AI startups face high stakes when it comes to Responsible AI as decisions made early can't be undone. At this live online event, attendees will learn how to adopt robust responsible AI frameworks from day one to stay compliant and competitive. Fion Lee-Madan, Technical Co-Founder of Asenion, will share how early-stage founders can navigate AI governance, risk, and compliance. If you're building with AI and want to learn about responsibility from the ground up, don't miss this essential session.
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**❯ What You’ll Learn**

* How to integrate Responsible AI into your startup from day one
* Why implementing compliance and ethics early sets your AI up for long-term success
* Practical frameworks to future-proof your AI product

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**❯ Featured Speaker:**

* **[Fion Lee Madan](https://www.linkedin.com/in/fionmadan/) \- Technical Co\-Founder\, Head of Strategic Partnerships at [Asenion](https://www.asenion.ai/) (formerly Fairly AI + anch AI)** \- A founder\, leader\, lifelong learner\, and catalyst of change\, Fion Lee\-Madan understands the shifting B2B enterprise software landscape and the transformative impact of AI\. As a technical and business executive for Fortune 500 companies and at ATG through its Oracle acquisition\, she led initiatives in product\-market fit\, demand generation\, and customer success\, thriving in competitive markets\. Her experience living\, working\, and raising children internationally over the past 20 years fuels a deep commitment to promoting the fair and responsible use of technology\, and to building a global network to operationalize Responsible AI to Fairly AI standards\.

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**❯❯ This live, interactive online event promises valuable insights! Ensure your participation by RSVPing now at 👉 https://fi.co/startupwebinar/19296 to receive the link to join us live!**

Jonathan Greechan

Madrid Startup Founder 101

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Responsible AI for Startups: Frameworks You Can Apply from Day One

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Madrid Startup Founder 101

Responsible AI for Startups: Frameworks You Can Apply from Day One

Madrid Startup Founder 101

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