Name: The Responsible Generative AI Framework Pathways: Where Do We Go From Here? - Oita Coleman, Open Voice TrustMark Initiative
Start: 2025-06-24T11:55:00-0600
End: 2025-06-24T12:35:00-0600

June 23 - 25, 2025
Denver, Colorado
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Tuesday June 24, 2025 11:55am - 12:35pm MDT

Bluebird Ballroom 3E

The Responsible Generative AI Framework (RGAF) lays the foundation for ethical and transparent AI development, but what comes next? This panel will explore the Responsible AI Pathways, a set of strategic directions designed to move from framework to implementation.

Panelists will discuss the four key pathways shaping the future of responsible AI:
• Big-Picture Alignment – Understanding AI’s role in humanity’s future and aligning LF AI & Data initiatives with ethical AI progress.
• Ecosystem Mapping – Identifying gaps, overlaps, and collaboration opportunities within the global Responsible AI landscape.
• Deep Dive into Core Dimensions – Addressing AI safety, security, sustainability, and other critical aspects for responsible development.
• Practical Implementation – Grounding principles in real-world use cases, industry applications, and open-source tooling.
This session will also highlight the role of AI safety and security in responsible AI adoption and provide attendees with insights, strategies, and next steps to ensure AI innovation remains transparent, accountable, and trustworthy.
Join us for a forward-thinking discussion on how to shape the future of responsible Gen AI.

Speakers

Oita Coleman

Project Lead / Senior Advisor, Open Voice TrustMark Initiative

Oita Coleman is the Project Lead/Senior Advisor at the Open Voice TrustMark Initiative, a global Linux Foundation project dedicated to educating and advocating for open standards and best practices for conversational AI technologies. In her role, she is responsible for developing... Read More →

Tuesday June 24, 2025 11:55am - 12:35pm MDT
Bluebird Ballroom 3E

Open AI + Data

Audience Experience Level Beginner

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Open Source Summit North America 2025

Oita Coleman

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