An Introduction to Ethics in Robotics and AI / / by Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh.

This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading t...

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Superior document:SpringerBriefs in Ethics,
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Place / Publishing House:Cham : : Springer International Publishing :, Imprint: Springer,, 2021.
Year of Publication:2021
Edition:1st ed. 2021.
Language:English
Series:SpringerBriefs in Ethics,
Physical Description:1 online resource (XI, 117 p. 18 illus. in color.)
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(DE-He213)978-3-030-51110-4
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(OCoLC)1243549526
(oapen)https://directory.doabooks.org/handle/20.500.12854/35187
(EXLCZ)994100000011384197
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spelling Bartneck, Christoph, 1973- author. aut http://id.loc.gov/vocabulary/relators/aut
An Introduction to Ethics in Robotics and AI / by Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh.
1st ed. 2021.
Springer Nature 2021
Cham : Springer International Publishing : Imprint: Springer, 2021.
1 online resource (XI, 117 p. 18 illus. in color.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
SpringerBriefs in Ethics, 2211-8101
Open access Unrestricted online access star
This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.
Description based on publisher supplied metadata and other sources.
Intro -- Contents -- List of Figures -- 1 About the Book -- 1.1 Authors -- 1.2 Structure of the Book -- 2 What Is AI? -- 2.1 Introduction to AI -- 2.1.1 The Turing Test -- 2.1.2 Strong and Weak AI -- 2.1.3 Types of AI Systems -- 2.2 What Is Machine Learning? -- 2.3 What Is a Robot? -- 2.3.1 Sense-Plan-Act -- 2.3.2 System Integration. Necessary but Difficult -- 2.4 What Is Hard for AI -- 2.5 Science and Fiction of AI -- 3 What Is Ethics? -- 3.1 Descriptive Ethics -- 3.2 Normative Ethics -- 3.2.1 Deontological Ethics -- 3.2.2 Consequentialist Ethics -- 3.2.3 Virtue Ethics -- 3.3 Meta-ethics -- 3.4 Applied Ethics -- 3.5 Relationship Between Ethics and Law -- 3.6 Machine Ethics -- 3.6.1 Machine Ethics Examples -- 3.6.2 Moral Diversity and Testing -- 4 Trust and Fairness in AI Systems -- 4.1 User Acceptance and Trust -- 4.2 Functional Elements of Trust -- 4.3 Ethical Principles for Trustworthy and Fair AI -- 4.3.1 Non-maleficence -- 4.3.2 Beneficence -- 4.3.3 Autonomy -- 4.3.4 Justice -- 4.3.5 Explicability -- 4.4 Conclusion -- 5 Responsibility and Liability in the Case of AI Systems -- 5.1 Example 1: Crash of an Autonomous Vehicle -- 5.2 Example 2: Mistargeting by an Autonomous Weapon -- 5.2.1 Attribution of Responsibility and Liability -- 5.2.2 Moral Responsibility Versus Liability -- 5.3 Strict Liability -- 5.4 Complex Liability: The Problem of Many Hands -- 5.5 Consequences of Liability: Sanctions -- 6 Risks in the Business of AI -- 6.1 General Business Risks -- 6.1.1 Functional Risk -- 6.1.2 Systemic Risk -- 6.1.3 Risk of Fraud -- 6.1.4 Safety Risk -- 6.2 Ethical Risks of AI -- 6.2.1 Reputational Risk -- 6.2.2 Legal Risk -- 6.2.3 Environmental Risk -- 6.2.4 Social Risk -- 6.3 Managing Risk of AI -- 6.4 Business Ethics for AI Companies -- 6.5 Risks of AI to Workers -- 7 Psychological Aspects of AI -- 7.1 Problems of Anthropomorphisation.
