EditorsContributorsSection I Nature and Culture of the Algorithm1. AI Ethics as a Form of Research Ethics2. Going through the Challenges of Artificial Intelligence: Gray Eminences, Algocracy, Automated Unconsciousness3. AI, Ethics, and Coloniality: A Feminist Critique4. A Cultural Vision of Algorithms: Agency, Practices, and Resistance in Latin America5. From Deepfake to Deeptruth: Toward a Technological Resignification with Social and Activist Uses6. The Neurocomputational Becoming of Intelligence: Philosophical ChallengesSection II Knowledge Areas Facing AI7. A Cluster Analysis of Academic Performance in Higher Education through Self-Organizing Maps8. Artificial Intelligence as a Way to Improve Educational Practices9. Using AI for Educational Research in Multimodal Learning Analytics10. Artificial Intelligence in Biomedical Research and Clinical Practice11. The Dark Side of Smart Cities12. The Control of Violence between the Machine and the Human13. Al in Music: Implications and Consequences of Technology Supporting CreativitySection III Future Scenarios and Implications for the Application of AI14. Classification Machine Learning Applications for Energy Management Systems in Distribution Systems to Diminish CO2 Emissions15. Artificial Intelligence for Construction 4.0: Changing the Paradigms of Construction16. A Novel Deep Learning Structure for Detecting Human Activity and Clothing Insulation17. Building Predictive Models to Efficiently Generate New Nanomaterials with Antimicrobial Activity18. Neural Networks for an Automated Screening System to Detect Anomalies in Retina Images19. Artificial Intelligence for Mental Health: A Review of AI Solutions and Their Future20. What AI Can Do for Neuroscience: Understanding How the Brain Represents Word Meanings21. Adversarial Robustness on Artificial IntelligenceIndex