The 2020 yearbook of the Digital Ethics Lab / Josh Cowls, Jessica Morley, editors.
Cowls, Josh, editor.; Morley, Jessica, editor.
2021
QA76.9.M65 A12 2021eb
Available Online

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Title The 2020 yearbook of the Digital Ethics Lab / Josh Cowls, Jessica Morley, editors.
ISBN 9783030800833 (electronic bk.)
3030800830 (electronic bk.)
9783030800826
3030800822
DOI https://doi.org/10.1007/978-3-030-80083-3
Published Cham : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (vii, 227 pages : illustrations).
Item Number 10.1007/978-3-030-80083-3 doi
Call Number QA76.9.M65 A12 2021eb
Dewey Decimal Classification 174/.9004
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based upon print version of record.
Added Author Cowls, Josh, editor.
Morley, Jessica, editor.
Series Digital Ethics Lab yearbook.
Available in Other Form The 2020 Yearbook of the Digital Ethics Lab
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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 landing: 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.

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