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A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
Pedro A. Moreno-Sánchez, Javier Del Ser, Mark van Gils +1
Artificial Intelligence (AI) holds great promise for transforming healthcare, particularly in disease diagnosis, prognosis, and patient care. The increasing availability of digital…
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
Javier Del Ser, Jesus L. Lobo, Heimo Müller +1
World Models help Artificial Intelligence (AI) predict outcomes, reason about its environment, and guide decision-making. While widely used in reinforcement learning, they lack the…
Can transformative AI shape a new age for our civilization?: Navigating between speculation and reality
Jesus L. Lobo, Javier Del Ser
Artificial Intelligence is widely regarded as a transformative force with the potential to redefine numerous sectors of human civilization. While Artificial Intelligence has evolve…
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models
Alain Andres, Javier Del Ser
Exploration remains a significant challenge in reinforcement learning, especially in environments where extrinsic rewards are sparse or non-existent. The recent rise of foundation…
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
Unai Ruiz-Gonzalez, Alain Andres, Pedro G. Bascoy +1
Sparse reward environments in reinforcement learning (RL) pose significant challenges for exploration, often leading to inefficient or incomplete learning processes. To tackle this…