AI and IP Training

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Artificial Intelligence and Intellectual Property: Understanding Their Intersection 

The Centre for Intellectual Property and Information Technology Law (CIPIT) invites you to participate in the upcoming AI and IP Training scheduled for December 6, 2024 from 9:00am – 2:00pm EAT

Venue: Online
Cost: KShs. 6,000 for advocates earning CPD Points or KShs. 3,000 for participants not seeking CPD points

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 payments is December 4, 2024.

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. Dr. Melissa Omino, Centre for Intellectual Property and Information Technology Law, Strathmore University

    2. Dr. Chijioke Okorie, Data Science Law Lab, University of Pretoria

    3. Chebet Koros, Centre for Intellectual Property and Information Technology Law, Strathmore University

    4. Natasha Karanja, Centre for Intellectual Property and Information Technology Law, Strathmore University

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.

1. Fundamentals of Intellectual Property in AI Development

  • Introduction to IP: Gain a foundational understanding of the role of IP in the tech industry, specifically for AI, by exploring key 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.

2.  Navigating Licensing for AI Innovation in Africa

This session will delve into the role of licensing in sharing and developing AI resources across Africa. Participants will gain insights into different types of licenses for AI datasets and models, with practical guidance on selecting the best license for various projects and cultural contexts. Whether working on open-source tools or proprietary models, this tutorial will provide the knowledge needed to navigate AI licensing complexities and foster responsible innovation.  

Register Here