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Legal & Law
Intellectual Property in the Age of AI: Navigating Opportunities and Risks
1 day · 7hHRD Corp Claimable
Download BrochureThis program equips professionals with clear, practical guidance on how AI changes the rules of Intellectual Property, helping them understand legal risks and secure ownership in an AI-driven market. Participants will explore copyright, patents, trade secrets, data use, authorship, ownership, and liability issues related to AI.
Programme Overview
Are your AI generated assets protected, do you understand the legal risks of AI tools, and are you ready to secure ownership in an AI driven market. This program equips professionals with clear, practical guidance on how AI changes the rules of Intellectual Property. Participants explore copyright, patents, trade secrets, data use, authorship, ownership and liability issues that emerge when AI supports or creates work. With real examples and structured frameworks, the course shows how to manage risks and protect innovations responsibly. It offers a balanced view of opportunity and compliance, helping organizations act with confidence in the evolving digital space.
Learning Outcomes
Understand how AI disrupts traditional IP concepts
Identify IP rights in AI outputs
Manage copyright, patent and trade secret risks
Address ownership and authorship challenges
Apply practical safeguards to protect AI innovations
Who Should Attend?
Business owners and senior management
Start-ups and scale-ups leveraging AI tools
In-house legal, compliance and risk teams
Developers and R&D teams
Content creators and digital platform operators
Professionals involved in data, software and automation
Course Outline
Day 1 (9:00 AM to 5:00 PM)
Introduction and Ice Breaking
Module 1: Introduction to Intellectual Property
- What is IP
- Business Value: Why IP is critical for business growth and asset valuation
Module 2: Introduction - AI and the Changing IP Landscape
- Copyright fundamentals applied to AI outputs
- Ownership of AI generated content
- Human authorship vs machine creation
- Use of copyrighted materials in AI training
- Risks of infringement in generative AI tools
Module 3: Patents, Algorithms and AI Innovations
- Patentability of AI related inventions
- Inventorship challenges in AI assisted inventions
- Protecting algorithms, models and technical processes
- Disclosure risks and novelty concerns
Module 4: Trade Secrets, Data and Confidential Information
- Data as a strategic asset in AI systems
- Protecting training data, models and outputs
- Managing confidential information in AI deployment
- Internal governance and access control measures
Module 5: Legal Risks, Liability and Compliance in AI Use
- Liability for infringing AI outputs
- Risks arising from third party AI platforms
- Contractual considerations when using or deploying AI
- Managing reputational and regulatory exposure
Module 6: Practical Workshop
- AI and IP Risk Management Toolkit