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Best Practices for Building AI in a Responsible Way

Join Harib Bakhshi, Lead Data Scientist for UK and Ireland at H2O.ai, and walk through some of the best practices around responsible AI.

Big Data LDN - Pluralsight course - Best Practices for Building AI in a Responsible Way
by Big Data LDN
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What you'll learn

As the AI industry continues to mature and more companies begin to adopt this powerful technology, it is important for professionals to start considering how to build their AI journey in a responsible manner. Responsible AI covers areas like explainable AI, ethical AI, risk in AI, and more. All of these areas can have a major impact on businesses who are starting their AI journey. Join Harib Bakhshi, Lead Data Scientist for UK and Ireland at H2O.ai, who will walk you through some of the best practices around responsible AI. As part of this session, Harib will cover: A short overview of why Responsible AI is an important aspect to take into account, the business benefits of implementing responsible AI, and some practical tips to consider while going through your responsible AI journey.

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About the author

Big Data LDN - Pluralsight course - Best Practices for Building AI in a Responsible Way
Big Data LDN

Big Data LDN is the UK’s largest data and analytics conference and exhibition.

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