarding bias, fairness, and transparency in AI. An entrepreneur and engineering leader with a strong technical experience of creating scalable platforms and delightful consumer products, Krishna previously held senior engineering leadership roles at Facebook, Pinterest, Twitter, and Microsoft.
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