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Welcome AI & Machine Learning Enthusiasts to the 5th Responsible AI Meetup!

โ„น๏ธ About this event

As Large Language Models are becoming increasingly significant in the world of Finance. Explainability (and understandability) is more important than ever. With the upcoming meetup, we will take a deep dive into the use of Large Language Models and Explainability in the Financial Industry.

โ„น๏ธ About the meetup

AI becomes more and more fundamental for tech companies. No matter whether we talk about personalization, optimization, automation, or decision support; AI is changing the way we work in every aspect. And while it has undeniably proven its potential, we are convinced that transparency and explainability and thus, Responsible AI should be key in every organization and the application of AI/ML systems. Not only in high-risk sectors such as Fintech and Healthcare but for AI & ML in general.

With the Responsible AI Meetup, we bring research and corporate practice together to share the latest trends in Responsible AI. All centered around our ambition to enable you to incorporate Responsible AI into your organization.

๐Ÿ—“ Agenda

The event will start at 16:30. Walk-in is possible as of 16:00 PM

  1. Welcome & Introduction | 5 min

  2. Interactive element | 20 min

  3. Raahul Dutta - Elsevier | 20 min

  4. Fritz Keyzer - Gain.pro | 20 min

  5. Vidhi Jain - Google | 20 min

  6. Wrap-up | 5 min

  7. Drinks & networking ๐Ÿ•๐Ÿป

๐Ÿ‘ค For whom

This event is tailored to CTOs and (Head/Lead) Data Scientists dealing with high-risk AI applications within Fintech.

๐Ÿ“ Location

Google Amsterdam

Claude Debussylaan 34, 1082 MD Amsterdam

โžก๏ธ Disclaimer:

By registering for this event, you grant us permission to take and use photographs that may include your image for promotional and documentation purposes. If you wish to have photographs containing you removed, please contact marketing@deeploy.ml

Related topics

Events in Amsterdam
AI/ML
Artificial Intelligence
Ethics
Social Impact & Responsibility
Risk Governance and Compliance

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