Safe-by-design development method for artificial intelligent based systems

Abstract

Albeit Artificial Intelligent (AI) based systems are nowadays deployed in a variety of safety critical domains, current engineering methods and standards are barely applicable for their development and assurance. The lack of common criteria to assess safety levels as well as the dependency of certain development phases w.r.t. the chosen technology (e.g., machine learning modules) are among the identified drawbacks. In addition, the development of such engineering methods has been hampered by the emerging challenges in AI-based systems design mainly regarding autonomy, correctness and prevention of catastrophic risks. In this paper we propose an approach to conduct a safe-by-design development process for AI based systems. The approach relies upon a method which benefits from a reference AI architecture and safety principles. This contribution helps to address safety concerns and to comprehend current AI architectures diversity and particularities.