Kooperativer Bibliotheksverbund

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Format: 1 Online-Ressource (VI, 222 Seiten).

ISBN: 978-3-031-34804-4

Series Statement: The international library of ethics, law and technology volume 40

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-031-34803-7

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-031-34806-8

Language: English

DOI: 10.1007/978-3-031-34804-4

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Kaesling, Katharina 1984-

UID:

Format: 1 online resource (231 pages)

ISBN: 3-030-90221-8

Series Statement: Advanced Sciences and Technologies for Security Applications

Content: This open access book brings together a range of contributions that seek to explore the ethical issues arising from the overlap between counter-terrorism, ethics, and technologies. Terrorism and our responses pose some of the most significant ethical challenges to states and people. At the same time, we are becoming increasingly aware of the ethical implications of new and emerging technologies. Whether it is the use of remote weapons like drones as part of counter-terrorism strategies, the application of surveillance technologies to monitor and respond to terrorist activities, or counterintelligence agencies use of machine learning to detect suspicious behavior and hacking computers to gain access to encrypted data, technologies play a significant role in modern counter-terrorism. However, each of these technologies carries with them a range of ethical issues and challenges. How we use these technologies and the policies that govern them have broader impact beyond just the identification and response to terrorist activities. As we are seeing with China, the need to respond to domestic terrorism is one of the justifications for their rollout of the “social credit system.” Counter-terrorism technologies can easily succumb to mission creep, where a technology’s exceptional application becomes normalized and rolled out to society more generally. This collection is not just timely but an important contribution to understand the ethics of counter-terrorism and technology and has far wider implications for societies and nations around the world.

Note: English

Additional Edition: ISBN 3-030-90220-X

Language: English

Keywords: Aufsatzsammlung

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource (VI, 222 Seiten).

ISBN: 978-3-031-34804-4

Series Statement: The international library of ethics, law and technology volume 40

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-031-34803-7

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-031-34806-8

Language: English

DOI: 10.1007/978-3-031-34804-4

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Kaesling, Katharina 1984-

UID:

Format: 1 Online-Ressource (VI, 222 Seiten).

ISBN: 978-3-031-34804-4

Series Statement: The international library of ethics, law and technology volume 40

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-031-34803-7

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-031-34806-8

Language: English

DOI: 10.1007/978-3-031-34804-4

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Kaesling, Katharina 1984-

UID:

Format: 1 Online-Ressource (VI, 222 Seiten)

ISBN: 9783031348044

Series Statement: The international library of ethics, law and technology volume 40

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-031-34803-7

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-031-34806-8

Language: English

DOI: 10.1007/978-3-031-34804-4

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Kaesling, Katharina 1984-

UID:

Format: 1 online resource (220 pages)

Edition: 1st ed.

ISBN: 9783031348044

Series Statement: The International Library of Ethics, Law and Technology Series ; v.40

