As we start to prepare for our new national AI centre (AI LEARN), a number of visitors will be visiting the University of Bergen in the coming months. We will hold a series of seminars which will help to raise the profile of UiB as a leading institution for research on empowering human learning with AI. Come join us for An August of AI in Education, a series of seminars that will explore various themes and topics around how AI is impacting education, and how various different institutions are starting to respond to it.
The second seminar is being held by Dr. Simon Knight, Associate Professor at the University of Technology Sydney (UTS) Transdisciplinary School, entitled "Democratising AI".
Register for the seminar here.
Abstract
As education institutions navigate the risks and potentials of Artificial Intelligence (AI) in education, stakeholders with deep domain knowledge regarding education are faced with possible exclusion from decisions about what AI is being used or how, or with having to learn to navigate complex technologies and evidence, and the contested policy space. While significant recent attention has been paid to developing policy for AI, even how 'AI' is defined and understood lacks clarity, in both policy and across stakeholders, with profound implications for what gets regulated.
How can diverse stakeholders, across domains such as education, technology expertise, and policy making, come together to navigate these decisions constructively? This talk will present recent work exploring policy dilemmas and methods for supporting stakeholder engagement, introducing some opportunities for developing methods and international comparison and collaboration.
Bio
Dr. Simon Knight is an Associate Professor at the University of Technology Sydney (UTS) Transdisciplinary School, and Australian Research Council, Discovery Eary Career Award (DECRA) Fellow. He is a previous co-editor-in-chief of the Journal of Learning Analytics, and inaugural, immediate past Director, of the UTS Centre for Research on Education in a Digital Society (UTS:CREDS).
Dr. Knight researches how people learn to navigate uncertainty, disagreement, and evidence, and the mediating role of technology in that. His work has developed design approaches for learning analytics, exploring the use of data as a form of evidence, and design for learning towards epistemic and ethical reasoning.
