In a pivotal time where AI-powered tools shape efficiency in research processes, the world of academia is witnessing a significant transformation. This calls for a thorough discussion to define ethical AI usage in order to leverage the technology to improve the landscape of academia.
We recently hosted a webinar to address and discuss the usage of AI in research. The webinar titled, “Research in the age of AI – Tools, Trends & Innovations” was moderated by Knowledge E’s chief academic officer, Dr. Emily Choynowski; and featured Zendy co-founder Kamran Kardan, Zendy Chief Technology Officer, Rodrigo Pinto, and Professor Leo Lo from the University of New Mexico.
Kamran Kardan – CEO of Knowledge E and Zendy
- Driving an AI-powered research library [Zendy], ethical usage of AI is a core value.
- AI benefits and facilitates interdisciplinary research by allowing researchers to quickly learn about areas of study they are not specialised in, which creates productivity and efficiency in research processes. The technology also allows researchers to analyse citations and determine its relevance to their current projects.
- To tackle the ethical challenges AI presents, Zendy released an AI imperatives statement that guides the direction and intention behind developing AI products.
Professor Leo Lo – Professor at University of New Mexico
- Governments and businesses should invest in developing AI literacy in current education landscape
- Conducted a survey in April 2023 amongst US academic library employees when Chat GPT was new and found that AI training was required, the employees presented a limited understanding of AI concepts, and that generative AI is not frequently used.
- Conducted follow-up surveys in December 2023 and found that there was a shift in attitude towards AI. Libraries had implemented AI solutions and applications while actively developing AI literacy initiatives.
- Developed AI competencies for librarians that tackles the comprehensive understanding, training and analysis required to confidently use AI to streamline library operations and transform services.
Rodrigo Pinto – CTO of Zendy
- Introduction to LLMs: a LLM (Large Language Model) is a type of AI designed to understand and generate human language. This technology has reasoning capabilities, understands questions and reads from external knowledge to respond with insights.
- Introduction to ZAIA – AI Assistant for research: ZAIA is an LLM developed by Zendy. It was designed to expedite the research process by analysing study results and providing credible responses backed by references.
- Challenges of AI: bias, reliability, and data privacy. The mitigation strategies deployed by Zendy are safeguards and chains of verification and thought to minimise bias.
As AI advances and creates efficiency across different industries, there has been a significant requirement to regulate the use of AI. In our efforts to make research accessible we launched a suite of AI tools on Zendy last year, to ensure ethical usage of our AI technology, we also established a comprehensive list of AI imperatives to guide the development and implementation of AI within our products.
Discover academic research and easily consume papers with comprehensive AI tools now on Zendy.