Implementing Responsible and Explainable AI
Where are you on your journey to AI and how are you implementing a governance framework around it?
In 2023, we expect more organizations than ever to implement AI. However, with increased implementation comes the increased need for governance, to make sure AI use is fair, explainable, and trustworthy.
In fact, in October 2022 the White House released the “Blueprint for AI Bill of Rights”, which demands organizations meet a set of AI regulations and standards. Making sure you are in line with these is imperative. So, are you meeting these regulations? Are you concerned about them moving forward?
Join IBM and a select group of your industry peers as we discuss this. We’ll explore how to implement governance for your AI, by focusing on 3 key principles: knowing your AI model, trusting your AI model, and using your AI model. Discuss the best practices in this Meet The Boss roundtable.
Event host
Hans Petter Dalen
Tommi Tulisalo
About IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership.
Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
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