Daniel Olmedilla

Distinguished Engineer, AI & Trust, LinkedIn

With over 20 years of work experience in diverse domains and industries, Daniel is a seasoned leader and innovator in the field of artificial intelligence, data science and product infrastructure, having managed large teams across multiple sites world-wide. His mission is to support machine learning efforts at LinkedIn to ensure a safe, trusted, and professional platform, while committing to the advancement of AI driven by ethical principles that put people first. He brings diverse perspectives and experiences to the team, as a multilingual professional with a PhD in computer science and a background in industry, consulting, academia, and research.

Daniel Olmedilla

Sessions / 2025 / 1 talk

  • Join us for a keynote panel that moves beyond theoretical discussions of AI ethics to explore the practical realities of implementing responsible AI safeguards. This conversation will unpack the complex trade-offs and technical challenges faced when deploying AI systems at scale. Panelists will share insights from building fairness and privacy protections into major platforms while maintaining innovation, and discuss how responsible AI has evolved into a business imperative. Topics include creating effective trust and safety protocols for generative AI, developing robust safeguards for user-generated content, implementing fairness frameworks across diverse products, and managing the tension between rapid deployment and thorough safety testing. Expect candid discussion about governance structures that work, persistent technical hurdles, and lessons learned from high-stakes incidents that shaped today's AI safeguards.

Sessions / 2024 / 1 talk

  • Linkedin has been at the forefront of the Generative AI revolution, with multiple products relying on this technology already launched. However, with great power comes great responsibility. This presentation explores LinkedIn’s commitment to trust and responsible practices in its AI development process. it will provide an overview of our principles and frameworks, with special focus on our Generative AI products and features.

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