One objective of the Responsible AI Lab (RAIL) is to deepen the understanding of how responsible AI tools and frameworks can be developed and applied to advance computer, biomedical, agricultural …
As part of its mandate, the Responsible Artificial Intelligence Lab (RAIL) seeks to increase female STEM participation and establish a sustainable approach to nurturing local talent to undertake responsible AI …
The Responsible Artificial Intelligence Lab (RAIL) was unveiled at the Women in Engineering (WinE), KNUST Chapter meeting on Wednesday, 10th August 2022, at Levine Hall. The briefing included RAIL’s vision and …
Applications for the 2022/2023 Academic year have closed.
Prof. Jerry John Kponyo, Principal Investigator and Scientific Director of the Responsible AI Lab (RAIL), gave a lecture on Responsible AI & Ethics from an African Perspective on 28th June 2022 at the Institute for Ethics in …
The Responsible Artificial Intelligence Lab (RAIL) is pleased to announce the 1st Call for Research Proposals for funding support as in line with the lab’s objectives of developing talents and …
The Responsible Artificial Intelligence Lab (RAIL) at the Kwame Nkrumah University of Science and Technology (KNUST) has launched its inception workshop on the theme: ‘The Role of Responsible AI in …
The Responsible AI Lab (RAIL) gave a presentation at the Responsible AI Network (RAIN), Africa workshop on the theme “Responsible AI Applications in Africa” on 7th April 2022 via zoom. Three panellists from Ghana, Uganda, and Burkina Faso presented their current research on applying AI and Machine Learning in the African context.
The Responsible Artificial Intelligence Lab (RAIL) at KNUST participated in an expert consultation workshop held on 16th March 2022 via zoom meant to bring together experts in digital technology, AI and data governance.