What Does Best in Class AI/ML Governance Look Like in Financial Services?

Name: What%20Does%20Best%20in%20Class%20AI/ML%20Governance%20Look%20Like%20in%20Financial%20Services?
Uploaded: 2020-03-25

Posted Mar 25, 2020 | Views 538

# Interview

speaker

Charles Radclyffe

Technology Governance and ESG Specialist @ AI Ethics

In my career so far I've built and sold three tech companies. In-between I have consulted to large Financial Services organisations on Emerging Technology.

Outside of my day-job, I advise organisations on how to develop a strategy of ethical implementation of AI, Automation and Robotics as well as speak at events on this subject, co-host a soon-to-be-released podcast, and write a blog on the ethics and societal impact of emerging technology.

I'm passionate about entrepreneurship which I see as the activity by which a person strives to become all they can be while on a mission to make a positive change to the world.

In my spare time I support young entrepreneurs in two fields: Quantum and Agricultural Technology.

I hold an MA in Law from Cambridge, and my hobbies include golf, motorsport, science fiction and early modern history.

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SUMMARY

For our next virtual meetup, we will be joined by Charles Radclyffe, who until very recently was the Head of AI at Fidelity. Some of his other feats include starting 3 companies, TEDx talks, and advising the likes of HSBC, Barclays, Morgan & Stanley, and Deutsche Bank. He has focused his career on solving tough technology challenges for some of the world's largest organizations. For more on him, you can follow on twitter or connect on LinkedIn Governance is coming for us all, but it’s especially pertinent in regulated industries such as the finance sector. Financial institutions must be mindful of how their machine learning models are being used and experimented with as regulators are keen to understand the quality of controls across the industry. Our conversation will center around Charles’ past experiences heading up the AI capability for a large organization in the financial industry, and his learnings during that time. We will also touch on what ideal AI/ML governance looks like in his eyes and where he sees we need to focus our attention for future success within this area. What do data scientists and ML engineers need to learn about governance to ensure business success as laws are continually changing? This meetup is a virtual fireside chat for the first 40 minutes and in the last 20 minutes we will open up the floor for any questions. Please feel free to drop some questions you may have beforehand into our slack channel or forum created for this meetup.

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