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Artificial Intelligence in Intellectual Property & Global Health Justice

Original price was: USD $99.00.Current price is: USD $59.00.

Algorithms for Access: Leveraging AI to Reform Intellectual Property and Advance Global Health Justice

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About This Course

Artificial Intelligence in Intellectual Property & Global Health Justice is a three-day, mentor-guided course that brings together legal scholars, AI/ML practitioners, public-health experts, and policy advocates. Through hands-on AI labs, case studies, and high-level policy simulations, participants will explore how machine learning pipelines, patent analytics, and data-sharing frameworks can both disrupt and democratize the innovation ecosystem. By the end of the course, attendees will have drafted evidence-based reform proposals aimed at upcoming WTO and WHO negotiations, positioning themselves at the forefront of the intersection between AI, intellectual property, and global health.

Aim

This course aims to equip participants with interdisciplinary knowledge and practical AI skills needed to analyze, challenge, and redesign intellectual property regimes. The goal is to ensure that life-saving medicines and health technologies become more equitably accessible worldwide—especially during global health crises.

Course Structure

📅 Module 1 – AI, Intellectual Property (IP) & Global Public Health (GPH)

  • Introduction to AI in Drug Discovery & Global Public Health: Learn how AI is transforming drug discovery and addressing global public health challenges.
  • AI-Generated Inventions & Patentability under TRIPS: Explore the patentability of AI-generated inventions under the WTO’s TRIPS Agreement.
  • TRIPS, Patents & Access in the Age of AI: Examine how TRIPS regulations affect access to medicines and health technologies in the AI era.
  • Patent-Analytics Lab: Use AI-driven tools to analyze patent data and identify opportunities for improving access to medicines.

📅 Module 2 – Comparative Case Studies & Policy Debates (AI Lens)

  • India’s Natco v. Bayer Revisited: Revisit landmark cases like Natco v. Bayer and examine their impact on access to essential medicines.
  • Brazil’s HIV/AIDS Strategy with Predictive Analytics: Study Brazil’s innovative HIV/AIDS strategy and how predictive analytics can improve public health initiatives.
  • South Africa’s Access Campaigns Visualized: Visualize South Africa’s access campaigns and learn how AI can support equitable access to treatment.
  • Innovation vs. Equity Debate: Engage in a debate on the ethical trade-offs between innovation incentives and the right to health.
  • Public-Private Partnerships in Global Health: Explore the role of public-private partnerships in advancing global health and equitable access to medicines.
  • Simulation Lab: Participate in a simulation of data-sharing and licensing negotiations involving AI-driven insights.

📅 Module 3 – Law, Policy & the Future of Access to Medicines

  • Pandemic Preparedness, AI Surveillance & IP Reform: Learn how AI can improve pandemic preparedness and the reform of IP systems in times of crisis.
  • Emerging Governance Models for AI & IP: Study emerging governance models for integrating AI with IP law in the health sector.
  • Capstone Policy-Brief Workshop: Develop a policy brief that integrates AI evidence with human rights arguments for improved global health access.
  • Roundtable Discussion: Global Justice & the Future of Health IP – Join a roundtable discussion about the future of health IP and global justice in the context of AI and intellectual property.

Course Outcomes

  • Operate AI Tools for Patent Mining & Drug-Repurposing: Gain hands-on experience in using AI for patent mining and drug-repurposing analysis.
  • Assess TRIPS Flexibilities & Propose AI-Informed Compulsory-License Strategies: Understand the flexibilities within the TRIPS agreement and how AI can support compulsory licensing strategies.
  • Draft Policy Briefs: Develop persuasive policy briefs integrating AI evidence with human-rights arguments.
  • Navigate Multi-Stakeholder Negotiations: Gain experience in negotiating data-sharing and licensing issues through AI-driven simulations.
  • Earn an e-Certificate: Receive certification for 20 CPD hours, validating your expertise in AI, IP, and global health justice.

Who Should Enrol?

  • Legal Professionals & Scholars: Specializing in IP, health, technology, or international law.
  • Public-Health Practitioners & Global-Health Policymakers: Looking to understand how AI can improve access to medicines and public health.
  • AI/ML Researchers & Health-Tech Innovators: Interested in the intersection of AI and healthcare.
  • Pharma & Biotech Professionals: Working on R&D, ESG, or market access strategy.
  • NGO, Intergovernmental & Civil-Society Representatives: Focused on improving access to medicines and global health justice.
  • Graduate Students & Early-Career Researchers: In law, data science, public health, or ethics, interested in AI and global health.

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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