Artificial Intelligence (AI) has emerged as a dominant axis of global scientific and technological development.
Driven by unprecedented advances in data processing, algorithmic design, and distributed computing infrastructures, AI is transforming virtually every field of human activity:
from economics and medicine to urban planning, education, cultural production, and the social sciences.
The Dakhla edition of AIATSI 2025 marks a turning point.
A Contextual and Strategic View of AI
Modern AI is not simply the outcome of isolated algorithmic progress—it is embedded in a complex ecosystem driven by:
- Global digital capitalism and the influence of technological giants (GAFAM, BATX),
- The convergence of disciplines: machine learning, mathematics, game theory, blockchain, and neuroscience,
- Ubiquitous infrastructures: cloud computing, mobile networks, IoT, smart urban systems, and satellite technologies.
- These converging forces raise both extraordinary opportunities and profound societal questions. AIATSI 2025 aims to position Morocco—and Africa more broadly—as proactive actors in the responsible and strategic development of AI technologies.
Scientific Objectives of the Conference
The Dakhla edition of AIATSI 2025 will structure discussions around the following core scientific and technological priorities:
Strand 1: Theoretical Foundations of Artificial Intelligence
Axis 2 will answer the question: "How to design and implement solutions based on artificial
intelligence to respond to industrial issues? ". It will be an opportunity to answer the following
sub-questions:
- What are the most promising toolkits and platforms for real-world AI deployment?
- How can AI be operationalized in sectors such as helthcare, logistics, agriculture, energy, and biotechnology?
- What scalable models exist for SMEs and regional industries to adopt AI solutions effectively?
Strand 2: Artificial Intelligence Tools and Applications
This strand focuses on the development, evaluation, and deployment of AI frameworks and tools across disciplines.
- What are the most promising toolkits and platforms for real-world AI deployment?
- How can AI be operationalized in sectors such as helthcare, logistics, agriculture, energy, and biotechnology?
- What scalable models exist for SMEs and regional industries to adopt AI solutions effectively?
Strand 3: Pattern Recognition and Machine Learning
This strand investigates the models and techniques used to identify structure, patterns, and trends in complex data.
- How are new architectures advancing image, speech, and text recognition?
- What innovations in supervised, unsupervised, and reinforcement learning are shaping the next generation of AI?
- How can machine learning be adapted to low-resource and high-variability contexts across Africa?
Strand 4: Smart City and Smart Systems Development
This strand examines the integration of AI into urban environments and complex infrastructures.
- How can intelligent systems support urban mobility, resource management, and citizen services?
- What role do AI-driven models play in enhancing smart city planning and resilience?
- How can sensor networks, IoT, and AI jointly address sustainability and governance challenges?
Strand 5: Large Language Models and Agentic AI
This strand explores the rapid rise of foundation models and their transformation into autonomous agents.
- What are the cognitive and computational limits of current LLMs, and how can they be extended?
- How can agentic AI systems interact meaningfully with their environments and human users?
- What are the applications and risks of generative AI in multilingual, multicultural African contexts?
Strand 6: Artificial Intelligence in Industry 4.0
This strand investigates how AI transforms value chains and industrial production systems.
- How can AI enhance decision-making, automation, and predictive analytics in manufacturing and logistics?
- What synergies exist between AI, game theory, and blockchain in industrial transactions?
- How can academic-industry partnerships accelerate innovation and adoption in African economies?
Strand 7: Ethics in Artificial Intelligence
This strand addresses the societal, legal, and philosophical dimensions of AI development and use.
- What ethical and regulatory frameworks are needed to ensure responsible AI across domains?
- How can we manage risks related to healthcare, surveillance, and algorithmic bias?
- How can we build public trust in AI by promoting transparency, explainability, and inclusive governance?
An African Vision for Global Impact
Beyond disciplinary research, AIATSI 2025 in Dakhla serves a broader strategic ambition:
- Reinforce South–South Cooperation through scientific diplomacy,
- Empower African Youth by building a continental AI talent pipeline,
- Promote Sovereign Technological Capacity through open research and ethical design.
With Dakhla as a symbolic and strategic location, the conference bridges the worlds of theory, application, and policy—positioning the Sahara as a scientific frontier for sustainable and inclusive innovation.
Key Components of the Program
- Keynote Lectures by international pioneers in AI and emerging technologies
- Workshops on Generative AI, Large Language Models, Intelligent Agents, and Smart Systems
- Doctoral Tracks & Hackathons designed to connect students, researchers, and industry mentors
- Panels addressing societal challenges, climate resilience, and digital sovereignty in Africa
- Networking Sessions linking Moroccan diaspora, international scholars, and industry innovators
Join Us in Dakhla
AIATSI 2025 is more than a conference—it is a scientific forum, a strategic initiative, and a celebration of African potential.
Your participation will help shape a new narrative for AI: one that is ethical, inclusive, and driven by knowledge, not just technology.
Prof. Jaouad DABOUNOU
AIRA Lab
Chair of the Conference
jaouad.dabounou@uhp.ac.ma
