Safety Assurance of Artificial Intelligence-Based Systems: A Systematic Literature Review on the State of the Art and Guidelines for Future Work

• Published in: IEEE access Vol. 10; pp. 130733 - 130770
• Main Authors: Neto, Antonio V. Silva, Camargo, Joao B., Almeida, Jorge R., Cugnasca, Paulo S.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Assurance; Bibliographies; Effervescence; Explainable artificial intelligence; Federal regulation; formal verification; Guidelines; Learning systems; Literature reviews; machine learning; Neural networks; product safety engineering; Rail transportation; risk analysis; Risk management; Safety; State-of-the-art reviews; Systematic review; Systematics

The objective of this research is to present the state of the art of the safety assurance of Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this purpose, a Systematic Literature Review comprising 5090 peer-reviewed references relating safety to AI has been c...