What AI Can Do Strengths and Limitations of Artificial Intelligence

The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza’s: Nobody knows the limit of AI. Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future. What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.

Contents Section 1 – Nature and Culture of the Algorithm Chapter 1 AI Ethics as a Form of Research Ethics Florian Richter Chapter 2 Going through the Challenges of Artificial Intelligence: Gray Eminences, Algocracy, Automated Unconsciousness Vania Baldi Chapter 3 AI, Ethics, and Coloniality: a Feminist Critique Paola Ricaurte and Mariel Zasso Chapter 4 A Cultural Vision of Algorithms: Agency, Practices, and Resistance in Latin America: Gabriela Elisa Sued Chapter 5 From Deepfake to Deeptruth: Towards a Technological Resignification with Social and Activist Uses Jacob Bañuelos and Mariángela Abbruzzese Chapter 6 The Neurocomputational Becoming of Intelligence: Philosophical Challenges Manuel Cebral-Loureda Section 2 – Knowledge Areas Facing AI Chapter 7 A Cluster Analysis of Academic Performance in Higher Education through Self-organizing Maps C.F. Rodríguez-Hernández, E. Kyndt and E. Cascallar. Chapter 8 Artificial Intelligence as a way to Improve Educational Practices O. Olmos-López, E.G. Rincon-Flores, J. Mena., O. Román and E. López-Camacho. Chapter 9 Using AI for Educational Research in Multimodal Learning Analytics L.F. Morán-Mirabal., J. Alvarado-Uribe and H.G. Ceballos. Chapter 10 Artificial Intelligence in Biomedical Research and Clinical Practice Alejandro Garcia-Gonzalez Chapter 11 The Dark Side of Smart Cities Hinojosa Hinojosa, K. and González-Cacho, T., Chapter 12 The Control of Violence Between the Machine and the Human Vivar Vera, J. and Díaz Estrada, F Chapter 13 Al in Music: Implications and Consequences of Technology Supporting Creativity Carolina Sacristán Ramírez, Flavio Everardo, Yamil Burguete Fourzali and Brecht De Man Section 3 Future Scenarios and Implications for the Application of AI Chapter 14 Classification Machine Learning applications for Energy Management Systems in Distribution Systems to Diminish CO2 Emissions Juan R. Lopez, Pedro Ponce and Arturo Molina Chapter 15 Artificial Intelligence for Construction 4. 0: Changing the Paradigms of Construction Pedro Fonseca, Juan Pablo Solís, Juan Guadalupe Cristerna Villegas Chapter 16 A Novel Deep Learning Structure for Detecting Human Activity and Clothing Insulation Omar Mata, Diego L´opez, Adan Medina, Pedro Ponce Arturo Molina and Ricardo Ramirez Chapter 17 Building predictive models to efficiently generate new nanomaterials with antimicrobial activity. Gildardo Sánchez-Ante, Edgar R. López-Mena, and Diego E. Navarro-López Chapter 18 Neural Networks for an Automated Screening System to Detect Anomalies in Retina Images Gildardo Sanchez-Ante, Luis E. Falcon-Morales and Humberto Sossa-Azuela Chapter 19 Artificial Intelligence for Mental Health: A Review of AI Solutions and their Future Gerardo Castañeda Garza, Héctor Gibrán Ceballos Cancino and Paola Gabriel Mejía Almada Chapter 20 What AI can do for Neuroscience: Understanding How the Brain Represents Word Meanings Nora Aguirre-Celis and Risto Miikkulainen Chapter 21 Adversarial Robustness on Artificial Intelligence Ivan Reyes-Amezcua, Gilberto Ochoa Ruiz and Andres Mendez-Vazquez

Manuel Cebral-Loureda is a full-time professor and researcher at the Tecnológico de Monterrey, School of Humanities and Education, Campus Monterrey. He holds a PhD in Philosophy (University of Santiago de Compostela), with the thesis "The cybernetic revolution from the philosophy of Gilles Deleuze: a critical review of data mining and Big Data tools", and has a master's degree in Statistical Learning and Data Mining (UNED), as well as another in Art, Philosophy and Creativity (University of Valencia). His current interests focus on Digital Humanities (applying computational tools and methods to humanistic studies), the critical reflection on technology, and Posthumanism. Some of his most recent articles include "The beginnings of the COVID19 pandemic on Twitter. Computational analysis of public conversation in the Spanish language" (2021) or "Will and desire in modern philosophy: a computational approach" (2020). Since 2021, he is a member of the Mexican National System of Researchers (SNI).