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 Marie-Aude Aufaure

“Marie Aude Aufaure transforms AI into strategic decisions—measurable, explainable, and compliant.”

Marie-Aude Aufaure

Speaker · Consultant
Marie-Aude Aufaure is a doctor in computer science, an AI/big data expert, and a former professor at Supélec. She led the industrial chair of SAP Business Intelligence at CentraleSupélec before founding DATARVEST to support organizations on concrete data/AI projects. She acts as a bridge between research and business: AI governance, framing use cases, maturity methodologies, training decision-makers. She was a board member of Hub France IA and is an independent expert with the European Commission, promoting useful, explainable, and responsible AI for sustainable performance.

Marie-Aude Aufaure

Marie-Aude Aufaure is a recognized expert in artificial intelligence, big data, and digital transformation. She holds a PhD in computer science from the University of Paris VI and is authorized to supervise research. She started her career in the industry before joining several leading academic institutions. Notably, she was a research associate at INRIA from 2001 to 2014 and a professor at Centrale Supélec.

In 2008, she took over the industrial chair SAP in Business Intelligence at the Laboratory of Applied Mathematics to Systems at Centrale Supélec. For six years, she led ambitious research and training projects that helped position the school as a European center of excellence in decision systems and data valorization.

Building on this academic experience, she founded DATARVEST in 2016, labeled as a Young Innovative Company. Her ambition is to leverage the most advanced research to help organizations intelligently exploit large volumes of data. She develops innovative algorithms, advises on data and AI strategies, and trains companies in mastering these technologies.

A passionate speaker, Marie-Aude Aufaure is committed to supporting leaders, managers, and employees in understanding the challenges related to artificial intelligence. Her interventions aim to demystify complex concepts, illuminate opportunities and risks, and equip decision-makers to make informed strategic choices.

Engaged in ecosystem governance, she has served on the board of the Hub France IA. There, she facilitated and participated in working groups on the impact of AI in human resources, on generative AI, and participated in national surveys to measure the transformation of professions. She is also an independent expert for the European Commission, in the unit responsible for the "Data Value Chain." She is a member of the think tank La villa Numeris for which she wrote a "plea for a positive impact AI" published in March 2024. She presented this plea at the No AI Without Women conference at the Élysée in December 2024, an event labeled AI Action Summit Paris.

Through her scientific publications, her collective works with Springer, her teachings at CentraleSupélec, and her numerous conferences, she embodies a bridge between the academic world and the corporate world. Her approach, both rigorous and accessible, makes her an essential voice for understanding, anticipating, and governing AI in all its dimensions. Her dual experience in academia and industry allows her to combine scientific rigor with a pragmatic vision, based on concrete examples that make her interventions educational. Drawing on all these experiences, thanks to her research rigor, teaching pedagogy, and entrepreneurial pragmatism, she guides companies across all sectors in their technology transformation process, raising awareness of AI, and adopting AI to envision the technological evolution and human landscape of tomorrow in business.

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What challenges and opportunities for artificial intelligence?

Artificial intelligence is no longer a distant promise: it is already at the heart of our personal and professional lives. In this conference, Marie-Aude Aufaure provides a clear overview of the concrete uses of AI in various sectors: industry, finance, health, public services.

  • She presents the measurable benefits of AI: process automation, quality improvement, trend anticipation, and the creation of new services. But she also emphasizes the limits and precautions to take: dependency on data, biases, and the opacity of models. This intervention gives participants the keys to assess the AI maturity of their own organization. Marie-Aude Aufaure proposes a practical framework that allows asking the right questions to providers, identifying priority projects, and distinguishing truly suitable solutions.

· In conclusion, this conference invites participants to move beyond clichés to enter into a pragmatic approach to AI: neither fear nor fascination, but a balanced view of its risks and opportunities.

Towards responsible artificial intelligence

· At a time when algorithms influence the most sensitive decisions, the issue of ethics and accountability becomes crucial. This conference explores the principles of trustworthy AI: transparency, explainability, fairness, robustness, and compliance with regulations.

· Marie-Aude Aufaure presents ongoing European frameworks (AI Act, GDPR, Digital Services Act) and recommendations from international working groups. She illustrates her points with concrete examples of algorithmic bias and observed drift in various sectors.

· The goal is to equip leaders to integrate ethical safeguards from the design of their AI projects. The speaker offers a framework for ethical maturity and practical tools to assess, document, and govern AI systems.

· This intervention allows organizations to build a strategy where innovation and responsibility advance together, ensuring sustainable and accepted adoption of AI.

· Human resources are at the forefront of the AI revolution. This conference analyzes the impact of these technologies on jobs, skills, processes, and management styles.

· Marie-Aude Aufaure highlights the opportunities available: automation of repetitive tasks, decision support in recruitment, and personalization of training paths. But she also details the risks: loss of meaning, increased surveillance, and new discriminatory biases.

· Drawing on surveys conducted with the Hub France IA, she shares unprecedented data on employee perceptions and the conditions for successful adoption. She emphasizes the importance of continuous training and change management support.

· This conference provides HR directors and managers with a strategic and human vision: how to transform the HR function into a major player in innovation while preserving trust and the value of work.

Generative AI: Transforming Jobs and Organizations

· Generative models (ChatGPT, DALL·E, etc.) are disrupting practices across all sectors. Marie-Aude Aufaure decodes their functioning, usage, and concrete impacts on organizations.

· She illustrates how these tools accelerate the production of content, translation, prototyping, but also how they redefine roles and skills. She warns about the risks related to cognitive dependence and the quality of results.

· This conference offers a clear typology of jobs exposed to, transformed by, or enriched by generative AI. It addresses the challenges of governance, training, and adaptation of organizations.

· In conclusion, she invites a clear-sighted and proactive appropriation of generative AI: not to suffer it, but to make it a lever of innovation and competitiveness.

Digital sovereignty: taking back control of data and algorithms

· Facing the dominance of large global platforms, digital sovereignty is becoming a major strategic issue for businesses and states. This conference offers an illuminating look at the current dependencies and ways to address them.

· Marie-Aude Aufaure analyzes the risks associated with the concentration of data and infrastructures: loss of control, legal vulnerabilities, innovation asymmetries. She presents the European initiatives such as GAIA-X, the Data Governance Act, and the AI Act.

· She highlights the levers of action accessible to organizations: adoption of open standards, pooling of resources, development of local solutions, training of talents.

· This intervention calls for a collective mobilization to build a resilient digital ecosystem, respectful of our values and capable of real strategic autonomy.

Intervention Marie-Aude Aufaure

Clear overview of AI uses by sector (industry, finance, health, public service) with expected gains: automation, quality, anticipation. Marie-Aude Aufaure also details the limits (data dependence, bias, opacity) and proposes a maturity framework to assess projects. We leave with concrete criteria for arbitration: business value, available data, risks, and ROI indicators.

Intervention Marie-Aude Aufaure

Generative AI Focus: how these models transform occupations (content, support, prototyping) and what skills to develop. It outlines the guardrails (explainability, quality, intellectual property, GDPR/AI Act) and a governance framework for scalable deployment. The conclusion offers a roadmap: fast pilots, targeted training, impact assessment, and ethical review committees.