Staged by the BAM Organisational Psychology Special Interest Group
The advent of Generative Artificial Intelligence has had a significant impact on academics, both in terms of our teaching, learning, and assessment but also in the ways that we work.
This online session offers space to discuss GAI and how we have worked with it, the challenges and successes and share practices that we have seen or developed.
This is open to all those who have an interest in working with GAI, at any stage, including complete novice through to consistent engagement and practice
BAM Organisational Psychology SIG
This is relevant for anyone who is working with or interested in GAI at any level of experience and knowledge.
The event speaks to all sections, as detailed in the BAM Framework
Reader, Leeds Beckett University
Reader, Leeds Beckett University
Dr Sumona Mukhuty is a Reader in Organisation Studies at Leeds Beckett University. Here she is currently leading work on AI in Higher Education in Leeds Business School, helping to develop colleague and student AI literacy and responsible adoption.
She also leads the Research Cluster on Leadership, Management & Business Education. At BAM, she is the SIG Co-Chair for the Organisational Psychology SIG.
Associate Professor, University of East London
Associate Professor, University of East London
Rebecca Page-Tickell is an Associate Professor at University of East London. Recently as director of education and experience (DEE) she facilitated a programme of redesigning assessments by taking into account the affordances of AI.
She is also a principal practitioner with the Association for Business Psychologists, and Co-Track Chair for the Organisational Psychology SIG at BAM.
Please contact the BAM Office at [email protected] with any queries.
This event is FREE to all attendees.
Registration closes on 16th October 2024 at 23:59 BST
Payment for the event must be received before the start date of the event concerned. Access will not be permitted to the event if full payment has not been received.
Cancellations
Cancellations received within 14 days of booking your place on the event will receive a full refund.
Cancellations received after the 14-day cancellation period and later than 14 days before the start date of the event will not be eligible for a refund.
Although we endeavour to run all events as advertised, BAM reserves the right to cancel any event if, for example, there are not enough people to justify running the event or if other significant unforeseen circumstances arise.
To cancel a booking a cancellation request must be submitted via your BAM Account, to do this: