RESPONSIBLE AI: A Holistic Approach Masterclass

AIAssuranceClass
This hands-on masterclass equips data scientists, analysts, and project managers with the skills and frameworks needed to deploy trusted and ethical AI. Covering everything from AI assurance and governance to generative AI.

Venue: Online

Learning objectives:

  • Understanding the six pillars of trusted AI.
  • Familiarisation with the roles & processes to deliver an AI assurance culture.
  • Technical skills for deploying trusted AI.

Topics

  • Checklists and kitemark approach to delivery of trusted AI.
  • Responsible use of Generative AI & prompt engineering.
  • Effective scoping of AI projects.  
  • Data Engineering including curation and data quality challenges
  • Maintenance of AI systems and management through turbulent times.
  • Ethics, legal issues and governance of AI.

Audience

This masterclass is designed for data scientists, business analysts and project managers who are keen to go to the next level and understand the various aspects of AI assurance. Attendees should have some familiarity in python coding at least to entry level and have a keen interest in understanding a holistic approach to delivering trusted AI.  We will provide certification of completion of AI Assurance Masterclass.

Course format

The masterclass combines lectures, workshops, and case studies to provide practical approaches to adopt an AI assurance approach back in the workplace. Participants will engage in group discussions and projects to reinforce learning and encourage collaboration. We are also delighted to welcome expert speakers including Professor David Hand (Imperial College London) and Dr Gilbert Owusu (Ex-OR Society President) to provide personal insights into topics such as dark data and OR-enabled AI.

Prices

  • OR Society Member £990 + VAT
  • Non-Member £1250 + VAT
  • Student Member £740 + VAT
  • For group booking discounts please contact [email protected]

Registration will close at 1pm, Wednesday 27th August and joining instructions will be sent out on Friday 29th August.

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Booking terms

When
02/09/2025 09:00 - 03/09/2025 17:00
GMT Daylight Time
Where
ONLINE 2 DAYS UNITED KINGDOM
Spots available
Registration
Registration is closed.