Artificial Intelligence Applications - A 1 Hour Guide to Securing & Protecting IP Rights

Introduction

The rapid development of artificial intelligence and machine learning applications is seeing exciting new technologies being introduced to improve productivity across a wide variety of sectors.

For example, it is used effectively in cybersecurity to detect malicious activity, it is helping doctors and healthcare professionals with image analysis systems in cancer screening programmes and generative AI is being used in content marketing systems to help marketers generate content automatically.

This webinar will focus on different types of intellectual property in AI applications (including generative AI), as well as steps organisations can take to secure and protect the intellectual property in AI applications.

The webinar will also look at drafting agreements to access and use an AI application and will examine expectations and concerns about the use of AI applications provided as a service (from both the supplier and business user perspective), particularly in the context of IP and privacy laws.

It is suitable for organisations that are using or planning to use AI and their legal advisers. It is also suitable for IP lawyers and technology/commercial lawyers with some existing knowledge of IP and privacy law.

What You Will Learn

This webinar will cover the following:

• What is AI and machine learning and how does it use and create IP?
• Current IP protection for AI systems, its input and output
• Training the AI system
• Copyright
• Design rights
• Database rights
• Patentability of AI systems and AI generated inventions
• Confidentiality
• Rights in algorithms
• Who owns the IP in the AI system and its output?
• Drafting agreements for ownership and licensing of IP in the AI system
• Drafting and negotiating agreements for the supply of AI applications
• Warranties and obligations - allocating risk and responsibility for the AI system
• Data protection
• Limiting liability
• Termination and remedy clauses - mistakes to avoid
• Recent cases and enforcement action

This pre-recorded webinar will be available to view from Wednesday 29th October 2025

Alternatively, you can gain access to this webinar and 1,700+ others via the MBL Webinar Subscription. Please email webinarsubscription@mblseminars.com for more details.