How Product Teams Should Tackle Responsible AI

Pragmatic Live Chat

Guest host Michael Lithe founder and president of The Data Incubatorsits down with Aishwarya Srinivasan, an Artificial Intelligence and Machine Learning Innovation Leader at IBM. Aishwarya works cross-functionally with the product team, data science team and sales to research AI use cases for clients at IBM Data & AI. In her role, she conducts discovery workshops and builds assets to showcase the business value of the technology. Aishwarya holds a postgraduate degree in data science from Columbia University.

The two data science experts discuss the importance of building responsible AI systems that aren’t harmful to society, citing examples in the media. Aishwarya shares the responsibilities of roles like AI ethicists, UX researchers, data scientists and cybersecurity officers in upholding responsible AI standards. She also highlights the key issues organizations will have to grapple with as AI continues to evolve, and she shares key takeaways for leveraging machine learning and AI to create business value. Find links to resources shared in this episode:

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  • Pragmatic Editorial Team

    The Pragmatic Editorial Team comprises a diverse team of writers, researchers, and subject matter experts. We are trained to share Pragmatic Institute’s insights and useful information to guide product, data, and design professionals on their career development journeys. Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Since 1993, we’ve issued over 250,000 product management and product marketing certifications to professionals at companies around the globe. For questions or inquiries, please contact [email protected].

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