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Responsible AI - How to Develop a Repeatable Framework That Drives Business Value and Culture Change

Artificial intelligence (AI) applied through machine learning (ML) will be one of the most transformational technologies of our generation, tackling some of humanity’s most challenging problems, augmenting human performance, and maximising productivity. The responsible use of these technologies is key to fostering continued innovation, considerations and recommendations for responsibly developing and using ML systems across three major phases of their lifecycles: (1) design and development; (2) deployment; and (3) ongoing use.


  • Chris Howard, Senior Manger APAC AI/ML Specialist Solution Architecture, AWS
  • Natacha Fort, Senior Domain Solution Architect - AI/ML, AWS
  • Kale Temple, Partner, Data & AI, Deloitte

Target Audience: Data Science, Head of Analytics, Business Leaders

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