• Responsible use of AI in Library and Information Services

• Senior Members, Chief and Principal Library Assistants

This training program will equip library staff with knowledge about the responsible and effective use of AI for accurate information retrieval. With the rise of AI, libraries can enhance their services. This training introduces staff to leading chatbots: Cohere, ChatGPT, Gemini, and Copilot, exploring their benefits for efficient information retrieval.

Participants will learn querying techniques, evaluate information accuracy, and address ethical concerns like privacy and bias. Practical exercises build skills in using chatbots critically. By the end, staff will confidently navigate AI chatbots, ensuring accurate and ethical information services.

Key takeaways:

• Understanding AI chatbots' potential and limitations

• Skillful use of chatbots for information retrieval

• Critical evaluation of information sources

• Ethical practices for privacy and bias awareness

• The training will take place on the 2nd of September, 2024. The session will last for a maximum of 4 hours.

All you need include:

• A computing device with a web browser and access to the internet 

• An OpenAI Account, Google Account, and Microsoft Account. Please setup the Chatbots on your computers before attending the training. Instruction on the setups can be found in Module 1 (Introduction to AI Chatbots) above.

  • Click here to setup OpenAI's ChatGPT Chatbot

  • Click here to setup Google's Gemmin's Chatbot

  • Click here to setup Microsoft's Copilot Chatbot

  • Click here to setup Cohore's Chatbot

• Dennis Agyemanh Nana Gookyi holds a B.Sc. degree in Computer Engineering from Kwame Nkrumah University of Science and Technology (KNUST), Ghana (2013), and M.Eng. and Ph.D. degrees in Information and Communication Engineering from Hanbat National University (HNU), South Korea (2017, 2021). He worked as a Researcher at the Intelligent Image Processing Research Center of Korea Electronics Technology Institute (KETI) from 2021 to 2022. He is a Research Scientist at the Electronics Division of the Council for Scientific and Industrial Research, Institute for Scientific and Technological Information (CSIR-INSTI), Ghana. His research focuses on Deep Learning Hardware Primitives Design, Tiny Machine Learning Hardware Implementation, and System-on-Chip Design.