Responsible AI Meetup - Fintech | Responsibility & Fairness

Welcome AI & Machine Learning Enthusiasts to the 6th Responsible AI Meetup!

ℹ️ About this event
The applications of AI in the financial industry only continue to expand. However, this surge is accompanied by a heightened concern regarding the ethical challenges these applications pose.

In our 6th Edition, we bring together key financial players and research institutions to share knowledge on the applications of AI and discuss how responsibility and fairness can be ensured.

ℹ️ About the meetup
AI is becoming more and more fundamental for organizations. 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 are key in applying 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.

🎤 Speakers & Talks
A lineup of insightful talks, bridging industry and research, moderated by Deeploy.

𝘈𝘶𝘥𝘪𝘵𝘪𝘯𝘨 𝘉𝘪𝘢𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘊𝘰𝘶𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘵𝘶𝘢𝘭 𝘌𝘹𝘱𝘭𝘢𝘯𝘢𝘵𝘪𝘰𝘯𝘴 | Theonymfi Anogeianaki & Kay Hoogland - Floryn

𝘛𝘩𝘦 𝘦𝘮𝘦𝘳𝘨𝘦𝘯𝘤𝘦 𝘰𝘧 𝘧𝘰𝘶𝘯𝘥𝘢𝘵𝘪𝘰𝘯 𝘮𝘰𝘥𝘦𝘭𝘴, 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘦𝘴, 𝘦𝘵𝘩𝘪𝘤𝘢𝘭 𝘴𝘵𝘢𝘯𝘥𝘢𝘳𝘥𝘴, 𝘢𝘯𝘥 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘵𝘩𝘢𝘵 𝘴𝘦𝘵 𝘌𝘶𝘳𝘰𝘱𝘦𝘢𝘯 𝘈𝘐 𝘢𝘱𝘢𝘳𝘵 𝘰𝘯 𝘵𝘩𝘦 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘵𝘢𝘨𝘦 | Stefan Leijnen - HU University of Applied Sciences Utrecht

𝘗𝘳𝘰𝘢𝘤𝘵𝘪𝘷𝘦 𝘮𝘢𝘪𝘭𝘪𝘯𝘨 𝘣𝘢𝘴𝘦𝘥 𝘰𝘯 𝘤𝘰𝘯𝘵𝘢𝘤𝘵-𝘱𝘳𝘰𝘣𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘰𝘯𝘴: 𝘉𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘷𝘢𝘭𝘶𝘦 𝘢𝘯𝘥 𝘦𝘹𝘱𝘭𝘢𝘪𝘯𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 | Piet Jonker - a.s.r.

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

🗓 Agenda
The event will start at 16:00. Walk-in is possible as of 3:30 PM

1. Welcome & Introduction | 5 min
2. Interactive element | 15 min
3. Theonymfi Anogeianaki & Kay Hoogland - Floryn | 20 min
4. Stefan Leijnen - Utrecht University of Applied Sciences | 20 min
5. Piet Jonker - a.s.r. | 20 min
6. Wrap-up | 5 min
7. Drinks & networking 🍻

📍 Location
a.s.r. Headquarters, Utrecht

Archimedeslaan 10, 3584 BA Utrecht

The location is a short bus ride from Utrecht Central Station. Parking is also available however, spaces are limited (10-20 capacity).

➡️ 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](mailto:marketing@deeploy.ml)