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 toolsThe intellectual property embedded in training dataThe 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 assetsCopyright or licensing violationsVendor lock-in or contractual exposureLegal 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 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 Learning Outcomes By the end of this webinar, participants will be able to: Understand ownership and copyright risks associated with AI outputsAssess legal and IP exposure across internal and vendor-led initiativesEvaluate vendor contracts and licensing terms with confidenceImplement organisational policies and guardrails to mitigate riskCommunicate 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 lawAcademics from UCL CSRI researching AI governance and regulationIndustry 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 policiesGuiding participants through hands-on application to their own organisationsProviding expert faculty guidance and peer learningCovering governance, IP, data strategy, and change management in depth