The Next Generation of Women Innovators Inspired to Build Self-Confidence and Competence
Accomplished speakers in the persons of the Chancellor of Massachusetts Institute of Technology (MIT), Prof. Melissa Nobles, Vice-Chancellor of KNUST, […]
Chancellor of MIT advocates for Interdisciplinary Research in Higher Education
The Chancellor of the Massachusetts Institute of Technology (MIT), Prof. Melissa Nobles, gave a Public Lecture on Students at the
Amazon Web Services (AWS) Re/Start Digital Training Programme
The Ministry of Communications, Ghana, in collaboration with the Responsible Artificial Intelligence Lab (RAIL) and the Smart Africa Digital Academy
AI and Gender Workshop
The Responsible AI Lab in KNUST, in partnership with Ladysmith, a feminist Research hub, organised a two-day Gender and Artificial
RAIL AND Women in Engineering (WinE) KNUST Establishes the SHECodes Club
In partnership with Women in Engineering (WinE) KNUST, RAIL has established a coding club called the SHECodes Club. The club,
Official opening of RAIL by the Chancellor of KNUST, His Royal Majesty Otumfuo Osei Tutu II
His Royal Majesty Otumfuo Osei Tutu II, Asantehene and Chancellor of KNUST, officially commissioned the KNUST Engineering Education Project (KEEP) Postgraduate
RAIL KNUST advocates for Digital Interventions for Smallholder Farmers in the Agriculture Sector
The Responsible AI Lab (RAIL) led the discussion on using applied AI responsibly for advancing interventions for smallholder farmers through digital innovations at the
RAIL KNUST And Google Organises a Technical Workshop on Machine Learning and Interview Preparation
In partnership with Google Research Accra, the Responsible Artificial Intelligence Lab (RAIL) at the Kwame Nkrumah University of Science and
AI Researchers And Practitioners Urged To Develop Afrocentric Datasets At The RAIL And RAIN Conference 2023
The Responsible Artificial Intelligence Lab (RAIL) and the Responsible Artificial Intelligence Network (RAIN) Africa jointly organized a historic 2-day responsible AI and ethics
RAIL Introduces a Quantitative Approach to Measuring Responsible AI
The Responsible Artificial Intelligence Lab (RAIL) introduced the FACETS framework as a quantitative approach to measuring responsible AI at a lecture on