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2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
62 minutes
Released:
Jun 8, 2020
Format:
Podcast episode

Description

Today we’re joined by Rumman Chowdhury, Managing Director and Global Lead of Responsible Artificial Intelligence at Accenture. In our conversation with Rumman, we explored questions like:  Why is now such a critical inflection point in the application of responsible AI? How should engineers and practitioners think about AI ethics and responsible AI? Why is AI ethics inherently personal and how can you define your own personal approach? Is the implementation of AI governance necessarily authoritarian? How do we balance idealism and pragmatism in the application of AI ethics? We also cover practical topics like how and where you should implement responsible AI in your organization, and building the teams and processes capable of taking on critical ethics and governance questions. The complete show notes for this episode can be found at twimlai.com/talk/381.
Released:
Jun 8, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.