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This interactive workshop explores the practice of responsible AI and equips participants to contribute to international debates on critical issues in AI science, policy, and development.

Decisionmakers in AI have a series of tough questions, and they're asking for help in tackling them. To answer them, this 90-minute workshop offers three objectives:

1. Learn about the diversity of responsible AI practices
2. Learn to discern the sociotechnical issues in relation to your field and AI
3. Practise participating in dialogues on difficult issues in AI

The introduction of generative AI into the world of work, education, and research is profoundly transforming the way we exercise our skills, calling into question the specificity of properly human tasks and raising fundamental issues about the integrity of human identity. What is the impact of this technology on the way we understand ourselves as human beings? Rather than giving in to a catastrophist vision, we need to examine the emotions that AI arouses, the perceived and real risks that it engenders, and the opportunities for adaptation and evolution that it offers to natural and social intelligence.

However, this transformation cannot be considered independently of language, which structures thought, social relations, and interaction with these AI tools. French, as a language of knowledge and innovation, plays a key role in developing the skills needed for a critical and effective use of generative AI. In this context, the French-speaking world and French's partner languages in the global South are essential for guaranteeing linguistic and conceptual diversity in research and development, and thus avoiding a technological standardisation that impoverishes innovation.

Marc-Antoine Dilhac (Associate Professor of Philosophy, doctorate from Université Paris Panthéon-Sorbonne) is a professor in the Department of Philosophy at Université de Montréal. After holding the Canada Research Chair in Public Ethics and Political Theory (2014-2019), he is the recipient of a Canada-CIFAR Chair in AI (Ethics and Governance of AI) and participates in the pan-Canadian AI strategy as a member of the Government of Canada's AI Advisory Council and co-leads its working group on public awareness.

Since 2019, he has been director of Algora Lab (University of Montreal) at Mila. He acts as Director of Governance and International Collaboration at OBVIA (International Observatory on the Societal Impacts of AI), and is a member of IVADO.

In 2017, he initiated the Montreal Declaration for the Responsible Development of AI, for which he headed the scientific committee. Then in 2020, on behalf of UNESCO, he led an international deliberation process on the Recommendation on the Ethics of AI. In 2021, he advised the Council of Europe (Ad Hoc Committee on Artificial Intelligence, CAHAI), supervising and analysing the European consultation for the establishment of a legal instrument regulating the use of AI. Between 2019 and 2023, he acted as an expert for several international organisations such as the OECD and the AI working group responsible for the Global Partnership on AI. He has also advised the international organisation ICESCO since 2023.

Valentine Goddard proposes an exploration of the impact of AI on economic, cultural, and political power relations, with the basic precept that ‘to understand the impact of AI on the arts is to understand the impact of AI on our civilisation.’ After a brief review of the technical and legal foundations of AI, she will address the issues at the heart of contemporary societal debates.

The increase in misinformation, online violence, and conflicts linked to polarisation using algorithmic systems can undermine the foundations of democratic societies. Algorithmic biases and cultural erosion can cause physical and economic harm. Will existing laws be sufficient to manage these risks?

The systems for decision-making, information retrieval, recommendation, and multimodal generation must respect a diversity of knowledge and modes of expression, but how will we achieve this? The arts are part of the solution, but unfortunately culture is a sector that has been shaken by the launch of generative AI platforms. Art is not only a vehicle for literacy and civic engagement, it is a critical lens through which to understand the impact of AI on the future of our civilisations. Architect of the Art Impact IA workshops (2019) and currently leading the Art, AI, Law, and Society Centre of Expertise
(2024), Valentine will share her observations on the legal and economic implications of AI for the arts and culture (copyright, agency, access to fair remuneration, cultural security, etc.) as well as curatorial practices in support of responsible generative AI.

Canada has an AI ecosystem that is the envy of the world, yet Canadians' digital dependency is causing a loss of economic and cultural (data) value. How should we adapt our partnerships in the face of technological domination by techno-goliaths? What are the implications for digital sovereignty and the autonomy of our researchers? Should we put in place AI policies that are sensitive to gender, the environment and the geopolitical context? Ms Goddard will conclude with some ideas on how to navigate a period of rapid change in a chaotic context.

Finally, she'll leave you with a question: OpenAI, an AI company, is offering you an Intelligent Agent free of charge for your institution. Will you accept?

