Trustworthiness-Related Risks in Autonomous Cyber-Physical Production Systems - A Survey

• The production industry is looking for new solutions to improve the reliability, safety and efficiency of traditional processes. Current developments in artificial intelligence and machine learning have enabled a high level of autonomy in smart-manufacturing and production systems within Industry 4.0, thus paving the way towards fully Autonomous Cyber-Physical Production Systems (ACPPS). Although ACPPS can have many advantages, there still remains a concern regarding how much we can trust those systems, due to limited predictability, transparency, and explainability, as well as emerging vulnerabilities related to machine learning systems. In this paper, we present the findings of a study conducted on the possible risks related to the trustworthiness of ACPPS, and the consequences they have on the system and its environment.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

Accident prevention

Industry 4.0

Machine learning

'current

Artificial intelligence learning

Cyber physicals

Level of autonomies

Machine-learning

New solutions

Production industries

Production system

Related risk

Safety and efficiencies

Cyber Physical System

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)