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Kevin Raber
Kevin Raber

Kevin Raber, CAP-X

Senior Data Scientist on the Responsible AI team
Chevron
Bio

Kevin Raber is a Senior Data Scientist on the Responsible AI team at Chevron. He brings diverse experience from a 14‑year career across the corporation, including serving as a product manager for AI and data science tools and platforms for the enterprise, holding multiple data science roles, and providing infrastructure support for both business units and the central high performance computing team. Kevin holds an M.S. in Engineering and Technology Management, with an academic specialty in Operations Research, and bachelor’s degrees in Mathematical and Computer Sciences and Economics from the Colorado School of Mines.

In his current role, Kevin focuses on applying data science and analytics to support governance, risk management, and the responsible use of data and AI across the enterprise. He collaborates closely with business and technical stakeholders to assess AI use cases, support AI risk reviews, and strengthen data‑driven decision‑making within Chevron’s governance frameworks.


Governing Trustworthy AI in the Wild West of AI

In today’s wild west era of AI, it is very difficult to govern how employees choose and use AI technologies to accelerate their own work. In large corporations, with the span of different locations, countries, and continents, this can feel nearly impossible. Through the efforts of many contributors since late 2022, we’ve learned quite a bit about AI governance, trustworthy AI, and how we might accelerate our journey, if we had to do it again. We’ll walk through the journey of getting started, the why, the what, and the how. With the what, the why, and the how defined, the most difficult part of the process comes into focus, behavioral change management. We’ve identified several areas that can help make this process less painful and allow for AI governance to be an enabler of AI and not a roadblock. With quality AI governance, you may be able to leverage all your organization’s top talent, accelerate the use of AI, provide proper guardrails, and do it in a responsible and trustworthy way that can create a true competitive advantage.

Professional / Leadership
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