ChAI Chat

Jomar Gacoscos

ChAI Chat is your go-to podcast for navigating the fast-moving world of AI readiness, risk, and governance — exploring what it takes for organizations and communities to become truly AI-ready. In each episode, we unpack the latest developments in AI, dissect potential dangers and opportunities, and dive into how experts in AI security, compliance, and ethics build systems that are transparent, fair, and trustworthy. We bring together voices from technologists, policy thinkers, and organizational leaders to share real-world insights on governance strategies, data integrity, and ethical accountability. Whether you’re part of a startup, a nonprofit, or a large enterprise — if you care about preparing responsibly for the AI future — ChAI Chat is your space to learn, adapt, and act.

Episodes

  1. ChAI Chat Episode 4: Autonomous Vehicle Safety with Mateo Delgado

    04/14/2025

    ChAI Chat Episode 4: Autonomous Vehicle Safety with Mateo Delgado

    In this episode, Jomar Gacoscos and guest Matteo Delgado delve into the complexities of autonomous vehicles, discussing their ethical implications, safety challenges, and the importance of infrastructure. They explore the various levels of autonomy, the role of cybersecurity, and the need for collaboration between companies and city planners to ensure safe and effective deployment of this technology. The conversation highlights the current state of autonomous driving and the hurdles that still need to be overcome for widespread adoption. Disclaimer: The views and opinions expressed in this podcast are solely those of the host and guest and do not necessarily reflect the official policies or positions of our respective employers or affiliated organizations. The content is intended for informational and entertainment purposes only and should not be construed as professional advice.​Additional Resources https://www.moralmachine.net/https://www.media.mit.edu/projects/moral-machine/overview/Phil Koopman - How Safe is Safe Enough, Measuring and Predicting Autonomous Vehicle Safety Koopman P, Wagner M. - Autonomous vehicle safety: An interdisciplinary challenge. Koopman P. - Challenges in Autonomous Vehicle Testing and Validation Autonomous Vehicle Safety: Lessons from Aviation By Jaynarayan H. Lala, Carl E. Landwehr, and John F. Meyer NHTSA (National Highway Traffic Safety Administration) - Autonomous Vehicle Safety Reports and Audits Chapters 00:00 Introduction to Autonomous Vehicles03:40 Understanding Autonomous Vehicle Levels11:55 Defining Safety in Autonomous Driving19:07 Operational Design Domains and Environmental Challenges27:06 Training Autonomous Vehicles for Diverse Environments33:03 Cybersecurity Challenges in Autonomous Vehicles38:37 Cybersecurity Controls in Autonomous Vehicles46:52 Trust and Control in Autonomous Systems57:52 Collaboration Between Companies and Infrastructure01:08:17 The Future of Autonomous Vehicles and Road Safety

    1h 18m
  2. 11/19/2024

    ChAI Chat Episode 1: Ads Dawson - AI Security and OWASP Top 10 for LLMs

    In this episode of the ChAI Chat podcast, host Jomar Gacoscos welcomes Ads Dawson, a Staff AI Security Researcher. They discuss their first meeting at DEFCON, Ads' journey from information security to AI security. Ads shares his insights on his contributions to OWASP and the ethical considerations surrounding AI security, emphasizing the importance of understanding vulnerabilities in AI applications. Ads and Jomar Gacoscos also delve into the complexities of vulnerabilities in LLM applications, particularly focusing on OWASP top 10 vulnerabilities for LLMs, particularly LLM08: Excessive Agency and LLM10: Model Theft. They discuss the implications of Anthropic's new computer use feature and the associated security risks.  Resources and Links Podcast Guest, AI Security Researcher Ads Dawson (aka GangGreenTemperTatum) https://www.linkedin.com/in/adamdawson0/  https://github.com/GangGreenTemperTatum  AI Security Researcher Johann Rehberger (aka Embrace The Red) https://embracethered.com/blog/  https://x.com/wunderwuzzi23  OWASP Top 10 for LLMs https://owasp.org/www-project-top-10-for-large-language-model-applications/  Proof Pudding (CVE-2019-20634) https://avidml.org/database/avid-2023-v009/  https://github.com/moohax/Proof-Pudding  Chapters 0:00 Introduction to the ChAI Chat Podcast2:47 Meeting at DefCon - A Unique Experience5:46 Ads Dawson's Journey into AI Security8:53 Transition into AI Security11:49 Understand Cybersecurity and AI Security Intersections14:58 Contribution to OWASP and AI Security Projects17:36 Exploring Vulnerabilities in AI Applications23:15 Understanding OWASP Vulnerabilities in LLM Applications23:53 Exploring Excessive Agency Vulnerability (LLM08)28:10 Model Theft (LLM10) and Its Implications 34:23 Anthropic's Computer Use Feature and Security Risks42:54 Community Engagement and Networking in InfoSec

    46 min

About

ChAI Chat is your go-to podcast for navigating the fast-moving world of AI readiness, risk, and governance — exploring what it takes for organizations and communities to become truly AI-ready. In each episode, we unpack the latest developments in AI, dissect potential dangers and opportunities, and dive into how experts in AI security, compliance, and ethics build systems that are transparent, fair, and trustworthy. We bring together voices from technologists, policy thinkers, and organizational leaders to share real-world insights on governance strategies, data integrity, and ethical accountability. Whether you’re part of a startup, a nonprofit, or a large enterprise — if you care about preparing responsibly for the AI future — ChAI Chat is your space to learn, adapt, and act.