THE INPUT-OUTPUT PROBLEM – Generative AI and Intellectual Property by IEEE CS SBC-University of Peradeniya

#ieeecs #generativeAI #IntellectualProperty #AITalk #ieee #ACES #input-output
Share

THE INPUT-OUTPUT PROBLEM – Generative AI and Intellectual Property

THE INPUT-OUTPUT PROBLEM was a guest lecture focused on the legal and ethical dimensions of Artificial Intelligence (AI), with particular emphasis on ownership, intellectual property, and responsible AI usage. Delivered in a live AI creation and discussion format, the session combined real-time demonstration with critical analysis of the legal and creative implications of generative AI.

Key Topics Covered

1. Ownership of AI-Generated Content
The session explored who owns content generated by AI, how ownership is determined under different legal frameworks, and how AI service providers such as ChatGPT define user rights and responsibilities through their terms of service.

2. Global Regulatory Comparison
The discussion compared how different countries regulate AI. For instance, countries such as China maintain more flexible data collection and AI development policies, enabling faster technological progress, while other countries enforce stricter data protection and privacy regulations - measures that may slow development but offer stronger safeguards for users.

3. The Role of AI in Software Development and Design
The speaker emphasized that AI should function as an assistant rather than a replacement for human creativity. A conceptual scale was introduced, ranging from complete reliance on AI at one extreme to using AI purely for guidance, problem-solving, and productivity support - the latter representing more responsible and valuable usage.

4. Patents and Innovation in the AI Era
Since AI models generate outputs based on existing knowledge rather than creating entirely new information, the lecture highlighted the need for caution regarding copyright and intellectual property issues. The importance of responsible AI use, awareness of legal implications, and preserving human creativity and originality in developing new products, software, or designs was emphasized.

Outcome / Impact

The lecture provided attendees with a clearer understanding of the legal and ethical boundaries surrounding generative AI, encouraging more responsible and informed use of AI tools in academic and professional software development contexts.

             

     


  Date and Time

  Location

  Hosts

  Registration


  • Add_To_Calendar_icon Add Event to Calendar
  • Peradeniya, Sri Lanka
  • Sri Lanka
  • Building: MENB Seminar Room, Faculty of Engineering
  • Contact Event Host
  • Co-sponsored by Association of Computer Engineering Students, University of Peradeniya

  Speakers

Althaf

Biography:

Dr. Althaf Marsoof is an Associate Professor at the College of Business, Nanyang Business School, NTU Singapore. Operating uniquely at the intersection of technology and legal frameworks, he holds a BSc in Information Technology along with an impressive suite of postgraduate law degrees: an LLM from the University of Cambridge, an MPhil from the University of Queensland, and a PhD from King’s College London. Dr. Marsoof’s research focuses heavily on digital policy, internet intermediary liability, and Generative AI ownership. His work investigates how emerging technologies disrupt foundational intellectual property laws, making him a critical voice for developers, engineers, and legal professionals navigating the modern digital landscape.
 




Organized by IEEE Computer Society SBC – University of Peradeniya  
Technical Development