Note: Intro -- Contents -- Chapter 1: Introduction: Understanding and Regulating AI-Powered Recommender Systems -- References -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- 2.1 Introduction -- 2.2 Reasons for Discriminating Recommendations -- 2.2.1 Lack of Diversity in Training Data -- 2.2.2 (Unconscious) Bias in Training Data -- 2.2.3 Modelling Algorithm -- 2.2.4 Interim Conclusion and Thoughts -- 2.3 Legal Frame -- 2.3.1 Agreement - Data Protection Law -- 2.3.2 Information - Unfair Competition Law -- 2.3.3 General Anti-discrimination Law -- 2.3.4 Interim Conclusion -- 2.4 Outlook -- 2.4.1 Extreme Solutions -- 2.4.2 Further Development of the Information Approach -- 2.4.3 Monitoring and Audit Obligations -- 2.4.4 Interim Conclusion and Thoughts -- 2.5 Conclusions -- References -- Chapter 3: From Algorithmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- 3.1 Introduction -- 3.2 Recommender Governance in the EU Platform Economy -- 3.2.1 Mapping the Regulatory Landscape -- 3.2.2 Layers of Terminology in EU Law: "Rankings" and "Recommender Systems" -- 3.3 Five Axes of Algorithmic Transparency: A Comparative Analysis -- 3.3.1 Purpose of Transparency -- 3.3.2 Audiences of Disclosure -- 3.3.3 Addressees of the Duty to Disclose -- 3.3.4 Content of the Disclosure -- 3.3.5 Modalities of Disclosure -- 3.4 The Digital Services Act: From Algorithmic Transparency to Algorithmic Choice? -- 3.4.1 Extension of Transparency Rules -- 3.4.2 User Control Over Ranking Criteria -- 3.5 Third Party Recommender Systems: Towards a Market for "RecommenderTech" -- 3.6 Conclusion -- References -- Chapter 4: Black Hole Instead of Black Box?: The Double Opaqueness of Recommender Systems on Gaming Platforms and Its Legal Implications -- 4.1 Introduction. , 4.2 The Black Box-Problem of AI Applications -- 4.2.1 Transparency and Explainability: An Introduction -- 4.2.2 Efficiency vs. Explainability of Machine Learning -- 4.2.3 Background of the Transparency Requirement -- 4.2.4 Criticism -- 4.2.5 In Terms of Recommender Systems -- 4.3 The Black Hole-Problem of Gaming Platforms -- 4.3.1 Types of Recommender Systems -- 4.3.1.1 Content-Based Filtering Methods -- 4.3.1.2 Collaborative Filtering Methods -- 4.3.1.3 Hybrid Filtering Methods -- 4.3.2 Black Hole Phenomenon -- 4.4 Legal Bases and Consequences -- 4.4.1 Legal Acts -- 4.4.2 Digital Services Act -- 4.4.2.1 Problem Description -- 4.4.2.2 Regulatory Content Related to Recommender Systems -- 4.4.3 Artificial Intelligence Act -- 4.4.3.1 Purpose of the Draft Act -- 4.4.3.2 Regulatory Content Related to Recommender Systems -- 4.4.4 Dealing with Legal Requirements -- 4.4.4.1 User-Oriented Transparency -- 4.4.4.2 Government Oversight -- 4.4.4.3 Combination of the Two Approaches with Additional Experts -- 4.5 Implementation of the Proposed Solutions -- 4.5.1 Standardization -- 4.5.2 Control Mechanisms -- 4.6 Conclusion -- References -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- 5.1 Introduction: Multisided (Un)Fairness in Recommender Systems -- 5.2 Digital Labor as a Structural Issue in Recommender Systems -- 5.3 Fairness Issues from Value Distribution to Work Conditions and Laborers' Awareness -- 5.4 Addressing the Problem -- 5.5 Conclusion -- References -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy: How European Civil Law Regulates and Should Regulate Recommender Systems for the Benefit of Private Autonomy -- 6.1 Introduction -- 6.2 Autonomy and Influence in Private Law -- 6.3 Recommender Systems and Their Influence -- 6.4 Manipulation. , 6.5 Recommender Systems and Manipulation -- 6.5.1 Recommendations in General -- 6.5.2 Labelled Recommendations -- 6.5.3 Unrelated Recommendations -- 6.5.3.1 In General -- 6.5.3.2 Targeted Recommendations -- 6.5.3.2.1 In General -- 6.5.3.2.2 Exploiting Emotions -- 6.5.3.2.3 Addressing Fears Through (Allegedly) Harm-Alleviating Offers -- 6.5.4 Interim Conclusion: Recommender Systems, Manipulation and Private Autonomy -- 6.6 Regulation Regarding Recommender Systems -- 6.6.1 Unexpected Recommendation Criteria -- 6.6.2 Targeted Recommendations Exploiting Emotions or Addressing Fears -- 6.6.3 Regulative Measures to Take Regarding Recommender Systems -- 6.7 Conclusion -- References -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- 7.1 Introduction -- 7.2 Practical Reasoning, Choices, and Recommendations -- 7.3 Recommender Systems and Digital Nudging -- 7.4 Autonomy in Practical Reasoning with Recommender Systems -- 7.5 Conclusion -- References -- Chapter 8: Recommending Ourselves to Death: Values in the Age of Algorithms -- 8.1 Introduction -- 8.2 Distorting Forces -- 8.2.1 Past Evaluative Standards -- 8.2.2 Reducing to Computable Information -- 8.2.3 Proxies for 'Good' -- 8.2.4 Black Boxed -- 8.3 Changing Human Values -- 8.4 Same Problem with Humans? -- 8.5 Conclusion -- References -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- 9.1 Introduction -- 9.2 An Example Application: FoodApp- the Application for Meal Delivery -- 9.3 Current Approaches to Ethical Analysis of Recommender Systems -- 9.4 Ethical Analysis -- 9.5 Legal Considerations -- 9.5.1 Data Protection Law -- 9.5.2 General Principles and Lawfulness of Processing Personal Data -- 9.5.3 Lawfulness. , 9.5.4 Purpose Limitation and Access to Data -- 9.5.5 Data Minimization and Storage Limitation -- 9.5.6 Accuracy, Security and Impact Assessment -- 9.6 Results of the Combined Ethical and Legal Analysis Approach -- 9.7 Conclusion and Outlook -- References -- Chapter 10: Factors Influencing Trust and Use of Recommendation AI: A Case Study of Diet Improvement AI in Japan -- 10.1 Society 5.0 and Recommendation AI in Japan -- 10.2 Model for Ensuring Trustworthiness of AI Services -- 10.3 Components of a Trustworthy AI Model -- 10.3.1 AI Intervention -- 10.3.2 Data Management -- 10.3.3 Purpose of Use -- 10.4 Verification of Trustworthy AI Model: A Case Study of AI for Dietary Habit Improvement Recommendations -- 10.4.1 Subjects -- 10.4.2 Verification 1: AI Intervention -- 10.4.3 Verification 2: Data Management -- 10.4.4 Verification 3: Purpose of Use -- 10.4.5 Method -- 10.4.6 Results -- 10.4.6.1 AI Intervention -- 10.4.6.2 Data Management -- 10.4.6.3 Purpose of Use in Terms of Service Agreements -- 10.5 Necessary Elements for Trusted AI -- References -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation -- 11.1 Introduction -- 11.2 Methods of Recommender Systems -- 11.3 Recommender Systems in e-Learning -- 11.3.1 Filtering Techniques: What Implications on Social and Epistemic Open-Mindedness? -- 11.3.2 Model Selection: A Risk of Thinking Homogenization? -- 11.3.3 Assessment Methods: What Do They Value? -- 11.4 Problem Statement -- 11.5 Some Proposals -- 11.5.1 Knowledge-Based Recommendations -- 11.5.2 A Learner Model Coming from Cognitive and Educational Sciences -- 11.5.3 A Teaching Model Based on Empiric Analyses -- 11.5.4 Explainable Recommendations -- 11.6 Discussion and Conclusion -- References.

