Thursday 21st March 2024
09:30am - 3:20pm
Virtual Conference
This conference will explore how universities can develop an institution-wide approach to generative artificial intelligence (AI). It will examine the next steps in designing clear expectations and guidelines and constructing a whole-community view on equity, ethics and usage of AI.
This implementation-led event will assess how to enhance AI literacy amongst the HE workforce, how to harness AI to drive improved student outcomes and what it takes to support a continuous path to organisational learning to emerge as an AI-mature institution.
This event will also feature an interactive AI Literacy Accelerator Workshop designed for all HE teams.
Objectives
Examine insights on how to develop university-wide guidelines and standards on AI
Assess how your institution can harness AI to enhance student outcomes
Explore practical tools for advancing the AI literacy of your staff
Evaluate your institution’s path to AI maturity through organisational learning and planning
Headline Speakers
Andy Ramsden
Director of Technology Enhanced Learning & Teaching and Learning Analytics
The University of Law
Danny Liu
Associate Professor
University of Sydney
Sue Attewell
Head of AI and Co-Design, Jisc
Co-Lead, The National Centre for AI in Tertiary Education
Dr Sumona Mukhuty
Reader, Leeds Beckett University
Associate, Dixon Humphreys
Agenda
9:30 am
Chair’s Welcome Address
Professor Yanguo Jing
Dean and Professor in AI
Leeds Trinity University (CONFIRMED)
9:40 am
Developing a University-Wide Approach to Guidelines and Governance of AI
Approaches to developing university-wide standards and expectations on how staff and students harness AI
What does it mean to develop a structure of governance and accountability for AI’s usage?
Working in collaboration to develop guidelines that reflect the reality of AI’s proliferation
Where to draw the lines as generative AI becomes more integrated into daily applications
How do we know if we’ve been successful at managing and monitoring the use of AI across an institution?
How will the expectations of regulators evolve and how we can be proactive in designing robust guidelines?
Dr Neil Gordon
Chair, British Computer Society Ethics Group
Reader in Computer Science, University of Hull (CONFIRMED)
Dr Nick Watmough
Quality Enhancement & Standards Specialist
QAA (CONFIRMED)
10:20 am
Break and Networking
10:40 am
Putting Educators in the Driver’s Seat of AI: Equity, Steerability and Visibility – A Case Study from the University of Sydney
How can an institution develop a university-wide approach when it is difficult to control usage and output of generative AI?
This case study from the University of Sydney will explore an innovative approach to the design and development of an AI platform that guides AI tools to meet institutional expectations. The session will consider how to:
Ground AI responses in contextualised resources from academics or the institution, reducing hallucination and improving relevance
Develop greater control of how AI platforms can be steered to benefit staff and students
Embed pedagogically meaningful approaches into interactions with AI
Develop an institution-wide ability to monitor usage, enhance visibility, and improve the quality of responses
Danny Liu
Associate Professor
University of Sydney (CONFIRMED)
11:20 am
Break and Networking
11:40 am
How are Students Using Generative AI Now? Action Points for Sector Leaders
What are the current AI usage trends of students and how is it deployed across their learning experience?
What are student’s current perceptions and concerns over AI?
How will the sector support AI literacy, equity and manage overreliance?
What are student’s expectations from an institution in formulating transparent policies around responsible and ethical use of AI?
How can a university develop an approach that supports students to harness the opportunity and potential of AI across their student experience?
Sue Attewell
Head of AI and Co-Design, Jisc
Co-Lead, The National Centre for AI in Tertiary Education (CONFIRMED)
12:20 pm
Break and Networking
1:00 pm
The AI Literacy Accelerator Workshop: What Tools to Use, How to Use them and Where do they Deliver Impact?
This high-energy workshop will explore the tools HE teams can be harnessing across an institution to drive real impact on student outcomes. The session will explore:
Building your teams AI literacy toolkit
A demo of the tools and platforms to embed into daily practice
A guide on prompting and ensuring high value output
Dr Sumona Mukhuty
Reader, Leeds Beckett University
Associate, Dixon Humphreys (CONFIRMED)
2:00 pm
Break and Networking
2:20 pm
Enhancing Decision Making for Students: AI as a Tool for Data Democratisation
What do we mean by data democratisation and how we can support the whole university community to harness data to drive decision making?
Using generative AI to challenge the existing data analysis culture across an institution
Managing ethical and privacy considerations when thinking about data democratisation
The AI tools and plugins that can be used to explore and ask questions of data by non-specialists
Building understanding of prompts and questions that enhance data literacy for staff
How can AI be integrated into our existing data democratisation toolkit?
How do we link AI-led data literacy to improved decision making on the student journey?
Andy Ramsden
Director of Technology Enhanced Learning & Teaching and Learning Analytics
The University of Law (CONFIRMED)
2:50 pm
Working Towards Alignment on AI in Education – A Case Study from the Universities of Warwick (UK) and Monash (Australia)
Building communities of practice on AI across professional services and faculty
Strengthening AI ethics, equity and integrity
Enhancing the student experience through AI
Dr. Neha Gupta
Assistant Professor in Information Systems Management and Analytics group
Warwick Business School, University of Warwick (CONFIRMED)
Dr. Isabel Fischer
Associate Professor of Information Systems
Warwick Business School, University of Warwick (CONFIRMED)
Associate Professor Ari Seligmann
Associate Dean of Education
Monash University (CONFIRMED)
3:20 pm
Conference Close
* Programme subject to change
Audience
Those in attendance will include:
Directors of Teaching and Learning
Directors of Technology Enhanced Learning
Directors of Technology and Analytics
Directors of Student Experience
Directors of Student Services
Directors of Policy
Academic Developers
Pro Vice Chancellors
Deans
Provosts
Heads of Faculty
Senior Lecturers
Chief Information Officers
Chief Operating Officers
Data Governance Officers
Pricing
Public Sector
£345 + VAT
Attend Generative AI in HE
Private Sector
£395 + VAT
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HE Professional
£395 + VAT
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