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

Description

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.