WEBINAR 3: Who Owns What When You Use AI?
Now comes the question that too many organisations ignore until it’s too late.
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 delivers practical guidance for senior leaders navigating AI-related IP, copyright, and legal risk and previews the hands-on frameworks explored in the Executive Education course.
Why Attend?
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 exposure
Legal and reputational risk
This webinar equips leaders with a structured, practical approach to protect their organisations before problems arise.
What We’ll Cover
1. Ownership of AI-Generated Outputs
Who owns content, code, and designs generated by AI
How human input affects ownership claims
Where 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 context
Practical implications for software, marketing, and creative assets
3. Training Data and Liability
Risks tied to models trained on copyrighted material
What happens if your organisation is challenged legally
How liability is allocated between vendors and users
4. Vendor Terms and Negotiation
What contracts and terms of service typically say about IP
Key clauses to watch for to protect your organisation
Negotiating practical protections without slowing adoption
5. Policies, Guardrails, and Governance
Internal policies organisations should implement now
Guardrails for employees using generative AI tools
Governance structures that scale with adoption
Aligning legal, technical, and business teams around AI risk
Learning Outcomes
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
Who Should Attend
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
No coding required
Speakers
This session brings together leaders at the intersection of AI, law, and governance:
Legal experts specialising in intellectual property and technology law
Academics from UCL CSRI researching AI governance and regulation
Industry leaders who have built AI IP policies from scratch
These are people dealing with real-world IP questions in real organisations today.
[Speaker names and credentials to be announced]
From Webinar to Executive Education
This webinar is the final session in a short series and forms part of a broader collaboration with Acuity Data, supporting leaders who want to move beyond experimentation toward responsible, strategic AI deployment.
For those who want to go further, the Executive Education course builds on this session by:
Translating insight into actionable roadmaps and policies
Guiding participants through hands-on application to their own organisations
Providing expert faculty guidance and peer learning
Covering governance, IP, data strategy, and change management in depth