The AI Governance & Strategy Summit: Washington D.C.
The AI Goverance & Strategy Summit
Washington DC | October 29, 2025
As AI reshapes industry, law, and society, organizations face a pressing mandate: develop responsible, future-proof strategies that align innovation with governance. The AI Governance & Strategy Summit in Washington, D.C. convenes senior legal, compliance, policy, and technology leaders to tackle the complex challenges of AI oversight and opportunity.
This one-day event offers an intensive exploration of enterprise AI governance—from regulatory risk and ethical frameworks to operational implementation and cross-functional alignment. Prioritizing action over theory, sessions provide practical insights and frameworks often reserved for top-tier consulting engagements, empowering participants to implement effective AI governance strategies.
Through candid, curated conversations, attendees gain clarity on navigating rapidly shifting expectations—balancing innovation, reputational risk, and regulatory readiness. Whether your organization is deploying AI tools now or preparing for what’s next, this summit delivers strategic clarity and peer-tested approaches from across sectors.
- Building and Implementing a Comprehensive AI Governance Framework
- Navigating Third-Party AI Risks: Compliance, Governance and Sustainability
- From Trade Secrets to Patents: Best Practices for Safeguarding AI Assets
- AI in the Legal Crosshairs: Addressing Corporate Risks and Responsibilities
- Data Governance in the Age of AI: From Collection to Model Training
- Unifying Privacy, Security, and Governance for Sustainable AI Progress
- The AI Workforce – Upskilling, Reskilling, Compliance & Ethics
- Agentic AI Systems: Legal Accountability When Machines Make Decisions
- C-Suite: Including COOs, STOs, CIOs, CSOs…
- Chief IP Counsel
- Chief Information Security Officer
- Chief Legal / Privacy / Data Protection Officer
- VP & Director of IP Strategy
- Chief, Deputy, Associate and/or Assistant General Counsel
- General Counsel
- Privacy / Trademark / Copyright / Patent Counsel
- Head of Litigation
- Director of Business and Legal Affairs
- Director / VP of Intellectual Property / Licensing
- Privacy Compliance Manager
- Information Security Manager
Agenda
One-to-One Meetings begin. If interested in participating, email info@centerforceusa.com
This panel combines industry expertise to explore the multifaceted and evolving landscape of AI governance. The discussion will bridge the gap between strategic development and practical implementation, focusing on how organizations can transition from visionary responsible AI principles to actionable frameworks that drive corporate accountability and innovation. Topics include policy development, organizational alignment, risk mitigation, and internal accountability mechanisms crucial for fostering trust and responsibility. Attendees will gain actionable insights into aligning AI strategies with corporate accountability and regulatory expectations, ensuring sustainable and ethical AI growth.
This panel will discuss:
- How to meet evolving regulatory and organizational expectations while fostering corporate responsibility
- Developing dynamic frameworks that balance innovation with oversight and compliance
- Establishing accountability mechanisms to build stakeholder trust and ensure ethical practices
- Practical steps and strategies for strengthening AI governance and operationalizing corporate responsibility
- Navigating the tension between fostering cutting-edge AI advancements and maintaining robust compliance measures
This session highlights the challenges of managing third-party AI vendors and ensuring their compliance with ethical and governance standards. Experts will discuss rigorous evaluation processes, ongoing monitoring, and sustainability strategies for responsible vendor management. Attendees will leave with frameworks to enhance accountability and reduce risks in third-party AI use.
This panel will discuss:
- Concrete tools and criteria to vet AI vendors for compliance with governance and ethical standards.
- Techniques for ongoing oversight of third-party AI, ensuring that vendors adhere to organizational policies and legal obligations.
- Practical ways to identify and minimize risks related to data security, bias, and model reliability in third-party AI systems.
If interested in participating, email info@centerforceusa.com
As AI technologies become increasingly central to business strategy, protecting the underlying data, models, algorithms, and processes is more critical—and more complex—than ever. Companies must weigh the benefits and limitations of different IP protection methods, from maintaining trade secrets to pursuing patent filings, all while navigating evolving legal standards and competitive pressures.