7.1.1 Misplaced Feelings Towards AI -- 7.1.2 Misplaced Trust in AI -- 7.2 Persuasive AI -- 7.3 Unidirectional Emotional Bonding with AI -- 8 Privacy Issues of AI -- 8.1 What Is Privacy? -- 8.2 Why AI Needs Data -- 8.3 Private Data Collection and Its Dangers -- 8.3.1 Persistence Surveillance -- 8.3.2 Usage of Private Data for Non-intended Purposes -- 8.3.3 Auto Insurance Discrimination -- 8.3.4 The Chinese Social Credit System -- 8.4 Future Perspectives -- 9 Application Areas of AI -- 9.1 Ethical Issues Related to AI Enhancement -- 9.1.1 Restoration Versus Enhancement -- 9.1.2 Enhancement for the Purpose of Competition -- 9.2 Ethical Issues Related to Robots and Healthcare -- 9.3 Robots and Telemedicine -- 9.3.1 Older Adults and Social Isolation -- 9.3.2 Nudging -- 9.3.3 Psychological Care -- 9.3.4 Exoskeletons -- 9.3.5 Quality of Care -- 9.4 Education -- 9.4.1 AI in Educational Administrative Support -- 9.4.2 Teaching -- 9.4.3 Forecasting Students' Performance -- 9.5 Sex Robots -- 10 Autonomous Vehicles -- 10.1 Levels of Autonomous Driving -- 10.2 Current Situation -- 10.3 Ethical Benefits of AVs -- 10.4 Accidents with AVs -- 10.5 Ethical Guidelines for AVs -- 10.6 Ethical Questions in AVs -- 10.6.1 Accountability and Liability -- 10.6.2 Situations of Unavoidable Accidents -- 10.6.3 Privacy Issues -- 10.6.4 Security -- 10.6.5 Appropriate Design of Human-Machine Interface -- 10.6.6 Machine Learning -- 10.6.7 Manually Overruling the System? -- 10.6.8 Possible Ethical Questions in Future Scenarios -- 11 Military Uses of AI -- 11.1 Definitions -- 11.2 The Use of Autonomous Weapons Systems -- 11.2.1 Discrimination -- 11.2.2 Proportionality -- 11.2.3 Responsibility -- 11.3 Regulations Governing an AWS -- 11.4 Ethical Arguments for and Against AI for Military Purposes -- 11.4.1 Arguments in Favour -- 11.4.2 Arguments Against -- 11.5 Conclusion.
12 Ethics in AI and Robotics: A Strategic Challenge -- 12.1 The Role of Ethics -- 12.2 International Cooperation -- Appendix References -- -- Index.
English
Engineering ethics.
Robotics.
Psychology, Applied.
Engineering Ethics. https://scigraph.springernature.com/ontologies/product-market-codes/E14030
Robotics. https://scigraph.springernature.com/ontologies/product-market-codes/I21050
Applied Psychology. https://scigraph.springernature.com/ontologies/product-market-codes/Y20210
Engineering Ethics
Robotics
Applied Psychology
Moral Philosophy and Applied Ethics
Behavioral Sciences and Psychology
AI and ethics
ethics and robotics
descriptive ethics
relationship between ethics and law
machine ethics
machine meta-ethics
machine normative ethics
types of AI systems
strong and weak AI
challenges of AI
Open Access
Ethics & moral philosophy
Technology: general issues
Artificial intelligence
Psychology
3-030-51109-X
Lütge, Christoph. author. aut http://id.loc.gov/vocabulary/relators/aut
Wagner, Alan. author. aut http://id.loc.gov/vocabulary/relators/aut
Welsh, Sean. author. aut http://id.loc.gov/vocabulary/relators/aut
language English
format eBook
author Bartneck, Christoph, 1973-
Bartneck, Christoph, 1973-
Lütge, Christoph.
Wagner, Alan.
Welsh, Sean.
spellingShingle Bartneck, Christoph, 1973-
Bartneck, Christoph, 1973-
Lütge, Christoph.
Wagner, Alan.
Welsh, Sean.
An Introduction to Ethics in Robotics and AI /
SpringerBriefs in Ethics,
Intro -- Contents -- List of Figures -- 1 About the Book -- 1.1 Authors -- 1.2 Structure of the Book -- 2 What Is AI? -- 2.1 Introduction to AI -- 2.1.1 The Turing Test -- 2.1.2 Strong and Weak AI -- 2.1.3 Types of AI Systems -- 2.2 What Is Machine Learning? -- 2.3 What Is a Robot? -- 2.3.1 Sense-Plan-Act -- 2.3.2 System Integration. Necessary but Difficult -- 2.4 What Is Hard for AI -- 2.5 Science and Fiction of AI -- 3 What Is Ethics? -- 3.1 Descriptive Ethics -- 3.2 Normative Ethics -- 3.2.1 Deontological Ethics -- 3.2.2 Consequentialist Ethics -- 3.2.3 Virtue Ethics -- 3.3 Meta-ethics -- 3.4 Applied Ethics -- 3.5 Relationship Between Ethics and Law -- 3.6 Machine Ethics -- 3.6.1 Machine Ethics Examples -- 3.6.2 Moral Diversity and Testing -- 4 Trust and Fairness in AI Systems -- 4.1 User Acceptance and Trust -- 4.2 Functional Elements of Trust -- 4.3 Ethical Principles for Trustworthy and Fair AI -- 4.3.1 Non-maleficence -- 4.3.2 Beneficence -- 4.3.3 Autonomy -- 4.3.4 Justice -- 4.3.5 Explicability -- 4.4 Conclusion -- 5 Responsibility and Liability in the Case of AI Systems -- 5.1 Example 1: Crash of an Autonomous Vehicle -- 5.2 Example 2: Mistargeting by an Autonomous Weapon -- 5.2.1 Attribution of Responsibility and Liability -- 5.2.2 Moral Responsibility Versus Liability -- 5.3 Strict Liability -- 5.4 Complex Liability: The Problem of Many Hands -- 5.5 Consequences of Liability: Sanctions -- 6 Risks in the Business of AI -- 6.1 General Business Risks -- 6.1.1 Functional Risk -- 6.1.2 Systemic Risk -- 6.1.3 Risk of Fraud -- 6.1.4 Safety Risk -- 6.2 Ethical Risks of AI -- 6.2.1 Reputational Risk -- 6.2.2 Legal Risk -- 6.2.3 Environmental Risk -- 6.2.4 Social Risk -- 6.3 Managing Risk of AI -- 6.4 Business Ethics for AI Companies -- 6.5 Risks of AI to Workers -- 7 Psychological Aspects of AI -- 7.1 Problems of Anthropomorphisation.
7.1.1 Misplaced Feelings Towards AI -- 7.1.2 Misplaced Trust in AI -- 7.2 Persuasive AI -- 7.3 Unidirectional Emotional Bonding with AI -- 8 Privacy Issues of AI -- 8.1 What Is Privacy? -- 8.2 Why AI Needs Data -- 8.3 Private Data Collection and Its Dangers -- 8.3.1 Persistence Surveillance -- 8.3.2 Usage of Private Data for Non-intended Purposes -- 8.3.3 Auto Insurance Discrimination -- 8.3.4 The Chinese Social Credit System -- 8.4 Future Perspectives -- 9 Application Areas of AI -- 9.1 Ethical Issues Related to AI Enhancement -- 9.1.1 Restoration Versus Enhancement -- 9.1.2 Enhancement for the Purpose of Competition -- 9.2 Ethical Issues Related to Robots and Healthcare -- 9.3 Robots and Telemedicine -- 9.3.1 Older Adults and Social Isolation -- 9.3.2 Nudging -- 9.3.3 Psychological Care -- 9.3.4 Exoskeletons -- 9.3.5 Quality of Care -- 9.4 Education -- 9.4.1 AI in Educational Administrative Support -- 9.4.2 Teaching -- 9.4.3 Forecasting Students' Performance -- 9.5 Sex Robots -- 10 Autonomous Vehicles -- 10.1 Levels of Autonomous Driving -- 10.2 Current Situation -- 10.3 Ethical Benefits of AVs -- 10.4 Accidents with AVs -- 10.5 Ethical Guidelines for AVs -- 10.6 Ethical Questions in AVs -- 10.6.1 Accountability and Liability -- 10.6.2 Situations of Unavoidable Accidents -- 10.6.3 Privacy Issues -- 10.6.4 Security -- 10.6.5 Appropriate Design of Human-Machine Interface -- 10.6.6 Machine Learning -- 10.6.7 Manually Overruling the System? -- 10.6.8 Possible Ethical Questions in Future Scenarios -- 11 Military Uses of AI -- 11.1 Definitions -- 11.2 The Use of Autonomous Weapons Systems -- 11.2.1 Discrimination -- 11.2.2 Proportionality -- 11.2.3 Responsibility -- 11.3 Regulations Governing an AWS -- 11.4 Ethical Arguments for and Against AI for Military Purposes -- 11.4.1 Arguments in Favour -- 11.4.2 Arguments Against -- 11.5 Conclusion.
