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).
Category: Topic: Social Movement
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Université de l’Alberta Conférence Annuelle: Les leviers du pouvoir dans l’IA
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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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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
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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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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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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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‘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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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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World AI: Women in AI
We organized with Women in AI for this 2024 World AI group photo on the main stage. Thank you to everyone who participated!
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Reimagining AI Conference Mission Statements to Promote Inclusion in the Emerging Institutional Field of AI
AI conferences play a crucial role in education by providing a platform for knowledge sharing, networking, and collaboration, shaping the future of AI research and applications, and informing curricula and teaching practices. This work-in-progress, innovative practice paper presents preliminary findings from textual analysis of mission statements from select artificial intelligence (AI) conferences to uncover information gaps and opportunities that hinder inclusivity and accessibility in the emerging institutional field of AI. By examining language and focus, we identify potential barriers to entry for individuals interested in the AI domain, including educators, researchers, practitioners, and students from underrepresented groups. Our paper employs the use of the Language as Symbolic Action (LSA) framework [1] to reveal information gaps in areas such as no explicit emphasis on DEI, undefined promises of business and personal empowerment and power, and occasional elitism. These preliminary findings uncover opportunities for improvement, including the need for more inclusive language, an explicit commitment to diversity, equity, and inclusion (DEI) initiatives, clearer communications about conference goals and expectations, and emphasis on strategies to address power imbalances and promote equal opportunities for participation. The impact of our work is bi-fold: 1) we demonstrate preliminary results from using the Language as Symbolic Action framework to text-analysis of mission statements, and 2) our preliminary findings will be valuable to the education community in understanding gaps in current AI conferences and consequently, outreach. Our work is thus of practical use for conference organizers, engineering and CS educators and other AI-related domains, researchers, and the broader AI community. Our paper highlights the need for more intentional and inclusive conference design to foster a diverse and vibrant community and community of AI professionals.
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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.
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Board 192: Identifying and addressing the barriers to advancement for women in the engineering professoriate: A systematic review of literature
This work-in-progress paper shares ongoing findings from a mixed-methods systematic literature review that seeks to examine the retention of women in the engineering professoriate. We identified literature from EBSCOHost and Engineering Village that discussed women in the engineering professoriate in relation to either retention or persistence or both, as explicitly stated in their abstract. Following an initial review of 191 titles, 48 papers passed our inclusion criteria; further qualitative analysis of abstracts yielded 31 papers, which underwent a full paper review. Our ongoing findings suggest the following: a) research on the retention of women in engineering professoriate is being supported by grants and funding opportunities; b) the reviewed literature documented six barriers faced by women in the engineering professoriate: isolation of women faculty, work/life balance, inequitable distribution of service, underrepresentation of women faculty, implicit bias, and departmental resources; and c) although journal scholarship on this topic is not limited to popular engineering education publishing venues, conference scholarship are mainly from those popular in the field, such as the ASEE Annual Conference and the Frontiers in Education Conference. Future work will share the extent to which the reviewed literature discussed interventions to recruit or retain women in the engineering professoriate, and whether these interventions vary by the type of institution.