Principles to Practices- Operationalizing Responsible AI
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Responsible AI considerations need to be integrated into the ML development lifecycle
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Designing Responsible AI Systems
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Developing Responsible AI Systems
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Deploying Responsible AI Systems
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Open Source Responsible AI Assessment tools
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Demo
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QnA
Description:
Explore best practices for building responsible AI systems across the product development lifecycle in this 44-minute talk. Learn how to operationalize abstract concepts like fairness into concrete assessment plans, and discover key features of responsible AI to evaluate at each stage of development. Gain insights on organizational processes supporting ethical AI systems, with a focus on fairness as an exemplar. Follow along as the speaker shares tactical approaches and demonstrates open-source assessment tools, concluding with a Q&A session. Enhance your understanding of integrating responsible AI considerations into machine learning development for more ethical and effective AI products.
Building Responsible AI - Best Practices Across the Product Development Lifecycle