Training on Artificial Intelligence and Intellectual Property: Challenges and Opportunities

The Centre for Intellectual Property and Information Technology Law (CIPIT) invites you to participate in the upcoming AI and IP Training scheduled for April 28th, 2025 from 9:00am – 1:00pm EAT

Venue: Online
Cost: KShs. 6,000 for advocates earning CPD Points

         or KShs. 3,000 for participants not seeking CPD points (includes AI developers, software engineers, students etc.)

USD 50 for international participants

LSK CPD Points: Earn 1 CPD Point for Advocates in attendance.

Secure Your Spot! Limited slots are available, so sign up today!

Please note: The deadline for payment is April 24, 2025.

Course Overview

This comprehensive workshop provides an in-depth understanding of intellectual property (IP) rights pertinent to AI development. Delivered through a virtual platform, it combines live training sessions, interactive discussions and case studies aimed at engaging participants while addressing practical IP concerns faced by AI developers, users, and legal professionals.

Workshop Facilitators

  1. Sharon Chahale Wata – Deputy Executive Director- Training & Research, KECOBO

  2. Chebet Koros – IP Research Fellow, CIPIT

  3. Florence Ogonjo – AI Research Fellow, CIPIT

  4. Natasha Karanja – Researcher, CIPIT

  5. Cynthia Nzuki – Researcher, CIPIT

Target Audience

This workshop is ideal for: AI developers, Software developers, Tech entrepreneurs, Lawyers and Advocates, Researchers and Stakeholders involved in AI development and innovation.

Key Features of the Training

The training encompasses a variety of presentations and interactive components designed to illustrate challenges and best practices in IP management for AI development.

Challenges and Opportunities of Intellectual Property in AI Development

  • Fundamentals of IP and AI: Gain a foundational understanding of the role of IP in the tech industry, specifically for AI, by exploring key AI principles and IP types—copyrights, patents, trade secrets, and trademarks—and their impact on innovation.

  • Copyright in AI: Explore the complexities of copyright in AI, with a focus on ownership and licensing. Engage with case studies to better understand copyrightability in AI development.

  • Patents and AI Innovation: Discover what aspects of AI technology can be patented, including insights into jurisdictional differences and an overview of the patent application process.

  • Trade Secrets: Learn about the strategic importance of trade secrets in AI, covering methods for safeguarding confidential information and effective management practices.

  • Trademarks: Understand the role of trademarks in establishing and protecting the brand identity of AI products and services through case studies on effective branding strategies.

  • AI and Indigenous Knowledge

  • The Future of AI and IP: Opportunities in AI and IP