Session + Live Q&A

Operationalizing Responsible AI in Practice

Enabling responsible development of artificial intelligent technologies is one of the major challenges we face as the field moves from research to practice. Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learning in many current and future real-world applications.  Now there are calls from across the industry (academia, government, and industry leaders) for technology creators to ensure that AI is used only in ways that benefit people and “to engineer responsibility into the very fabric of the technology.”   Overcoming these challenges and enabling responsible development is essential to ensure a future where AI and machine learning can be widely used. In this talk, we are discussing the latest practical approaches to responsible AI and demonstrate how our latest open source and cloud integrated responsible ML capabilities empower data scientists and developers to understand and improve ML models better. 


Speaker

Mehrnoosh Sameki

Senior Technical Program Manager & Tech Lead @Microsoft

Mehrnoosh Sameki is a senior technical program manager and tech lead at Microsoft, responsible for leading the product efforts on operationalizing responsible AI in practices within the Open Source and Azure Machine Learning platform. She has cofounded Error Analysis, Fairlearn, and...

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Date

Monday Apr 4 / 01:40PM BST (50 minutes)

Location

Whittle, 3rd flr.

Track

Innovations in ML Systems

Topics

Tech EthicsMachine Learning

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