Buch, Englisch, 227 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 365 g
Reihe: Digital Ethics Lab Yearbook
Buch, Englisch, 227 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 365 g
Reihe: Digital Ethics Lab Yearbook
ISBN: 978-3-030-80085-7
Verlag: Springer International Publishing
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field.
The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik
- Technische Wissenschaften Technik Allgemein Philosophie der Technik
- Technische Wissenschaften Technik Allgemein Technologie: Soziale & Ethische Aspekte
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Geisteswissenschaften Philosophie Moderne Philosophische Disziplinen Philosophie der Technik
Weitere Infos & Material
Introduction.- Are The Dead Taking Over Instagram? A Follow-up To Öhman & Watson (2019).- Emotional Self-Awareness as a Digital Literacy.- The Marionette Question – What is yet to be answered about the ethics of online behaviour change?.- On the limits of design: What are the conceptual constraints on designing artificial intelligence for social good?.- AI and its new winter: from myths to realities.- The Governance of AI and its Legal Context-dependency.- How to design a governable digital health ecosystem.- Ethical Guidelines for SARS-CoV-2 Digital Tracking and Tracing Systems.- On The Risks of Trusting Artificial Intelligence: The Case of Cybersecurity.- The Explanation Game: A Formal Framework for Interpretable Machine Learning.- Algorithmic fairness in mortgage lending: from absolute conditions to relational trade-offs.- Ethical Foresight Analysis: What it is and Why it is Needed?.- Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.