Introduction

Huge thank you to LatticeFlow AI for sponsoring this episode. LatticeFlow AI - https://latticeflow.ai/.Dr. Petar Tsankov is a researcher and entrepreneur in the field of Computer Science and Artificial Intelligence. MLOps podcast #218 with Petar Tsankov, Co-Founder and CEO at LatticeFlow AI, A Decade of AI Safety and Trust. // Abstract // Bio Co-founder & CEO at LatticeFlow AI, building the world's first product enabling organizations to build performant, safe, and trustworthy AI systems. Before starting LatticeFlow AI, Petar was a senior researcher at ETH Zurich working on the security and reliability of modern systems, including deep learning models, smart contracts, and programmable networks. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://latticeflow.ai/ ERAN, the world's first scalable verifier for deep neural networks: https://github.com/eth-sri/eran VerX, the world's first fully automated verifier for smart contracts: https://verx.ch Securify, the first scalable security scanner for Ethereum smart contracts: https://securify.ch DeGuard, de-obfuscates Android binaries: http://apk-deguard.com SyNET, the first scalable network-wide configuration synthesis tool: https://synet.ethz.ch --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Petar on LinkedIn: https://www.linkedin.com/in/petartsankov/ Timestamps: [00:00] Petar's preferred coffee [00:29] Takeaways [03:15] Shout out to LatticeFlow for sponsoring this episode! [03:22] Please like, share, leave a review, and subscribe to our MLOps channels! [03:42] Expansion [05:16] Zurich ETH [07:06] AI Safety [09:24] Optimizing one metric, no fixed data sets [12:19] Trust life-changing issues [14:59] So much interest in GenAI [16:45] Explosion of GenAI Trust and Safety [21:14] Red Teaming [25:22] Trustworthy AI in Industry [27:43] DataOps Challenges [33:42] Trusting Third-Party Models [37:00] Testing Open Source Models [41:41] Specialized ML for Leasing [43:04] Regulation and Financial Incentives [45:30] Regulations Drive Innovation Balance [47:23] Regulations vs Certification: Voluntary Prove [52:24] Workflow Transparency: Trust & Efficiency [53:20] Engineers Balance Compliance Risks [54:53] Pushing Deep Learning Limits [57:31] Wrap up