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Guardrails for the Future: AI Safety and Responsible AI in Practice

Krishnaram Kenthapadi Krishnaram Kenthapadi | Chief Scientist, Clinical AI | Oracle Health
Daniel Olmedilla Daniel Olmedilla | Distinguished Engineer, AI & Trust | LinkedIn
Rachad Alao Rachad Alao | Senior Engineering Director | Meta
Jake Brill Jake Brill | Head of Product - Integrity | OpenAI

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.

Krishnaram Kenthapadi
Krishnaram Kenthapadi
Chief Scientist, Clinical AI | Oracle Health

Krishnaram Kenthapadi is the Chief Scientist, Clinical AI at Oracle Health, where he leads the AI initiatives for Clinical Digital Assistant and other Oracle Health products. Previously, as the Chief AI Officer & Chief Scientist of Fiddler AI, he led initiatives on generative AI (e.g., Fiddler Auditor, an open-source library for evaluating & red-teaming LLMs before deployment; AI safety, observability & feedback mechanisms for LLMs in production), and on AI safety, alignment, observability, and trustworthiness, as well as the technical strategy, innovation, and thought leadership for Fiddler. Prior to that, he was a Principal Scientist at Amazon AWS AI, where he led the fairness, explainability, privacy, and model understanding initiatives in the Amazon AI platform, and shaped new initiatives such as Amazon SageMaker Clarify from inception to launch. Prior to joining Amazon, he led similar efforts at the LinkedIn AI team, and served as LinkedIn’s representative in Microsoft’s AI and Ethics in Engineering and Research (AETHER) Advisory Board. Previously, he was a Researcher at Microsoft Research Silicon Valley Lab. Krishnaram received his Ph.D. in Computer Science from Stanford University in 2006. He serves regularly on the senior program committees of FAccT, KDD, WWW, WSDM, and related conferences, and co-chaired the 2014 ACM Symposium on Computing for Development. His work has been recognized through awards at NAACL, WWW, SODA, CIKM, ICML AutoML workshop, and Microsoft’s AI/ML conference (MLADS). He has published 60+ papers, with 7000+ citations and filed 150+ patents (72 granted). He has presented tutorials on trustworthy generative AI, privacy, fairness, explainable AI, model monitoring, and responsible AI at forums such as ICML, KDD, WSDM, WWW, FAccT, and AAAI, given several invited industry talks, and instructed a course on responsible AI at Stanford.

Daniel Olmedilla
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.

Rachad Alao
Rachad Alao
Senior Engineering Director | Meta

As a seasoned technology leader, Rachad brings over two decades of experience in the high-tech industry, with a focus on responsible artificial intelligence, operating systems and embedded systems. Currently, he serves as Senior Director of Engineering at Meta, leading Meta’s Generative AI Trust and Safety organization, which focuses on building safe and responsible GenAI foundation models, including Llama open-source models. Rachad's professional journey spans multiple roles and companies. Before rejoining Meta, he was Senior Director of Engineering at Google, where he led the Applied Responsible AI effort as well as Google Maps User-Generated Content, Trust and Safety AI engineering teams. Previously, he was Director of Engineering at Facebook AI, leading the Facebook Responsible AI effort centered around AI fairness, privacy, security, robustness, and safety, as well as transparency and control. Rachad's experience also includes six years at Google as an Engineering Director, helping Android scale to 3 billion devices. He led Android's multimedia efforts, including Android OS Audio, Video, and Camera teams, contributing to the development of Google's Pixel Camera and a more secure Android multimedia stack. Earlier in his career, Rachad spent nine years at Bluestreak Technology in Montreal, serving as Chief Technology Officer and other engineering leadership roles. As CTO, he helped build the company's embedded Flash and HTML technology, deploying it to millions of devices for Orange France and Time Warner Cable US. Rachad holds a Master's degree in Telecommunication Engineering and Computer Architecture from Telecom ParisTech in Paris. He was born in Benin, West Africa and grew up in Côte d'Ivoire before moving to France at the age of 16 to pursue his studies.

Jake Brill
Jake Brill
Head of Product - Integrity | OpenAI

Jake Brill is Head of Product for Integrity at OpenAI, where he builds technology and teams to protect the platform from financial fraud and account abuse. With over 15 years of experience in product management, Jake previously directed Support & Protect initiatives at Instacart for nearly 5 years and spent almost a decade at Facebook developing critical security features like Login Approvals, Trusted Contacts, and Anti-bullying tools. His expertise spans from site integrity and fraud prevention to building user-centric privacy controls and safety mechanisms. A Bowdoin College graduate with degrees in Psychology and Latin American Studies, Jake combines technical knowledge with user behavior insights to create secure digital experiences. His career reflects a consistent commitment to safeguarding user trust and ensuring reliable experiences across major technology platforms, now applying this expertise at the forefront of artificial intelligence.

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