about the event
Who actually owns the outputs your AI generates?
- The content, code, or designs created by AI tools
- The intellectual property embedded in training data
- The liability if something goes wrong.
These questions aren’t abstract. Organisations are already facing disputes, vendor challenges, and legal uncertainty.
This one-hour webinar gives senior leaders the frameworks and practical insights to make these decisions with confidence. It also serves as a gateway to the Executive Education course, where participants go deeper, applying these frameworks hands-on to their own organisations.
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His work centres on enabling organisations to navigate AI-driven transformations with robust governance frameworks and long-term ROI, working closely with regulators, standard setters and technology innovators to ensure responsible and sustainable AI adoption.
Victoria recently completed an academic sabbatical with UCL's Computer Science faculty, researching AI, data, DLT and quantum technology law and policy. She brings board-level experience and a strong track record in corporate governance, business transformation and stakeholder engagement.
AI adoption is moving faster than governance, policies, and contracts. Without clarity, organisations risk:
- Unclear ownership of AI-generated assets
- Copyright or licensing violations
- Vendor lock-in or contractual exposureLegal and reputational risk
This webinar equips leaders with a structured, practical approach to protect their organisations before problems arise.
Our expert panel will address the questions executives are actually asking:
1. Ownership of AI-Generated Outputs
Who owns content, code, and designs generated by AIHow human input affects ownership claimsWhere ambiguity exists and how to mitigate it
2. Copyright and Protection
Can AI-generated outputs be copyrighted or otherwise protected?Understanding “originality” in an AI contextPractical implications for software, marketing, and creative assets
3. Training Data and Liability
Risks tied to models trained on copyrighted materialWhat happens if your organisation is challenged legallyHow liability is allocated between vendors and users
4. Vendor Terms and Negotiation
What contracts and terms of service typically say about IPKey clauses to watch for to protect your organisationNegotiating practical protections without slowing adoption
5. Policies, Guardrails, and Governance
Internal policies organisations should implement nowGuardrails for employees using generative AI toolsGovernance structures that scale with adoptionAligning legal, technical, and business teams around AI risk
By the end of this webinar, participants will be able to:
- Understand ownership and copyright risks associated with AI outputs
- Assess legal and IP exposure across internal and vendor-led initiatives
- Evaluate vendor contracts and licensing terms with confidence
- Implement organisational policies and guardrails to mitigate risk
- Communicate AI IP considerations clearly to boards, legal teams, and stakeholders
- C-suite and senior executives
- Board members and non-executive directors
- Strategy, transformation, and innovation leaders
- Anyone responsible for approving, funding, or overseeing AI initiatives
This webinar is the first in a broader collaboration with UCL Centre for Sustainability and RealTech Innovation, designed to support leaders who want to move beyond experimentation and build credible, responsible AI strategies.
For those who want to go deeper, this session connects directly to our Executive Education course, where participants apply these frameworks hands-on to their own organisations with expert guidance.
The webinar gives you the foundations.
The course helps you implement them.
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