Tabla de Contenidos: “…/ Esther López Barrero -- El levantamiento del velo digital frente a las responsabilidades laborales derivadas del trabajo en plataformas de internet / Eugenio Lanzadera Arencibia -- La inteligencia artificial y el derecho: pasado, presente y future / María Aurora Martínez Rey, Juan Pazos Sierra…”

“…Recent Trends in Artificial Neural Networks…”

Materias: “…Artificial intelligence…”

Tabla de Contenidos: “…An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence -- 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications -- 3. …”

Materias: “…Artificial intelligence Social aspects…”

Materias: “…Artificial intelligence Social aspects…”

Materias: “…Artificial intelligence Periodicals…”

Materias: “…Inteligencia artificial…”

Materias:

Materias:

Materias: “…Artificial intelligence…”

Tabla de Contenidos: “…Artificial Intelligence - key technologies and opportunities / Wolfram Burgard -- Automating supervision of AI delegates / Jaan Tallinn and Richard Ngo -- Artificial moral agents - conceptual issues and ethical controversy / Catrin Misselhorn -- Risk imposition by artificial agents - the moral proxy problem / Johanna Thoma -- Artificial Intelligence and its integration into the human lifeworld / Christoph Durt -- Artificial Intelligence and the past, present and future of democracy / Mathias Risse -- The new regulation of the European Union on Artificial Intelligence - fuzzy ethics diffuse into domestic law and sideline international law / Thomas Burri -- Fostering the common good - an adaptive approach regulating high-risk AI-driven products and services / Thorsten Schmidt and Silja Voeneky -- China's normative systems for responsible AI - from soft law to hard law / Weixing Shen and Yun Liu -- Towards a global Artificial Intelligence Charter / Thomas Metzinger -- Intellectual debt - with great power comes great ignorance / Jonathan Zittrain -- Liability for Artificial Intelligence - the need to address both safety risks and fundamental rights risks / Christiane Wendehorst -- Forward to the past - a critical evaluation of the European approach to Artificial Intelligence in Private International Law / Jan von Hein -- Differences that make a difference -- computational profiling and fairness to individuals / Wilfried Hinsch -- Discriminatory AI and the law - legal standards for algorithmic profiling / Antje von Ungern-Sternberg -- Artificial Intelligence and the Right to Data Protection / Ralf Poscher -- Artificial Intelligence as a challenge for Data Protection Law - And Vice Versa / Boris Paal -- Data governance and trust - lessons from South Korean experiences coping with COVID-19 / Haksoo Ko, Sangchul Park and Yong Lim -- From corporate governance to algorithm governance - Artificial Intelligence as a challenge for corporations and their executives / Jan Lieder -- Autonomization and antitrust - on the construal of the cartel prohibition the light of algorithmic collusion / Stefan Thomas -- Artificial Intelligence in financial services - new risks and the need for more regulation? …”

Tabla de Contenidos: “…Frontmatter -- Editorial -- Contents -- Preface -- Learning Algorithms -- Transgressing the Boundaries -- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving -- Limits and Prospects of Big Data and Small Data Approaches in AI Applications -- Artificial Intelligence and/as Risk -- When You Can’t Have What You Want -- Man-Machines -- Trends in Explainable Artificial Intelligence for Non-Experts -- Machine Dreaming -- Let’s Fool That Stupid AI -- Authors…”

Materias: “…Intel·ligència artificial…”

Materias:

Tabla de Contenidos: “…Front Cover -- Artificial Intelligence in Healthcare and COVID-19 -- Copyright Page -- Contents -- List of contributors -- Preface -- 1 Improvement of mental health of frontline healthcare workers during COVID-19 pandemic using artificial intelligence -- Other notes -- 1.1 Introduction -- 1.2 Background -- 1.3 Main content -- 1.4 Methodologies and implementation -- 1.5 Discussion -- 1.5.1 Connection to artificial intelligence -- 1.5.2 Strengths -- 1.5.3 Weaknesses -- 1.6 Conclusion -- References -- 2 Effective algorithms for solving statistical problems posed by COVID-19 pandemic -- 2.1 Introduction -- 2.2 Forecasting the epidemic curves of coronavirus -- 2.2.1 Forecasting models for the COVID-19 outbreak -- 2.3 Nonparametric tests used for forecasting models estimation -- 2.3.1 Nonparametric tests for homogeneity -- 2.3.2 Exact nonparametric test for homogeneity -- 2.4 Comparison of forecast models -- 2.5 Conclusion and scope for the future work -- References -- 3 Reconsideration of drug repurposing through artificial intelligence program for the treatment of the novel coronavirus -- 3.1 Introduction -- 3.2 Viral morphology -- 3.2.1 Structured proteins -- 3.2.1.1 Spike protein/spike membrane -- 3.2.1.2 Membranous proteins -- 3.2.1.3 Nucleic acid-protein/nucleocapsid -- 3.2.1.4 Enveloped protein -- 3.2.2 Nonstructured proteins -- 3.2.2.1 Proteases -- 3.2.2.2 RNA-dependent polymerase -- 3.2.2.3 Helicase -- 3.3 Virus lifecycle -- 3.3.1 Life process of severe acute respiratory syndrome 2 -- 3.3.1.1 Attachment and entry -- 3.3.1.2 Replication and transcription -- 3.3.1.3 Assembly and release -- 3.4 Currently available viral targeting drug candidates at various stages of life cycle -- 3.5 Different drug repurposing approaches -- 3.5.1 Target approach -- 3.5.2 Knowledge-dependent approach -- 3.5.3 Molecular docking-based approach…”