This panel will discuss:
- Choosing between trade secret protection and patenting for AI innovations
- Safeguarding datasets, models, and algorithms from unauthorized use or disclosure
- Avoiding common pitfalls in IP strategy for rapidly evolving AI technologies
- Building internal processes to support long-term asset protection and compliance
As artificial intelligence transforms the way businesses operate, it also brings a host of legal risks and challenges. This panel examines the corporate responsibilities and legal implications associated with AI deployment, from its use in high-stakes sectors like healthcare and finance to the unpredictable outcomes of generative AI technologies. Experts will explore critical topics such as content liability, ethical decision-making, and the legal fallout from AI governance failures.
This panel will discuss:
- Insights into preparing for litigation, and ensuring AI systems align with ethical and legal expectations in an evolving regulatory landscape.
- Legal obstacles when integrating AI into healthcare, finance, and other sensitive industries.
- Addressing the Legal Implications of misinformation, defamation, biases, and unintentional harm in AI-generated content.
- Strategies for mitigating corporate liability and risk in AI projects.
If interested in participating, email info@centerforceusa.com
As AI becomes more embedded in enterprise systems, data governance is no longer just an IT concern—it’s a legal, ethical, and operational imperative. Panelists will share insights on how companies can build trustworthy, compliant AI systems by strengthening every stage of their data pipeline—from collection and consent to processing and model training. Legal teams are increasingly responsible for ensuring that data used to train AI is secure, unbiased, and appropriately sourced. With growing regulatory scrutiny and reputational risk, organizations must proactively address privacy obligations, mitigate downstream harm, and anticipate compliance failures before they surface.
This panel will discuss:
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How to assess whether your data infrastructure is ready for AI development and deployment
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The legal risks of using personal or proprietary data in AI model training
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Strategies to detect and prevent bias, privacy violations, or data drift in model outputs
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The evolving role of legal and compliance in cross-functional AI governance frameworks
Experts will discuss the intersections of information security, data privacy, and AI governance, emphasizing holistic approaches to managing these interconnected domains. While at the same time encouraging innovation and productivity. The panel will cover tools and strategies for mitigating cross-functional risks. Attendees will gain a roadmap to address privacy and security challenges within AI governance programs.
This panel will discuss:
- Practical tools for identifying and addressing risks that span across multiple compliance areas.
- Step-by-step strategies for aligning privacy, security, and governance to create a unified compliance program.
- Insights into fostering innovation while adhering to privacy and security standards.
- Best practices and case studies from leading organizations that balance governance, compliance, and innovation.
AI is revolutionizing HR processes, streamlining everything from recruitment to internal mobility. Yet, the integration of AI in these critical areas presents both opportunities and challenges. Organizations must strike a delicate balance between harnessing AI’s efficiency and maintaining ethical responsibility. Reducing bias, enhancing fairness, and ensuring human oversight in hiring decisions are essential to building a sustainable AI-driven HR framework.
This panel will discuss:
- Strategies for investing in upskilling and reskilling programs to prepare for AI’s transformative impact on the workforce
- Addressing the ethical implications of AI’s use in HR
- Insights into how to align technology-driven innovation with responsible HR practices, fostering a workforce that is both future-ready and equitably supported.
As AI systems gain autonomy and make decisions without direct human oversight, businesses face new legal and compliance challenges. This panel explores who is accountable when AI makes a mistake, how responsibility can be assigned through contracts and governance, and what evolving global laws—like the EU AI Act—mean for enterprise risk and compliance.
This panel will discuss:
- Allocating legal responsibility for AI-driven decisions in contracts and internal policies
- Aligning AI deployments with global laws and managing regulatory uncertainty
- Implementing governance frameworks to monitor and control autonomous systems
- Balancing innovation with oversight to ensure ethical and compliant AI use
If interested in participating, email info@centerforceusa.com
Rotating, 20-minute discussions hosted by a topic expert
Venue
TBA
Washington, DC
Pricing
| Register By | In House Counsel | Law Firms & Vendors |
|---|---|---|
| October 29, 2025 | $0.00 | Contact info@centerforceusa.com |
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