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.
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.
Table of contents
About the author
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.