In this session from the Organisational Psychology SIG, Dr Sumona Mukhuty and Rebecca Page-Tickell will explore the opportunities presented by Artificial Intelligence (particularly Generative Artificial Intelligence) in the Workplace, but also interrogate the accompanying challenges and what AI could mean for Psychological Well-being.
This will be an interactive session, where the audience will be encouraged to engage and participate in the discussions.
Provider Information
Organisational Psychology Special Interest Group
Who Should Attend?
All Organisational Psychology members. However colleagues from all SIGs will find this session relevant.
Given the new nature of AI and particularly Generative AI, this session will be of relevance to colleagues from all categories (A1, A2, A3), as specified in the BAM Framework
Presested by
Dr Sumona Mukhuty
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.
Rebecca Page-Tickell
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.
Benefits of attending
- Understanding the opportunities and challenges presented by Generative AI
- Interrogate the psychological implications of AI
- Awareness of well-being implications of AI
Contact
Please contact the BAM Office at [email protected] with any queries.
Event Fee
BAM Members: Free
Non-Members: £30
If you are booking multiple paid events as a Non-Member, it may be cheaper for you to purchase a BAM Membership as nearly all BAM Events are free or at a discounted rate for Members.
For more information, please visit BAM Membership
Registration closes on 10th July 2024 at 23:59 BST
Payment and Cancellation Policy
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:
- Go to your BAM Account
- Click 'My Events'
- Under 'Upcoming Events' will be the booking, please click Cancel Booking
- Follow the steps and complete the request
