Guillermo and Michèle de la Dehesa Library has recently expanded its Artificial Intelligence (AI) collection with a range of new titles that reflect the fast-growing academic and professional interest in this field. The updated selection offers both technical depth and broader interdisciplinary perspectives, supporting teaching and research across multiple programs at IE University.

The new additions cover different thematic angles that are shaping today’s discussions around AI. Some of the books focus on technical and methodological foundations, such as interpretability and uncertainty in machine learning models, offering practical insights into how advanced AI systems operate. Others address ethical and societal questions, examining how predictive technologies influence trust, agency, and human behaviour. A third group explores the interaction between AI and law, providing frameworks to understand how legal systems respond to algorithmic decision-making and digital transformation.

Examples from these thematic areas include:
Technical and Methodological Approaches

• Interpretable Machine Learning (Molnar, 2022): a practical guide to understanding how complex models make decisions.
• Introduction to Conformal Prediction with Python (Molnar, 2023): an introduction to methods used to quantify uncertainty in machine-learning models.

Ethics and Society

• In AI We Trust (Nowotny, 2024): a critical examination of the promises and limitations of predictive algorithms.
• The AI Mirror (Vallor, 2024): a reflection on how AI technologies shape human identity and behaviour.

AI, Law, and Governance

• Is Law Computable? (Deakin, Markou & Pasquale, 2020): an exploration of how legal reasoning engages with algorithmic systems.
• Law for Computer Scientists and Other Folk (Hildebrandt, 2020): an accessible introduction to legal concepts relevant for digital technologies and AI.

These new additions enrich the library’s resources and provide the IE University community with updated materials to better understand the opportunities and challenges of artificial intelligence.

🔗 Explore the full list here.