We are proud to announce Aula Fellow’s Victoria Kuketz’s recent appointment as an Obama Fellow. Follow Victoria for news of her Fellowship this year, where she will be concentrating on inclusion and rational governance.
Category: Research Topic: Institutionalism
Research Topic: Institutionalism
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Developing the Permanent Symposium on AI (poster): Presented at Engineering and Public Policy Division (EPP) Poster Session
A multidisciplinary, reflective autoethnography by some of the people who are building the Permanent Symposium on AI. Includes the history of the project.
RQ 1: Challenges that unite AI policy & tech
RQ 2: How to design the PSAI?
RQ 3: What factors influence the adoption and scalability of the PSAI?
This is the Flagship project of the Aula Fellowship.
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Dataset: Management Studies on GPT in Businesses (Full Systematic Review)
This dataset is available for collaborations. Please contact our research Director, Dr. Branislav Radeljic, Ph.D., for more information.
Used in: What We Do Not Know: GPT Use in Business and Management
More Information
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Université de l’Alberta Conférence Annuelle: Les leviers du pouvoir dans l’IA
Les leviers du pouvoir en IA
Conférencière : Tammy MacKenzie
Congrès du Campus Saint-Jean de l’Université de l’Alberta, le 25 avril 2025, Edmonton, AB (Canada). -
What We Do Not Know: GPT Use in Business and Management
This systematic review examines peer-reviewed studies on application of GPT in business management, revealing significant knowledge gaps. Despite identifying interesting research directions such as best practices, benchmarking, performance comparisons, social impacts, our analysis yields only 42 relevant studies for the 22 months since its release. There are so few studies looking at a particular sector or subfield that management researchers, business consultants, policymakers, and journalists do not yet have enough information to make well-founded statements on how GPT is being used in businesses. The primary contribution of this paper is a call to action for further research. We provide a description of current research and identify knowledge gaps on the use of GPT in business. We cover the management subfields of finance, marketing, human resources, strategy, operations, production, and analytics, excluding retail and sales. We discuss gaps in knowledge of GPT potential consequences on employment, productivity, environmental costs, oppression, and small businesses. We propose how management consultants and the media can help fill those gaps. We call for practical work on business control systems as they relate to existing and foreseeable AI-related business challenges. This work may be of interest to managers, to management researchers, and to people working on AI in society.
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Dataset: Survey of leaders on their institutional purview over AI (anonymized)
This dataset is under construction and not yet available for collaborations. We expect to publish a dataset report on this blog in November, 2025. Please contact our Research Director, Dr. Branislav Radeljic, Ph.D., for more information.
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Generative AI through the Lens of Institutional Theory
This study examines the adoption of Generative AI (GenAI) systems through the lens of Institutional Theory. Using a mixed-methods approach, we analyze how coercive, normative, and mimetic pressures influence GenAI integration in organizations. Key findings reveal:(1) regulatory frameworks significantly shape GenAI adoption strategies, with variations across industries and regions;(2) organizations balance conformity to institutional norms with innovation, often through strategic decoupling;(3) GenAI’s unique capabilities challenge traditional institutional pressures, necessitating new governance models; and (4) early GenAI adopters emerge as new sources of mimetic pressure, accelerating industry-wide adoption. We propose a novel framework capturing the interplay between GenAI characteristics and institutional dynamics, contributing to both Institutional Theory and AI adoption literature.
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Skills Lab Panel “Building Bridges”, for the Culture and Cohesion Summit.
Join Victoria Kuketz for an intercultural Skills Lab Panel “Building Bridges”, for the Culture and Cohesion Summit.
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The Rainbow Economy Model Leads to Holistic Circular Model
The Rainbow Economy Model is a theoretical framework that proposes a holistic and inclusive approach to economic development. This model emphasizes the importance of diversity, equality, and sustainability in driving economic growth and prosperity. It recognizes that a vibrant and resilient economy is built upon a diverse range of industries, businesses, and individuals, each contributing their unique strengths and perspectives. The Rainbow Economy Model promotes the integration of social, environmental, and economic factors in decision-making processes, aiming to create a balanced and equitable society. This research aims to explore the principles and potential implications of the Rainbow Economy Model, assess its feasibility in different contexts, and identify strategies for its implementation. The research adopts mixed methodology to ascertain the holistic sustainability circular model namely the “The Rainbow Economy Model”. The practical, the social implications are quite evident, and the contribution is the data collected for future research and the Rainbow model of Sustainability.
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Preconference workshop for International AI Policy Conference at MILA.
Aula Fellows presented a pre-workshop on asking hard questions on AI. Participants practiced identifying key chaarceristics of hard questions and discussing them together. During the conference that followed, several participants stood and asked hard questions, and several presenters were very happy to receive support and feedback on their most pernicious problems. We were able to build on existing collaborations and continue with or bridge-building between all the people and the people in decision-making roles on AI in society.