Category: Research Topic: Social Movement

  • Dataset: Curated database and methodology for Modern Slavery Context Analyses

    Dataset: Curated database and methodology for Modern Slavery Context Analyses

    This dataset is not yet available for collaborations. We expect to report on it in December, 2025. Please contact our research Director, Dr. Branislav Radeljic, Ph.D., for more information.

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  • West Island Women’s Center

    West Island Women’s Center

    Presenting a workshop on navigating the hard and strange questions on AI in society and in our lives.

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  • Tech Tool: the Survivor’s Dashboard

    Tech Tool: the Survivor’s Dashboard

    A dashboard of curated information for survivor’s of modern slavery and the people who work to rescue others. This tool is available for collaborations. Please contact our Technical Director, François Pelletier, for more information.

  • Developing the Permanent Symposium on AI (poster): Presented at Engineering and Public Policy Division (EPP) Poster Session

    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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  • Nature Opinion: The path for AI in poor nations does not need to be paved with billions

    Nature Opinion: The path for AI in poor nations does not need to be paved with billions

    NATURE

    Researchers in low- and middle-income countries show that home-grown artificial-intelligence technologies can be developed, even without large external investments.

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  • 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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  • Pre-conference workshop: Université de l’Alberta Conférence Annuelle

    Pre-conference workshop: Université de l’Alberta Conférence Annuelle

    We were pleased to sponsor the 2025 Campus St Jean Annual Conference of the University of Alberta. Two Aula Fellows were present, and offered a workshop for faculty. The event was well attended. As Fellows, we were happy to receive feedback that the workshop empowered faculty to continue conversations on the complexities of AI in society and at the University, outside the conference and into their fields of work. Some of the attendees have since joined us as Fellows.

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  • Options and Motivations for International AI Benefit Sharing

    Options and Motivations for International AI Benefit Sharing

    Advanced AI systems could generate substantial economic and other societal benefits, but these benefits may not be widely shared by default. For a range of reasons, a number of prominent actors and institutions have called for efforts to expand access to AI’s benefits. In this report, we define the concept of international AI benefit sharing (“benefit sharing”) as efforts to support and accelerate international access to AI’s economic or broader societal benefits. Calls for benefit sharing typically invoke at least one of three motivations: 1) supporting inclusive economic growth and sustainable development, 2) fostering technological self-determination in low- and middle-income countries, and 3) advancing geopolitical objectives, including strengthening international partnerships on AI governance. Notably, as a subset of the third motive, some powerful actors – like the US government – may support benefit sharing as a tool to further their economic and national security interests. Benefit sharing could be implemented by (1) sharing AI resources (e.g., computing power or data), (2) expanding access to AI systems, or (3) transferring a portion of the financial proceeds from AI commercialisation or AI-driven economic growth. Depending on the objective that benefit sharing is intended to achieve, each of these approaches offers distinct opportunities and implementation challenges. These challenges include the potential for some benefit-sharing options to raise security concerns and increase certain global risks. Actors interested in benefit sharing may consider implementing low-risk forms of benefit sharing immediately, while launching cooperative international discussions to develop more comprehensive, mutually-beneficial initiatives.

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  • UAE Abaya Fashion: From Cover to Prestige (and Social Liberalization)

    UAE Abaya Fashion: From Cover to Prestige (and Social Liberalization)

    This paper examines the power of the UAE abaya. Moreover, it is concerned with the exploitation of luxury in the pursuit of social status and the attainment of greater freedom within an authoritarian context. As will be argued, the abaya has transitioned from serving the state in the process of identity formation to becoming a non-state actor capable of challenging dominant strictures and providing for policy alternatives. However, while the new or revamped abaya has contributed to self-actualization and made taboo topics more visible, it is also important to note that some Emiratis or minority groups may end up being excluded from this largely luxury-driven process. For the leadership, this could create an unenviable situation, particularly when considering the potential rift between the promises outlined in the state vision and the prerequisites needed for its implementation. With this in mind, the present analysis is also intended to assist policymakers working on tolerance and social cohesion, as well as those striving to position the UAE as a major point of reference in global affairs.

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  • ‘We Condemn the Sin, not the Sinner’: Understanding the Attitudes of Adventist and Baptist Believers in Montenegro towards Sexuality

    ‘We Condemn the Sin, not the Sinner’: Understanding the Attitudes of Adventist and Baptist Believers in Montenegro towards Sexuality

    Although we have seen studies on religion and sexuality in the West come to dominate the relevant scholarship, the postsocialist environment with a predominantly Orthodox population has received less attention. This paper fills the gap by examining the attitudes of Adventist and Baptist believers in Montenegro, with a particular focus on abortion, premarital sexual activities and non-heteronormative sexuality. Because we were dealing with a minority population, we opted for a qualitative methodology and conducted semistructured interviews with 17 Adventist and 15 Baptist believers. As observed, our research participants’ position towards sexuality is closely related to the teachings found in the Bible. However, it is possible to observe certain differences between the two groups; for example, the interviewed Adventists tend to be more conservative than the interviewed Baptists. In addition, the male Adventists seem slightly more liberal than female Adventists, whereas the situation is different among Baptists, where women come across as more liberal than men.

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  • Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems

    Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems

    Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, from healthcare to economics. However, its black box nature presents significant ethical challenges related to bias and transparency. AI applications are hugely impacted by biases, presenting inconsistent and unreliable findings, leading to significant costs and consequences, highlighting and perpetuating inequalities and unequal access to resources. Hence, developing safe, reliable, ethical, and Trustworthy AI systems is essential. Our team of researchers working with Trustworthy and Responsible AI, part of the Transdisciplinary Scholarship Initiative within the University of Calgary, conducts research on Trustworthy and Responsible AI, including fairness, bias mitigation, reproducibility, generalization, interpretability, and authenticity. In this paper, we review and discuss the intricacies of AI biases, definitions, methods of detection and mitigation, and metrics for evaluating bias. We also discuss open challenges with regard to the trustworthiness and widespread application of AI across diverse domains of human-centric decision making, as well as guidelines to foster Responsible and Trustworthy AI models.

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  • World AI: Women in AI

    World AI: Women in AI

    A collaborative event with Women in AI. We asked conference participants to tell us about their hard questions in AI, and had many fruitful conversations for future collaborations.

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