What AI Can Do

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, inter-disciplinary 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