keyboard_arrow_up
Accepted Papers
A Strategic Framework for AI-Driven Ip Portfolio Development and Evaluation with Iso Standards

Albert van Niekerk, Department of Applied Research, AvNFoundationRsa, RSA

ABSTRACT

Intellectual property (IP) management is evolving with artificial intelligence (AI) integration, offering enhanced efficiency, accuracy, and strategic decision-making. This paper presents a framework for AI-driven IP portfolio development, positioning prompt engineering as both an intellectual asset and a tool for optimising key processes such as identification, valuation, and monetisation. The framework aligns with international standards, including ISO 56005, ISO 10668, and ISO 31000, ensuring compliance and governance. A structured validation process using weighted scoring and statistical methods enhances the reliability of AI-generated insights. Case studies highlight the framework's speed, scalability, and cost-efficiency benefits while addressing data quality, bias, and regulatory compliance challenges. The paper concludes with recommendations for businesses and policymakers to adopt AI-driven IP strategies and suggests future research directions, contributing to the growing discourse on AI in IP management.

KEYWORDS

Artificial intelligence (AI), Intellectual property (IP) management, Prompt engineering,IP portfolio development, ISO standards compliance, IP valuation and monetisation, AI-driven decision-making, Risk management, Ethical AI considerations, and Innovation strategy.


menu
Reach Us

emailcseai@cseai2025.org


emailcseaiconf@gmail.com

close