International conference exploring the conditions under which AI can improve the quality of economic, organizational and public decision-making without weakening responsibility, equity, sustainability and legitimacy.
Artificial intelligence now occupies a central place in economic decision-making processes. Initially used to automate repetitive tasks, it is now involved in strategic functions such as forecasting, resource allocation and risk assessment.
Beyond its rapid diffusion, AI is profoundly transforming decision-making practices. It redefines the relationship between human judgment and algorithmic calculation, sometimes implicitly shifting frameworks of responsibility.
While these technologies strengthen processing and prediction capacities, they also introduce tensions such as model opacity, persistent biases, interpretability difficulties and growing questions regarding the legitimacy of the decisions produced.
"Under what conditions does the integration of artificial intelligence improve the quality of economic, organizational and public decision-making without weakening the requirements of responsibility, equity, sustainability and legitimacy?" — Central question of AIDEG 2026
Proposals may fall within one of the following themes (indicative and non-exhaustive list)
Transformations of decision mechanisms in public and private organizations: decision support, forecasting, targeting, evaluation, strategic steering and data governance.
Uses of AI in resource management, energy efficiency and environmental impact monitoring: contributions, energy consumption, carbon footprint and risks.
Effects of AI on value chains: automation, transformation of activities, new technological dependencies and recomposition of competitive advantages.
Effects of AI on employment, skills and work organization: substitution or complementarity, transformation of occupations and labor market impacts.
Effects on the distribution of opportunities, income and skills: differentiated access to technologies, labor polarization and digital divide.
Uses of AI in the design, implementation and evaluation of public policies: targeting, resource allocation, transparency and democratic control.
Effects on pedagogical practices, learning systems and skills: personalization, evaluation, transformation of teachers' roles and inequality issues.
Uses in recruitment, evaluation and career management: effects on autonomy, surveillance, algorithmic biases and power relations.
Applications in finance: forecasting, portfolio management, rating, and implications for market efficiency, stability and regulation.
Transformations of marketing and consumer behavior: segmentation, personalization, pricing, customer relations and trust issues.
Transparency, responsibility, data protection, auditability and supervision of AI systems, and institutional governance frameworks.
Official opening of abstract submissions for AIDEG 2026.
900–1,200 word proposals. Both email and online form are mandatory.
Authors notified of the Scientific Committee's decision on their proposals.
Final papers (max 8,000 words) submitted in Word format to the conference email.
Notification of final paper acceptance and publication of the full conference programme.
Plenary lectures, paper sessions, workshops. Université Chouaïb Doukkali, El Jadida, Morocco.
Both steps are mandatory:
The call for papers is open. Submit your proposal before June 30, 2026.
Submit via Online Form → 📧 iadeg2026.ucd@gmail.com 📥 Download Call for Papers (PDF)Faculté des Sciences Juridiques, Économiques et Sociales
Université Chouaïb Doukkali
El Jadida, Morocco
Distinguished experts and practitioners at the intersection of AI, economics and governance