Category: Tammy Mackenzie, M.B.A.

  • Université de l’Alberta Conférence Annuelle: Les leviers du pouvoir dans l’IA

    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).

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  • What We Do Not Know: GPT Use in Business and Management

    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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  • Les leviers du pouvoir dans l’IA

    Les leviers du pouvoir dans l’IA

    La camaraderie Aula est fièr de commanditer la conférence annuel la faculté du campus Saint Jean de l’Université de l’Alberta. Notre directrice, Tammy Mackenzie, y présente les leviers du pouvoir dans l’IA dans la société albertaine et de la francopĥonie. Le tout dans le but de remmettre le pouvoir décisionnel dans les mains des gens qui sont impliqués: nous tous.

    Pour en savoir plus, voir: https://www.ualberta.ca/en/campus-saint-jean/congress/index.html

  • Easy to read, easier to write: the politics of AI in consultancy trade research

    Easy to read, easier to write: the politics of AI in consultancy trade research

    AI systems have been rapidly implemented in all sectors, of all sizes and in every country. In this article, we conduct a bibliometric review of references in recent consultancy reports on AI use in business, policymaking, and strategic management. The uptake of these reports is high. We find three positive factors: focus on client-facing solutions, speed of production, and ease of access. We find that the evidentiary quality of reports is often unsatisfactory because of references-clubbing with other consultancy reports, references to surveys without transparency, or poor or missing references. To optimize the utility of consultancy reports for decision-makers and their pertinence for policy, we present recommendations for the quality assessment of consultancy reporting on AI’s use in organizations. We discuss how to improve general knowledge of AI use in business and policymaking, through effective collaborations between consultants and management scientists. In addition to being of interest to managers and consultants, this work may also be of interest to media, political scientists, and business-school communities.

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  • Towards regulating AI : A natural, labour and capital resources perspective

    Towards regulating AI : A natural, labour and capital resources perspective

    Policymakers who are looking at artificial intelligence (AI) applications are thinking about what we as a society want to achieve and what we need to protect, yet it is not commonly known that AI apps require intensive natural resources, labour and capital.

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  • Ceiba Law Firm Annual Retreat

    Ceiba Law Firm Annual Retreat

    We were pleased to be of service to Ceiba Law for their annual retreat this year. Our director Tammy Mackenzie joined the firm partners and associates to discuss the changes and opportunities of AI for lawyers in cybersecurity and corporate law. A huge shout out to partners Vanessa Henri, Elodie Meyer and Shawn Ford for an invigorating retreat and inspiring firm ethos. A law firm purpose built for the 21st century.

    For more information on Ceiba Law, see https://ceiba.law/

  • Path to Personalization: A Systematic Review of GenAI in Engineering Education

    Path to Personalization: A Systematic Review of GenAI in Engineering Education

    This systematic review paper provides a comprehensive synthesis across 162 articles on Generative Artificial Intelligence (GenAI) in engineering education (EE), making two specific contributions to advance research in the space. First, we develop a taxonomy that categorizes the current research landscape, identifying key areas such as Coding or Writing Assistance, Design Methodology, and Personalization. Second, we highlight significant gaps and opportunities, such as lack of customer-centricity and need for increased transparency in future research, paving the way for increased personalization in GenAI-augmented engineering education. There are indications of widening lines of enquiry, for example into human-AI collaborations and multidisciplinary learning. We conclude that there are opportunities to enrich engineering epistemology and
    competencies with the use of GenAI tools for educators and students, as well as a need for further research into best and novel practices. Our discussion serves as a roadmap for researchers and educators, guiding the development of GenAI applications that will continue to transform the engineering education landscape, in classrooms and the workforce.

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  • Collision Toronto: Booth

    Collision Toronto: Booth

    Emmanuel Taiwo and Tammy Mackenzie represented the Aula Fellowship in the social good start-up stage. Thank you, Collision Toronto, for this excellent experience with old and new friends, working for good AI together in excellent company. Thanks also to Aula Fellow Rubaina Khan, Victoria Kuketz, and Marisa Eleuterio, for technical support throughout!

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  • Collision Toronto: Presentation

    Collision Toronto: Presentation

    Presented the Aula Fellowship from the Non-Profits Stage. Thank you, Victoria!

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  • OECD Gender Equality in Technology Governance

    OECD Gender Equality in Technology Governance

    Director Mackenzie represented the Aula Fellowship and the AI context in conversations at this global conference for equity. We stand together, or we fall.

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