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How Explainable AI is Critical to Building Responsible AI

Posted Feb 24, 2021 | Views 385
# AI
# Responsible AI
# Fiddler Labs
# Fiddler.ai
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Krishna Gade
CEO & Co-Founder @ Fiddler Labs

Krishna is the co-founder and CEO of Fiddler, an Explainable AI Monitoring company that helps address problems regarding bias, fairness and transparency in AI. Prior to founding Fiddler, Gade led the team that built Facebook’s explainability feature ‘Why am I seeing this?’. He’s an entrepreneur with a technical background with experience creating scalable platforms and expertise in converting data into intelligence. Having held senior engineering leadership roles at Facebook, Pinterest, Twitter and Microsoft, he’s seen the effects that bias has on AI and machine learning decision making processes, and with Fiddler, his goal is to enable enterprises across the globe solve this problem.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

Training and deploying ML models have become relatively fast and cheap, but with the rise of ML use cases, more companies and practitioners face the challenge of building “Responsible AI.” One of the barriers they encounter is increasing transparency across the entire AI lifecycle to not only better understand predictions, but also to find problem drivers. In this session with Krishna Gade, we will discuss how to build AI responsibly, share examples from real-world scenarios and AI leaders across industries, and show how Explainable AI is becoming critical to building Responsible AI.

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