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2 Nov

How Do We Build Trustworthy and Trusted AI Systems?

Podcast Hosts:
DBS
Deepak Ramchandani Vensi
Podcast Guests:
Jakub Janowiak
Duration:
40 mins

Trust is very difficult to gain, but very easy to lose, and a lack of trust in data and AI can hamper any transformation journey.

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But investing in the right frameworks and risk controls can foster greater trust in data and AI systems, and, in turn, improve the quality of underlying data and the output of AI.

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In this podcast, hosts DBS and Deepak welcome Mesh-AI Senior Data Scientist Jakub Janowiak to discuss:

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  • How can we foster better trust in AI systems?
  • What are the pitfalls of a lack of trust in AI and data?
  • How do we gain stakeholder support?
  • What frameworks do organisations need in place?


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Listen now:

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About the Podcast

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The Data & AI Podcast explores the developments, insights and trends in data science and AI/ML. Our hosts will delve into the latest news and discuss the  challenges on how enterprises are reimagining how they use data and AI to benefit their customers. 

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Interested in speaking on the show? Get in touch with us at podcasts@mesh-ai.com 

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