Plenary Talks

Iberamia 2026 Career Recognition Award talk

Constrained Decision-Making in the Age of Generative AI

Abstract. Recent advances in generative AI have transformed the way humans interact with machines. Large Language Models can write, explain, translate, converse and assist users in formulating complex tasks. However, many real-world AI problems are not only language problems: they are constrained decision-making problems, where solutions must satisfy hard constraints, optimize scarce resources, adapt to changing requirements and remain understandable to users.

This talk will use scheduling as a guiding example to discuss the limits and opportunities of LLMs in constrained decision-making. Scheduling is easy to describe but difficult to solve reliably: a schedule that looks reasonable may violate precedence constraints, resource capacities or operational requirements. This makes scheduling a useful lens through which to examine why LLMs should not be treated as reliable solvers, but rather as powerful interfaces for modelling, interaction, explanation and recourse.

The talk will argue that the future of reliable AI lies in hybrid architectures that combine LLMs, constraint-based solvers, machine learning models, graph neural networks, verification mechanisms and explanation layers. In this vision, LLMs help users express intentions and understand results, solvers preserve feasibility, learning models guide the search, checkers verify correctness, and explanations support trust and decision-making. The talk will also reflect on the role of the Ibero-American AI community in developing AI systems that are not only fluent, but verifiable, useful and responsible.

Short Bio: Miguel Angel Salido Gregorio is Full Professor at the Universitat Politècnica de València, Spain. His research focuses on Artificial Intelligence, constraint satisfaction and optimization, planning, scheduling, metaheuristics, intelligent manufacturing systems, energy efficiency and sustainability, with current interests in sustainable scheduling, learning-guided search, explainable optimization and hybrid AI systems for reliable decision-making under constraints.

He has participated in numerous national and international research projects and networks, including European, national and regional projects, and has also been involved in knowledge-transfer projects with the productive sector. His scientific production includes more than 180 research publications, with more than 80 indexed in quality-ranked venues such as JCR journals and CORE conferences, as well as books and book chapters published by international publishers.

He has served on the programme committees of major Artificial Intelligence conferences, including IJCAI, AAAI, ECAI, ICAPS and CP-DP. He has also contributed to research evaluation activities for several national and international agencies, including the European Commission, ANEP, the Czech Science Foundation and FONDECYT.

He is currently Editor-in-Chief of Inteligencia Artificial, the Iberoamerican Journal of Artificial Intelligence, an international open-access journal promoted and sponsored by the Iberoamerican Society of Artificial Intelligence (IBERAMIA).

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Artificial Intelligence for Child Protection / Inteligencia Artificial para la Protección de Menores

Abstract. To be defined

Short Bio: To be included

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