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 October 29-30, 2024.

Venue: Online
Cost: KShs. 12,500
This fee includes training, course materials, a resource pack, and access to recorded sessions.

LSK CPD Points: Earn 2 CPD Points for Advocates in attendance.

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

Please note: The deadline for payments is October 28, 2024.

Course Overview

This comprehensive course 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, case studies, and collaborative activities aimed at engaging participants while addressing practical IP concerns faced by AI developers, users, and IP professionals. 

Target Audience

This training is ideal for:

  • AI developers
  • Software developers
  • Tech entrepreneurs
  • IP lawyers
  • Researchers
  • 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.

Day 1: Fundamentals of Intellectual Property in AI Development

  • Introduction to IP: Understand the significance of IP in the tech industry and explore various types relevant to AI, including copyrights, patents, trade secrets, and trademarks.
  • Copyright in AI: Delve into copyrightability in AI, focusing on ownership and licensing issues through live lectures and case study analyses.
  • Patents and Innovations: Learn about what can be patented in AI with a focus on jurisdictional differences (e.g., Kenya vs. US) and discussions on patent application processes.
  • Trade Secrets: Discover the importance of trade secrets in AI development, including protection strategies and management of confidential information.
  • Trademarks: Examine the role of trademarks in branding AI products/services through case studies on brand identity protection.

Day 2: Advanced IP Issues in AI Development

  • IP Ownership in Collaboration: Explore joint development agreements, open-source contributions, and methods for resolving IP ownership disputes through case studies.
  • Navigating IP Challenges: Engage in discussions about specific challenges and opportunities related to IP protection in AI development.
  • Ethical Considerations: Investigate the ethical implications surrounding datasets and AI-generated outputs, including fair dealing and data privacy discussions.
  • International IP Issues: Address international treaties governing IP protection for AI across borders and develop compliance strategies for global operations.
  • Strategic AI Development Considerations: Discuss best practices for protecting AI innovations through effective IP strategies.