A lawyer and artist, Valentine Goddard is an expert in AI policy and governance. She was a member of Canada's Artificial Intelligence (AI) Advisory Council and is regularly invited as an expert in working groups at the United Nations. In 2017, she founded the , an interdisciplinary organisation that explores the social, legal, economic and political implications of AI through approaches that integrate the arts. AIIA has created a centre of expertise dedicated to the economic and legal implications of generative AI in the arts and culture and has launched the Arts-Law Fellowships for artists of all disciplines. Ms Goddard designs and directs transdisciplinary programmes combining civic engagement, knowledge mobilisation and innovation in public policy and regulation. For example, Art Impact AI's recommendations have contributed to the adoption of international policies recognising the essential role of the arts and civil society in the governance of AI and digital technologies.

Ms Goddard is actively involved in analysing emerging AI legislation and has initiated and chaired international groups on gender equality in the digital economy, whose recommendations influence the Women, Peace and Security agenda. In 2023, she won Mozilla's Creative Media Award for , a virtual and interactive exhibition that questions AI as a medium. A renowned international speaker, Ms Goddard is regularly invited to speak on the ethics and governance of AI at leading forums around the world. Her expertise is widely sought, actively contributing to the global dialogue on ethical and regulatory issues related to AI.

In this session, we will explore how the development and integration of artificial intelligence is transforming the practices and governance of organisations. We will address ethical concerns related to data collection and use, system transparency, and fairness and non-discrimination in automated decision-making processes. We will highlight the governance challenges of reconciling innovation and responsibility, from defining a coherent AI strategy to deploying ethics and compliance practices and tools. Finally, we will examine the approaches that ensure the ethical development and deployment of artificial intelligence, in order to guide organisations towards an informed and responsible adoption of these new technologies.

Joé T. Martineau is Associate Professor of Organizational Ethics in the Department of Management and holds the Chair in Organizational Ethics and Governance of Artificial Intelligence at HEC Montréal. Her research, teaching, and organisational intervention interests focus on ethics and governance issues affecting private, public and healthcare sector organisations. Her work has led her to reflect on the composition and effectiveness of ethics programs and the diversity of ethical management practices in organisations, the various factors that influence the ethical thinking, decision-making, and behaviour of organisational players, and the ethical issues associated with the digital transition and the development and deployment of artificial intelligence in organisations. She is co-leader of Cluster 5 - Ethics, EDI and Indigenous Engagement of the IVADO IAR3 program. She is also a regular member of the Observatoire international sur les impacts sociétaux de l'AI et du numérique (OBVIA), an associate member of the Unité de recherche en éthique pragmatique de la santé at the Institut de recherches cliniques de Montréal (IRCM), a regular member of the Institut d'éthique appliquée (IDÉA) at Université Laval, and a co-researcher at the Centre de recherche en éthique (CRÉ) at Université de Montréal.

In an ever-changing world, artificial intelligence (AI) and new technologies are significantly redefining the educational landscape. For Campus Saint-Jean, a French-language university, these transformations represent both unique challenges and opportunities, offering a chance to rethink teaching, learning and collaboration within our community.

Over the past three years, the CSJ has put in place a number of initiatives related to AI and digital transformations, such as forums, debates on pedagogical aspects in the digital age, and training workshops. The organisation of this conference is part of these initiatives, demonstrating the CSJ's commitment to fostering collaboration between francophone institutions in order to share knowledge, resources, and best practices in the field of AI. The CSJ is also planning to introduce a bilingual program in data science, a significant initiative that responds directly to the demands of today's digital transformations.

Generative artificial intelligence and its use are developing faster than our ability to modify our working methods and the policies that govern them. In this context, how can our institutions adapt their approaches to standards-setting? Bringing to the panel the perspective of a research-intensive institution, I will present how the ‘AI transition’ and its management need to link training (in research) and practice (of research). I will argue that these challenges for academic institutions can only be overcome by firmly anchoring them in institutional values and culture, which are more enduring. The notion of responsible research will serve as a thread running through the presentation.

Artificial intelligence (AI) and neurotechnologies are revolutionizing the medical field, and more specifically the neurosciences. During this conference, we will discover how brain-machine interfaces, which connect the brain to external devices, could transform the treatment of paralysis and improve the care pathway for people affected by spinal cord injuries.

Brain-machine interfaces refer to systems that enable direct communication between the brain and devices such as computers or prostheses. Neuroprostheses are part of these interfaces, but are specifically designed to restore or replace a lost neurological function, such as motor function. For example, some neuroprostheses use electrical signals to stimulate specific areas of the nervous system, thus helping to regain motor control after injuries to the nervous system.

These technologies are becoming increasingly efficient thanks to the integration of AI. Intelligent algorithms allow the devices to adapt in real time, adjusting the stimulation according to the patient's intentions and physiological needs, making their use more efficient and personalized.

However, despite these promising advances, a major challenge remains: that of transforming these technologies from research into clinical applications. What steps are needed to make these technologies accessible? How can these devices be integrated into daily care pathways? We will explore these questions and examine the obstacles encountered in the transition from laboratory research to clinical practice, while highlighting their potential in terms of rehabilitation and improving the quality of life of patients.

Marina Martinez is an associate professor in the Department of Neuroscience at the University of Montreal and a regular researcher at the Research Center of the Sacré-Cœur Hospital in Montreal. She obtained a bachelor's degree in psychology from the University of Nantes, followed by a master's degree and a doctorate in neuroscience from the University of Aix-Marseille. After a postdoctoral fellowship in the laboratory of Prof. Serge Rossignol at the University of Montreal, she set up her own laboratory in 2014, focusing on the neurobiological mechanisms of motor recovery after spinal cord injury. Her current research focuses on the development of neuroprostheses and rehabilitation protocols to improve locomotor control.

She is also co-founder and scientific director of NeuralDrive, a Canadian company specializing in the development of neurostimulation devices to restore movement after paralysis. Among her distinctions, Marina Martinez has received the Junior 1 and Junior 2 Researcher-Scholar grants from the Fonds de recherche du Québec - Santé. In 2022, she won the Étoiles Effervescence award, which recognizes young researchers who have distinguished themselves through their scientific contribution and their collaboration with the life sciences and health technologies industry.

This conference explores how AI transforms the scientific approach by significantly accelerating the discovery process, offering a cross-disciplinary vision of the transformative impact of AI. Indeed, in the face of the growing challenges of modern research - explosion in data volume, complexity of problems, high costs - AI is emerging as a revolutionary tool. Through concrete examples in various fields, we will demonstrate how AI increases scientific productivity by analyzing massive data and simulating complex systems.

We will examine significant innovations such as the autonomous generation and testing of hypotheses, and discuss how AI automates repetitive tasks, accelerates the analysis of scientific literature and optimizes experimental protocols.

The challenges of interpretability, robustness and causality will be addressed, as well as the implications for research policies and university education.

Loubna Benabbou is full professor of the research chair in artificial intelligence for supply chains in the management sciences department at the University of Quebec at Rimouski (UQAR) and associate professor in the computer science and operational research department at the University of Montreal. Her research interests fall within the general framework of the development and application of machine learning and operational research methods to aid data-based decision making. She is interested in the application of these methods in the fields of supply chain management, the digital transformation of organizations and the mitigation of climate change risks. Prof. Loubna Benabbou has participated in several research projects with industry and sits on scientific/technical committees for international journals and conferences. She has also published several articles in international scientific journals and indexed international conference proceedings. Prof. Benabbou is an industrial engineer from the Mohammadia School of Engineers and holds an MBA and a PhD in machine learning and decision sciences from Laval University.

It is well known that AI has made significant advances in various fields in recent years, including education, especially in areas such as computer science, mathematics and language learning. However, AI breakthroughs in the humanities and social sciences, as well as in related fields, remain timid. This conference presents a possible way for the integration of AI in a humanities course in the form of conversational agents (chatbots). It relates the journey made at York University from a more rudimentary version of a course chatbot based on the extraction of answers from a pre-established database, to a generative chatbot that creates ever new but related answers based on a certain context. The challenges and promises of these technologies in an educational context will be illustrated.

Donald Ipperciel is a full professor of humanities at York University. He has over 25 years of experience in academia as a professor, Canada Research Chair and academic administrator. He has been CIO of York University, Principal of Glendon College, co-dean, associate dean of technology and innovation and associate dean of research at the ���ϲ�����'s Saint-Jean Campus. Donald Ipperciel obtained a bachelor's and master's degree in philosophy from the University of Montreal, as well as a doctorate in philosophy from the Ruprecht-Karls-Universität in Heidelberg, Germany. He founded and chaired Oohoo IT Services, a spin-off company specializing in educational technology. In 2017, he was awarded the title of Chevalier dans l'Ordre des Palmes académiques by the French Republic. He has contributed to the dissemination of knowledge related to educational technology as editor of the Canadian Journal of Learning and Technology, as author of numerous scientific and general-public publications, and as a speaker in academic and professional contexts.

Can individuals influence the deployment of AI in society? Yes. This presentation will highlight opportunities specific to Canada and ���ϲ����� for technologists, researchers, strategists and civil society actors, so that they can see how to engage in issues of how AI is being implemented in society.

Participants will identify at least one concrete strategy for getting involved.

Director of the AULA Fellowship for AI | AI Workshops | CEO Tech | Researcher | Strategist | Ecologist | MBA | Mom | Guest Researcher at NTNU: DigiKULT

Specialising in SME management, ecological transitions, AI and robotics, business ethics, industrial production, and the management of social transformations.

Tammy Mackenzie is a researcher, technology CEO, public policy organiser, and mom. She is the Executive Director and a co-founder of The AULA Fellowship. An alumna of MIND, Vanier College, McGill University, Université Laval, and MILA's Artificial Intelligence Summer School, she is also a visiting scholar at the Centre for Science and Technology Studies (DigiKULT) at the Norwegian University of Science and Technology (NTNU). Tammy holds an MBA with a specialisation in SMEs, technology, and sustainability. Tammy is currently completing her Doctor of Philosophy (D.Phil.) on the dynamics of our social systems.

When generative artificial intelligence first appeared, it seemed ready to transform the world overnight. Industries panicked, fearing job losses and massive disruption. Now, a few years later, the buzzwords are everywhere—but we have yet to see the promised increase in productivity or economic growth.

That said, AI is having a real impact in unexpected areas. Dr. Aria Hahn will explain how AI is integrated into concrete products, including in surprising sectors such as subsidies and tax credits. Although AI does not automatically write applications, it plays a vital role in ensuring that companies do not miss any funding opportunities and are fully prepared to take advantage of them.

Join us for a practical, data-driven look at how AI is helping Canada strengthen its position as a world leader in innovation and artificial intelligence.

Dr. Aria Hahn is an expert in metagenomics and bioinformatics, recognized for the application of high-performance data analysis to solve complex challenges in industry. Her first company, Koonkie, was founded thanks to her expertise in integrating various physical, chemical and biological parameters to optimize product development and process control. The company, now led by a talented team, continues to provide impactful solutions for decision-making based on complex data.

In March 2025, her second company, co-founded with Brianna Blaney, named Pocketed, was sold, and Dr. Hahn redirected her attention to continue developing Pocketed within a larger organization. At Pocketed, she is dedicated to helping companies navigate Canada's vast landscape of non-dilutive subsidies. Her strategic vision, combined with her deep data expertise, enables her to drive innovation and ensure that Pocketed's platform remains a powerful resource for companies seeking to grow and access crucial funding opportunities.

Dr. Aria Hahn began her academic career at the Faculté Saint-Jean, where she obtained a Bachelor's degree in Environmental and Conservation Sciences (bilingual) with a specialization in Land Restoration at the ���ϲ����� (2005–2009). She then pursued a master's degree in soil science at the ���ϲ����� (2009–2011), focusing on environmental and microbial interactions within soil ecosystems. Building on this foundation, she completed a PhD in microbiology at the University of British Columbia (2012–2016), where she specialized in high-performance data analysis applied to biological systems. Her interdisciplinary background has shaped her expertise in bioinformatics, metagenomics and data discovery.

An innovative AI tool that assists the professor in the creation of a university course within Moodle will be presented in this workshop. From the creation of course modules to the suggestion of relevant readings, from the development of quizzes to the writing of lecture notes, the course creation tool generates ideas that the professor can accept or reject and integrate into Moodle with a single click. The integration of AI into the teacher's tasks not only saves time and increases intellectual productivity, but also serves as an assistant in the design of university courses incorporating technology.