The first edition of the International Congress on Artificial Intelligence and Human Sciences will be organized by the Laboratory of Science, Engineering and Management (ESTF), the Laboratory of Engineering, Systems and Applications (ENSAF), in collaboration with the School of Advanced Studies in Accounting and Finance (HECF), from October 17 to October 18, 2025. This event marks a major turning point in the interdisciplinary dialogue between technology and the humanities.

This major scientific event will be held in honor of Professor Ahmed BOUKLATA, a renowned expert in economic and management sciences, whose work has significantly influenced research in applied economics, strategic management, and public policy analysis. This congress will serve both as a tribute to a visionary scholar and as a springboard for future generations wishing to carry on his scientific and intellectual legacy.

This unprecedented event will bring together researchers, professionals, thinkers, and innovators to explore the deep interactions between Artificial Intelligence (AI) and human sciences disciplines such as economic and management sciences, philosophy, sociology, psychology, linguistics, anthropology, and history. Through keynote speeches, roundtables, thematic workshops, and scientific presentations, the congress will offer a critical and forward-looking reflection on the impacts of AI on thought, culture, labor, ethics, human identity, and social dynamics.

This is a space for dialogue and inquiry, aimed at shedding light on the contemporary and future challenges linked to the development of AI from a deeply human perspective. This congress inaugurates a lasting platform for dialogue between the hard sciences and the humanities—essential for co-constructing a responsible, inclusive, and ethical technological future.

Topics:

1. AI, Economics and Management Sciences: New Decision-Making Paradigms

- Use of AI in strategic decision-making, risk management, and predictive analysis

- Transformation of economic, financial, and governance models through intelligent technologies

- AI and managerial innovation: toward responsible automation of organizational processes

2. Ethics and Governance of Artificial Intelligence

- Moral and legal regulation of intelligent technologies

- AI, privacy, and surveillance

3. AI and the Transformation of Knowledge

- Impacts of AI on research in the human sciences

- New methods of data production and analysis

4. Language, Culture, and Artificial Intelligence

- Natural language processing and cultural challenges

- AI and linguistic diversity

5. Subjectivity, Identity, and AI

- The relationship between artificial intelligence, consciousness, and human subjectivity

- AI and identity construction (gender, culture, belonging)

6. Education, Cognition, and Machine Learning

- The use of AI in pedagogical practices

- Comparison between human and machine learning

7. Hybrid Methodologies

- Cross-disciplinary approaches between human sciences, data science, and computer science

- Digital humanities and AI

8. Social Justice and Inclusion in the Age of AI

- Algorithmic bias and discrimination

- Challenges of accessibility and equity in technological development

9. Philosophy of Intelligence

- Nature, definition, and boundaries of human and artificial intelligence

- Intelligence, rationality, and emotions