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New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

The DITTET 2022 Collection

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Daniel H. de la Iglesia

    1. Facultad de Informática, Universidad Pontificia de Salamanca, Salamanca, Spain

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  2. Juan F. de Paz Santana

    1. Faculty of Science, University of Salamanca, Salamanca, Spain

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  3. Alfonso J. López Rivero

    1. Facultad de Informática, Universidad Pontificia de Salamanca, Salamanca, Spain

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  • Includes recent research on Disruptive Technologies, Tech Ethics, and Artificial Intelligence
  • Covers proceedings of 2nd Int. Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1430)

Included in the following conference series:

Conference proceedings info: DiTTEt 2022.

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Table of contents (34 papers)

  1. Front Matter

    Pages i-xviii
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  2. Track on Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. Deep Learning Based Approaches for Vehicle Make and Model Recognition

      • Shridhar B. Devamane, Trupthi Rao
      Pages 3-17

    3. Comparing Machine Learning vs. Humans for Dietary Assessment

      • Maryam Abbasi, Cristina Wanzeller, Filipe Cardoso, Pedro Martins
      Pages 18-29

    4. Drawing Music: Using Neural Networks to Compose Descriptive Music from Illustrations

      • Lucía Martín-Gómez, Javier Pérez-Marcos, Alfonso José López Rivero, Giovanny Mauricio Tarazona Bermúdez
      Pages 30-42

    5. A Method to Identify Graphs Containing a Specific Sub-graph

      • Tomoya Hikita, Masaomi Kimura
      Pages 43-54

    6. An Advertising Real-Time Intelligent and Scalable Framework for Profiling Customers’ Emotions

      • Leandro Alves, Pedro Oliveira, João Henriques, Marco V. Bernardo, Cristina Wanzeller, Filipe Caldeira
      Pages 55-68

    7. An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces

      • Carolina Ferreira, Luciano Correia, Manuel Lopes, João Henriques, Pedro Martins, Cristina Wanzeller et al.
      Pages 69-78

    8. Exploring Feature Extraction to Vulnerability Prediction Problem

      • Vitor Antonio Apolinário, Guilherme Dal Bianco, Denio Duarte, Valderi Reis Quietinho Leithardt
      Pages 79-90

    9. A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model

      • Diego M. Jiménez-Bravo, Álvaro Lozano Murciego, Javier Bajo, Daniel H. De La Iglesia, Cristian Pinzón
      Pages 91-102

    10. European Union Fosters Ethical AI in the Public Administration

      • António da Costa Alexandre, Luís Moniz Pereira
      Pages 103-113

    11. Auto-Tagger of Contextual Activity Tags for Music Tracks

      • Alvaro Lozano Murciego, Diego M. Jiménez-Bravo, André Sales Mendes, Vivian F. López Baptista, Maria N. Moreno-García
      Pages 114-121

    12. Object Detection Through Computer Vision

      • Denis Pato Martínez, Vivian F. López-Batista, Juan Francisco de Paz Santana, María N. Moreno-García, Francisco García
      Pages 122-130

    13. Bias Analysis on Twitter

      • Jaime Alba-Cepero, Miguel Cabezas-Puerto, Vivian F. López-Batista, Ángeles M. Moreno-Montero
      Pages 131-142

    14. Towards the Detection of Hateful Sentiment in Social Networks

      • S. García González, Ana-Belén Gil-González, V. F. López-Batista
      Pages 143-155

    15. MusicFactory: Application of a Convolutional Neural Network for the Generation of Soundscapes from Images

      • Juan José Navarro-Cáceres, André Sales Mendes, Hector Sánchez San Blas, Gabriel Villarrubia González, María Navarro-Cáceres
      Pages 156-164

  3. Track on Technological Ethics

    1. Front Matter

      Pages 165-165
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    2. Papal Teaching on the Ethical Challenges of Artificial Intelligence

      • Stuart Patrick Chalmers
      Pages 167-177

    3. The Role of the Right to Explanation and Its Safeguards in the Realization of Trustworthy AI

      • Orhan Gazi Yalcin
      Pages 178-187

    4. A Tool to Help Learning Programming

      • María-Luisa Pérez-Delgado, Jesús-Ángel Román-Gallego
      Pages 188-197
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  1. New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

Keywords

About this book

This book provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. Due to the important advances in technologies such as artificial intelligence, big data, the Internet of things, or bioinformatics produced in recent years, it is necessary to conduct a thorough review of current ethical patterns. One of the research fields that is in full expansion and with a broad future is technology ethics or tech ethics. Just a few years ago, this type of research was a small part, and they did not have too many technology researchers involved. At present, due to the explosion of new applications of artificial intelligence, their problems and their legal barriers have flourished innumerable initiatives, declarations, principles, guides, and analyses focused on measuring the social impact of these systems and on the development of a more ethical technology. It is, therefore, a problem that needs to be addressed from an academic and multidisciplinary point of view, where experts in ethics and behavior work together with experts in new and disruptive technologies.

The international conference “Disruptive Technologies Tech Ethics and Artificial Intelligence” (DITTET 2022) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It provides a unique opportunity to bring together experts in different fields, academics, and professionals to exchange their experience in the development and deployment of disruptive technologies, artificial intelligence, and their ethical problems.

Editors and Affiliations

  • Facultad de Informática, Universidad Pontificia de Salamanca, Salamanca, Spain

    Daniel H. de la Iglesia, Alfonso J. López Rivero

  • Faculty of Science, University of Salamanca, Salamanca, Spain

    Juan F. de Paz Santana

Bibliographic Information

  • Book Title: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

  • Book Subtitle: The DITTET 2022 Collection

  • Editors: Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. López Rivero

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-031-14859-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-14858-3Published: 28 August 2022

  • eBook ISBN: 978-3-031-14859-0Published: 27 August 2022

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVIII, 362

  • Number of Illustrations: 24 b/w illustrations, 148 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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