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Challenges and limits of an open source approach to Artificial Intelligence

Citation:

Theben, A., Gunderson, L., López-Forés, L., Misuraca, G.C. & Lupiáñez-Villanueva, F. (2021). Challenges and limits of an open source approach to Artificial Intelligence. Study for the Special Committee on Artificial Intelligence in a Digital Age (AIDA), Policy Department for Economic, Scientific and Quality of Life Policies. Luxembourg: European Parliament.

Work data:

Type of work: Report

Categories:

ICT Infrastructure | Open Access

Tags:

artificial intelligence

Abstract:

Coupled with the numerous opportunities emerging from the use of artificial intelligence, open source comes with the potential for innovation capacity in both the public and private sector. Advantages include the ability to enhance transparency, facilitate the auditing of AI and thereby enhance citizen trust, while stimulating economic activities and domain-specific expertise. Disadvantages and limits include legal, technical, data, risk management, societal and ethical challenges. This analysis examines all main open source artificial intelligence pro and cons and proposes seven recommendations to boost its uptake.