Mohamed Khemakhem

Proposal(s) title:
  • Exploration of the mutual benefits between Terminology Management (TM) and Artificial Intelligence (AI)
Proposal(s) topic:

Artificial Intelligence

Impact on SMEs:

Impact on SMEs (6th Open Call)
My contribution benefits European SMEs and societies by advancing the integration of TM and AI, addressing challenges in communication, efficiency, and inclusivity while aligning with global standards like ISO. For SMEs, this project provides at this stage guidelines and recommendations for accessible AI techniques that are aligned with TM standards and practices, enabling cost-effective automation of terminology processes and improved productivity. SMEs in specialized sectors (e.g., biotech, fintech) and transversal fields (e.g. translation, interpretation) gain better insights for handling domain-specific terminologies, enhancing competitiveness in European and global markets.

Impact on society:

Impact on society (6th Open Call)
For European societies, the project addresses ethical AI concerns like bias and transparency, ensuring responsible adoption in domains like healthcare, law, and education.


Value of Research

 It aims to develop technical specifications and standards to efficiently manage terminology work ensuring seamless information exchange, minimizing misunderstandings, and enhancing both human-human and human-AI interactions.

Mohamed Khemakhem
Full Name: Mohamed Khemakhem
Role: convenor
Title & Organisation Name: MandaNetwork
Country: France
Linkedin
Standards Development Organisation: