Universities Dialogue On Artificial Intelligence (Ai) Workshop

Convener: Commission for University Education (CUE) supported by Origin Research and  Innovation Labs-UNECA in partnership with Intel Corporation Venue: Sawela Hotel, Naivasha 

Date: Friday,21st June 2024 

Dr. Edna Chebet Too, a senior lecturer in Computer Science and an expert in Artificial  Intelligence (AI), participated in a workshop convened by the Commission for University  Education (CUE) at Sawela Hotel, Naivasha, on Friday, June 21, 2024. The workshop aimed to  raise awareness about the opportunities and disruptions resulting from AI. 

The workshop highlighted several challenges associated with the advent of AI, including the AI  literacy gap between senior staff (lecturers) and students. It was noted that many staff members  are not well-informed about AI. Additionally, there is anxiety among staff and students regarding  the use of AI, skepticism, ethical concerns, privacy issues, assessment challenges, and plagiarism  involving AI tools. Other issues discussed were the potential marginalization resulting from AI,  inaccuracies or misinformation from AI tools, and the ethical and privacy implications of AI. 

The CUE recommended leveraging AI across various university activities, including innovation,  start-ups, research, management, policies, teaching, and examinations. Institutions were advised  to develop guidelines and policies for AI use. Integrating AI into all university curricula and  identifying AI champions in each department were also recommended. Additionally, forming  committees within institutions to promote AI usage and encouraging inter-university consortia  were suggested. 

Collaborations and partnerships in the AI domain were encouraged, as was the utilization of data  centers set up through the Konza technopolis. The need to establish AI innovation and incubation  labs for capacity building within institutions was highlighted and highly encouraged. 

Overall, the workshop emphasized the need to enhance understanding of AI and increase its  momentum in academia. Recommendations included training all academic staff to ensure they  can use AI ethically, capacity building, and creating platforms to showcase work generated by  staff and students.