12 Ethics in AI and Robotics: A Strategic Challenge -- 12.1 The Role of Ethics -- 12.2 International Cooperation -- Appendix References -- -- Index.
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Lütge, Christoph.
Wagner, Alan.
Welsh, Sean.
Lütge, Christoph.
Lütge, Christoph.
Wagner, Alan.
Wagner, Alan.
Welsh, Sean.
Welsh, Sean.
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author_sort Bartneck, Christoph, 1973-
title An Introduction to Ethics in Robotics and AI /
title_full An Introduction to Ethics in Robotics and AI / by Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh.
title_fullStr An Introduction to Ethics in Robotics and AI / by Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh.
title_full_unstemmed An Introduction to Ethics in Robotics and AI / by Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh.
title_auth An Introduction to Ethics in Robotics and AI /
title_new An Introduction to Ethics in Robotics and AI /
title_sort an introduction to ethics in robotics and ai /
series SpringerBriefs in Ethics,
series2 SpringerBriefs in Ethics,
publisher Springer Nature
Springer International Publishing : Imprint: Springer,
publishDate 2021
physical 1 online resource (XI, 117 p. 18 illus. in color.)
edition 1st ed. 2021.
contents Intro -- Contents -- List of Figures -- 1 About the Book -- 1.1 Authors -- 1.2 Structure of the Book -- 2 What Is AI? -- 2.1 Introduction to AI -- 2.1.1 The Turing Test -- 2.1.2 Strong and Weak AI -- 2.1.3 Types of AI Systems -- 2.2 What Is Machine Learning? -- 2.3 What Is a Robot? -- 2.3.1 Sense-Plan-Act -- 2.3.2 System Integration. Necessary but Difficult -- 2.4 What Is Hard for AI -- 2.5 Science and Fiction of AI -- 3 What Is Ethics? -- 3.1 Descriptive Ethics -- 3.2 Normative Ethics -- 3.2.1 Deontological Ethics -- 3.2.2 Consequentialist Ethics -- 3.2.3 Virtue Ethics -- 3.3 Meta-ethics -- 3.4 Applied Ethics -- 3.5 Relationship Between Ethics and Law -- 3.6 Machine Ethics -- 3.6.1 Machine Ethics Examples -- 3.6.2 Moral Diversity and Testing -- 4 Trust and Fairness in AI Systems -- 4.1 User Acceptance and Trust -- 4.2 Functional Elements of Trust -- 4.3 Ethical Principles for Trustworthy and Fair AI -- 4.3.1 Non-maleficence -- 4.3.2 Beneficence -- 4.3.3 Autonomy -- 4.3.4 Justice -- 4.3.5 Explicability -- 4.4 Conclusion -- 5 Responsibility and Liability in the Case of AI Systems -- 5.1 Example 1: Crash of an Autonomous Vehicle -- 5.2 Example 2: Mistargeting by an Autonomous Weapon -- 5.2.1 Attribution of Responsibility and Liability -- 5.2.2 Moral Responsibility Versus Liability -- 5.3 Strict Liability -- 5.4 Complex Liability: The Problem of Many Hands -- 5.5 Consequences of Liability: Sanctions -- 6 Risks in the Business of AI -- 6.1 General Business Risks -- 6.1.1 Functional Risk -- 6.1.2 Systemic Risk -- 6.1.3 Risk of Fraud -- 6.1.4 Safety Risk -- 6.2 Ethical Risks of AI -- 6.2.1 Reputational Risk -- 6.2.2 Legal Risk -- 6.2.3 Environmental Risk -- 6.2.4 Social Risk -- 6.3 Managing Risk of AI -- 6.4 Business Ethics for AI Companies -- 6.5 Risks of AI to Workers -- 7 Psychological Aspects of AI -- 7.1 Problems of Anthropomorphisation.
7.1.1 Misplaced Feelings Towards AI -- 7.1.2 Misplaced Trust in AI -- 7.2 Persuasive AI -- 7.3 Unidirectional Emotional Bonding with AI -- 8 Privacy Issues of AI -- 8.1 What Is Privacy? -- 8.2 Why AI Needs Data -- 8.3 Private Data Collection and Its Dangers -- 8.3.1 Persistence Surveillance -- 8.3.2 Usage of Private Data for Non-intended Purposes -- 8.3.3 Auto Insurance Discrimination -- 8.3.4 The Chinese Social Credit System -- 8.4 Future Perspectives -- 9 Application Areas of AI -- 9.1 Ethical Issues Related to AI Enhancement -- 9.1.1 Restoration Versus Enhancement -- 9.1.2 Enhancement for the Purpose of Competition -- 9.2 Ethical Issues Related to Robots and Healthcare -- 9.3 Robots and Telemedicine -- 9.3.1 Older Adults and Social Isolation -- 9.3.2 Nudging -- 9.3.3 Psychological Care -- 9.3.4 Exoskeletons -- 9.3.5 Quality of Care -- 9.4 Education -- 9.4.1 AI in Educational Administrative Support -- 9.4.2 Teaching -- 9.4.3 Forecasting Students' Performance -- 9.5 Sex Robots -- 10 Autonomous Vehicles -- 10.1 Levels of Autonomous Driving -- 10.2 Current Situation -- 10.3 Ethical Benefits of AVs -- 10.4 Accidents with AVs -- 10.5 Ethical Guidelines for AVs -- 10.6 Ethical Questions in AVs -- 10.6.1 Accountability and Liability -- 10.6.2 Situations of Unavoidable Accidents -- 10.6.3 Privacy Issues -- 10.6.4 Security -- 10.6.5 Appropriate Design of Human-Machine Interface -- 10.6.6 Machine Learning -- 10.6.7 Manually Overruling the System? -- 10.6.8 Possible Ethical Questions in Future Scenarios -- 11 Military Uses of AI -- 11.1 Definitions -- 11.2 The Use of Autonomous Weapons Systems -- 11.2.1 Discrimination -- 11.2.2 Proportionality -- 11.2.3 Responsibility -- 11.3 Regulations Governing an AWS -- 11.4 Ethical Arguments for and Against AI for Military Purposes -- 11.4.1 Arguments in Favour -- 11.4.2 Arguments Against -- 11.5 Conclusion.
12 Ethics in AI and Robotics: A Strategic Challenge -- 12.1 The Role of Ethics -- 12.2 International Cooperation -- Appendix References -- -- Index.
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Necessary but Difficult -- 2.4 What Is Hard for AI -- 2.5 Science and Fiction of AI -- 3 What Is Ethics? -- 3.1 Descriptive Ethics -- 3.2 Normative Ethics -- 3.2.1 Deontological Ethics -- 3.2.2 Consequentialist Ethics -- 3.2.3 Virtue Ethics -- 3.3 Meta-ethics -- 3.4 Applied Ethics -- 3.5 Relationship Between Ethics and Law -- 3.6 Machine Ethics -- 3.6.1 Machine Ethics Examples -- 3.6.2 Moral Diversity and Testing -- 4 Trust and Fairness in AI Systems -- 4.1 User Acceptance and Trust -- 4.2 Functional Elements of Trust -- 4.3 Ethical Principles for Trustworthy and Fair AI -- 4.3.1 Non-maleficence -- 4.3.2 Beneficence -- 4.3.3 Autonomy -- 4.3.4 Justice -- 4.3.5 Explicability -- 4.4 Conclusion -- 5 Responsibility and Liability in the Case of AI Systems -- 5.1 Example 1: Crash of an Autonomous Vehicle -- 5.2 Example 2: Mistargeting by an Autonomous Weapon -- 5.2.1 Attribution of Responsibility and Liability -- 5.2.2 Moral Responsibility Versus Liability -- 5.3 Strict Liability -- 5.4 Complex Liability: The Problem of Many Hands -- 5.5 Consequences of Liability: Sanctions -- 6 Risks in the Business of AI -- 6.1 General Business Risks -- 6.1.1 Functional Risk -- 6.1.2 Systemic Risk -- 6.1.3 Risk of Fraud -- 6.1.4 Safety Risk -- 6.2 Ethical Risks of AI -- 6.2.1 Reputational Risk -- 6.2.2 Legal Risk -- 6.2.3 Environmental Risk -- 6.2.4 Social Risk -- 6.3 Managing Risk of AI -- 6.4 Business Ethics for AI Companies -- 6.5 Risks of AI to Workers -- 7 Psychological Aspects of AI -- 7.1 Problems of Anthropomorphisation.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7.1.1 Misplaced Feelings Towards AI -- 7.1.2 Misplaced Trust in AI -- 7.2 Persuasive AI -- 7.3 Unidirectional Emotional Bonding with AI -- 8 Privacy Issues of AI -- 8.1 What Is Privacy? -- 8.2 Why AI Needs Data -- 8.3 Private Data Collection and Its Dangers -- 8.3.1 Persistence Surveillance -- 8.3.2 Usage of Private Data for Non-intended Purposes -- 8.3.3 Auto Insurance Discrimination -- 8.3.4 The Chinese Social Credit System -- 8.4 Future Perspectives -- 9 Application Areas of AI -- 9.1 Ethical Issues Related to AI Enhancement -- 9.1.1 Restoration Versus Enhancement -- 9.1.2 Enhancement for the Purpose of Competition -- 9.2 Ethical Issues Related to Robots and Healthcare -- 9.3 Robots and Telemedicine -- 9.3.1 Older Adults and Social Isolation -- 9.3.2 Nudging -- 9.3.3 Psychological Care -- 9.3.4 Exoskeletons -- 9.3.5 Quality of Care -- 9.4 Education -- 9.4.1 AI in Educational Administrative Support -- 9.4.2 Teaching -- 9.4.3 Forecasting Students' Performance -- 9.5 Sex Robots -- 10 Autonomous Vehicles -- 10.1 Levels of Autonomous Driving -- 10.2 Current Situation -- 10.3 Ethical Benefits of AVs -- 10.4 Accidents with AVs -- 10.5 Ethical Guidelines for AVs -- 10.6 Ethical Questions in AVs -- 10.6.1 Accountability and Liability -- 10.6.2 Situations of Unavoidable Accidents -- 10.6.3 Privacy Issues -- 10.6.4 Security -- 10.6.5 Appropriate Design of Human-Machine Interface -- 10.6.6 Machine Learning -- 10.6.7 Manually Overruling the System? -- 10.6.8 Possible Ethical Questions in Future Scenarios -- 11 Military Uses of AI -- 11.1 Definitions -- 11.2 The Use of Autonomous Weapons Systems -- 11.2.1 Discrimination -- 11.2.2 Proportionality -- 11.2.3 Responsibility -- 11.3 Regulations Governing an AWS -- 11.4 Ethical Arguments for and Against AI for Military Purposes -- 11.4.1 Arguments in Favour -- 11.4.2 Arguments Against -- 11.5 Conclusion.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">12 Ethics in AI and Robotics: A Strategic Challenge -- 12.1 The Role of Ethics -- 12.2 International Cooperation -- Appendix References -- -- Index.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Engineering ethics.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield 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