Collaborations Partners and Networks

Vision

” World leading research and education in trustworthy AI that contributes to designing, developing and deploying AI in a resilient, reliable and trustable way to contribute to a sustainable future”

Untitled

Overview

AI is increasingly being integrated into daily life and enhancing our abilities. However, as society becomes more dependent on AI, present-day AI solutions also pose significant risks and challenges in various areas of application. AI has been known to discriminate against individuals based on factors such as race, age, and gender.

Additionally, AI systems can inadvertently spread misinformation and rumours on social media. It is now extremely important to guarantee that these requirements will be fulfilled to get the full benefits of AI and gain society's trust in these solutions.

In the upcoming years, we aim to develop computational solutions for AI systems that meet the requirements for trustworthiness.

Project Leaders

Untitled

Shahina Begum, Professor

Untitled

Mobyen Uddin Ahmed, Professor

Projects on Trustworthy AI

Trusty

DIGICOGS

Artimation

CPMXAI

XAPP

BariansafeDrive

MONITOR

Others AI Projects

Publications on Trustworthy AI

Artificial Intelligence in Predictive Maintenance: A Systematic Literature Review on Review Papers (Jul 2023)

Md Rakibul Islam , Shahina Begum, Mobyen Uddin Ahmed

7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)

Cognitive Digital Twin in Manufacturing: A Heuristic Approach (Jun 2023)

Atiq Ur Rehman, Mobyen Uddin Ahmed, Shahina Begum

19th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction (Jun 2023)

Waleed Reafee Sbu Jmoona, Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Ana Ferreira , Nicola Cavagnetto

19th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

Quantitative Performance Analysis of Machine Learning Model from Discrete Perspective: A CaseStudy of Chip Detection in Turning Process (Mar 2023)

Sharmin Sultana Sheuly, Mobyen Uddin Ahmed, Shahina Begum

15th International Conference on Agents and Artificial Intelligence (ICAART2023)

A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions (Mar 2023)

Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum

Journal of IEEE Access (IEEE-Access)

Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data (Feb 2023)

Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum

15th International Conference on Agents and Artificial Intelligence (ICAART2023)

Copyright © 2023 Trustworthy AI Research Group