AI-Blockchain integration to ensure explainability, accountability, traceability and reproducibility (EATR) in mission critical systems

This project is an effort to integrate two of the emerging technologies of our time, i.e., Artificial Intelligence and Blockchain. The purpose of this integration is to overcome the drawbacks of individual technologies and work in coherence for mutual benefits. Most of the current AI systems currently deployed are black boxes and they do not provide explanations of suggested decisions. With the integration of blockchain with AI, it is possible to create a transparent AI system with trail of data processing to address the ‘Why?’ question. Moreover, in the era of Internet of things, enforcement of GDPR and 5G in sight, it is compulsory for organizations to ensure the data and identity protection of the processes and people utilizing them. The objective of this research is to develop a logic model that complies with the privacy requirements as well as being explainable in its suggested course of action. The possible applications of such systems are in financial and IT compliance/ responsibilities/penalties insurance, governance and security. To that end, a system can be designed integration AI and blockchain technologies to continuously monitor different processes and ensure that all the functionalities are in place and working properly.

Faculty Supervisor:

Kin-Choong Yow

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Regina

Program: