About Mounina Tounkara
Mounina Tounkara is a doctoral researcher in Information and Communication Sciences (ICS) at the Université Polytechnique Hauts-de-France (DeVisu Laboratory, LARSH). Her research examines how algorithmic systems reshape organisational communication, knowledge production, and the distribution of power within digital environments. She brings a distinctive analytical lens to these questions, combining critical epistemology with Ubuntu ethics – the African philosophical principle that a person is a person through other persons – as a rigorous framework for evaluating relational, ethical, and communicational dimensions of AI-mediated interactions.
Research Focus
Her doctoral work sits at the intersection of AI governance, organisational discourse, and critical epistemology. Drawing on Foucault’s power/knowledge dynamics, Castells’ network theory, and Nonaka & Takeuchi’s tacit knowledge frameworks, she investigates how AI transforms the structure of knowledge detention and circulation in organisations. Her recent article, When GenAI Meets Ubuntu: Road-Testing Qualitative Interviewing with LLMs, introduces two original frameworks – STARA (a structured prompt model) and STRING (a post-interaction analytical tool) – for assessing GenAI-assisted communication through an Ubuntu ethical lens.
Professional Background
Before her doctoral research, Mounina built over 15 years of experience in IT project environments, working across organisational transformation, digital strategy, and project management. This practitioner background directly informs her research: she studies the tensions she has witnessed firsthand between technological rationalisation and the relational fabric of organisations. She is a TED speaker, having presented on the systemic dynamics of racism, and an active contributor to the PMI community.
This Platform
Algorithmic Communication brings together research, reflections, and publications on the governance and ethical implications of AI-driven communication. It serves as a bridge between academic inquiry and the practical realities of digital transformation – for researchers, project professionals, and anyone concerned with the human implications of algorithmic systems.
Information structures the constraints. Communication is what allows us to negotiate them.