New trends in disruptive technologies, tech ethics and artificial intelligence : the DITTET collection / Juan F. de Paz Santana, Daniel H. de la Iglesia, Alfonso José López Rivero, editors.
DITTET (Conference) (2021); Paz Santana, Juan F. de, editor.; Iglesia, Daniel H. de la, editor.; López Rivero, Alfonso José, editor.
2022
Q334 .D58 2021
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title New trends in disruptive technologies, tech ethics and artificial intelligence : the DITTET collection / Juan F. de Paz Santana, Daniel H. de la Iglesia, Alfonso José López Rivero, editors.
Meeting Name DITTET (Conference) (2021)
ISBN 9783030876876 (electronic bk.)
303087687X (electronic bk.)
9783030876869
3030876861
DOI https://doi.org/10.1007/978-3-030-87687-6
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color)
Item Number 10.1007/978-3-030-87687-6 doi
Call Number Q334 .D58 2021
Dewey Decimal Classification 006.3
Summary This book includes recent research on disruptive technologies, tech ethics, and artificial intelligence. 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 2021) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It also provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. 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. DiTTEt intends to bring together researchers and developers from industry, humanities and academia to report on the latest scientific advances and the application of artificial intelligence as well as its ethical implications in fields as diverse as climate change, politics, economy or security in today's world. This book constitutes the refereed proceedings selected by an expert panel through a peer-review process. All these works will be presented by the experts in the different sessions organized at the DITTET congress to be held at the Pontifical University of Salamanca (Salamanca, Spain) on September 15, 26 and 17, 2021.
Note International conference proceedings.
Includes index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 12, 2021).
Added Author Paz Santana, Juan F. de, editor.
Iglesia, Daniel H. de la, editor.
López Rivero, Alfonso José, editor.
Series Advances in intelligent systems and computing ; 1410. 2194-5365
Available in Other Form Print version: 9783030876869
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Track on Artificial Intelligence
An overview on cloud services for Human tracking
A new algorithm to generate image sets for classification and forecasting problems
Deep learning Based Human to Human Interaction Detection using Wireless Fidelity
Estimating Time Lost on Semaphores with Deep Learning
One-vs.-One Mitigation of Intersectional Bias: A General Method for Extending Fairness-Aware Binary Classification
An Analysis of One-Shot Augmented Learning: a Face Recognition Case Study
Emotional intelligence in robotics: a scoping review
Residual Networks for Image Clustering
Opinion Mining for Curriculum Enrichment using Self-organizing Maps
Intelligent agent for roadway data analysis
Multiagent System for the Prediction of Road Maintenance Actions
Track on Technological Ethics
Ethics, transparency, fairness and the responsibility of Artificial Intelligence
The Ten Commandments for Responsible Augmented Reality
The Ethics of Disruptive Technologies: Towards a General Framework
Normative Affordances Through Technology: A Postphenomenological PerspectiveTourism code of ethics in tourism recomendaton systems
GDPR Compliant Data Processing and Privacy Preserving Technologies: A Literature Review on Notable Horizon 2020 Projects
Digital Statelessness: The Gap between Technological Advancement and the Full Guarantee of Human Rights
Shall Regulators Introduce Special Rules for Robo Advising Services?
Proposal for the development of Social Responsibility and Professional Ethics in the Computer Engineering curriculum
Ethical Considerations for the Development of Intelligent Apps in Healthcare
Business Benefits of Instagram Scrapping: Questionable Uses of Data
Track on Disruptive Technologies
NoSQL: a real use case
Cisco NFV on Red Hat OpenStack Platform
Comparative Analysis of Process Mining Algorithms in Process Discover
Smart sock and resistivity measurement in textile materials
Artificial Intelligence for the Construction Industry
a Statistical Descriptive Analysis of Drivers and Barriers
Group Recommender Systems in the music domain: A Systematic Literature Review
LoRaWAN applied to Agriculture: A use case for automated irrigation systems
SCIFI-II: An event mesh solution based on CloudEvents for IoT systems
Determination of support systems to improve the accuracy of GNSS surveys in urban areas of the city of Bogota
Colombia.
Track on Doctoral Consortium
Mobile 4G Network: Signal Power and Quality vs Bandwidth Throughput
A platform for e-learning of traditionalthree-hole wind instruments.
Virtual Reality and its influence in people emotions
Automatic system for the management of parking in cities
CardioSafe: A platform for remote rehabilitation for patients with cardiological problems
Blockchain technology for rural property registration.

Browse Subjects

Show more subjects...

Statistics

from
to
Export