Additional Edition: Print version: Genovesi, Sergio Recommender Systems: Legal and Ethical Issues Cham : Springer International Publishing AG,c2023 ISBN 9783031348037

Language: English

Keywords: Electronic books. ; Electronic books.

URL: Click to View

URL: Click here to view book

URL: lizenzpflichtig

UID:

Format: 1 online resource (220 pages)

Edition: 1st ed. 2023.

ISBN: 3-031-34804-4

Series Statement: The International Library of Ethics, Law and Technology, 40

Content: This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems. .

Note: Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselves to Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.

Additional Edition: ISBN 3-031-34803-6

Language: English

DOI: 10.1007/978-3-031-34804-4

UID:

Format: 1 Online-Ressource (222 p.)

ISBN: 9783031348044 , 9783031348037

Series Statement: The International Library of Ethics, Law and Technology

Content: This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems

Note: English

Language: Undetermined

URL: kostenfrei

UID:

Format: 1 Online-Ressource (221 p.)

ISBN: 9783030902216

Series Statement: Advanced Sciences and Technologies for Security Applications

Content: This open access book brings together a range of contributions that seek to explore the ethical issues arising from the overlap between counter-terrorism, ethics, and technologies. Terrorism and our responses pose some of the most significant ethical challenges to states and people. At the same time, we are becoming increasingly aware of the ethical implications of new and emerging technologies. Whether it is the use of remote weapons like drones as part of counter-terrorism strategies, the application of surveillance technologies to monitor and respond to terrorist activities, or counterintelligence agencies use of machine learning to detect suspicious behavior and hacking computers to gain access to encrypted data, technologies play a significant role in modern counter-terrorism. However, each of these technologies carries with them a range of ethical issues and challenges. How we use these technologies and the policies that govern them have broader impact beyond just the identification and response to terrorist activities. As we are seeing with China, the need to respond to domestic terrorism is one of the justifications for their rollout of the “social credit system.” Counter-terrorism technologies can easily succumb to mission creep, where a technology’s exceptional application becomes normalized and rolled out to society more generally. This collection is not just timely but an important contribution to understand the ethics of counter-terrorism and technology and has far wider implications for societies and nations around the world

Note: English

Language: English

URL: kostenfrei

UID:

Format: XVI, 221 p. 1 illus. , online resource.

Edition: 1st ed. 2021.

ISBN: 9783030902216

Series Statement: Advanced Sciences and Technologies for Security Applications,

Content: This open access book brings together a range of contributions that seek to explore the ethical issues arising from the overlap between counter-terrorism, ethics, and technologies. Terrorism and our responses pose some of the most significant ethical challenges to states and people. At the same time, we are becoming increasingly aware of the ethical implications of new and emerging technologies. Whether it is the use of remote weapons like drones as part of counter-terrorism strategies, the application of surveillance technologies to monitor and respond to terrorist activities, or counterintelligence agencies use of machine learning to detect suspicious behavior and hacking computers to gain access to encrypted data, technologies play a significant role in modern counter-terrorism. However, each of these technologies carries with them a range of ethical issues and challenges. How we use these technologies and the policies that govern them have broader impact beyond just the identification and response to terrorist activities. As we are seeing with China, the need to respond to domestic terrorism is one of the justifications for their rollout of the "social credit system." Counter-terrorism technologies can easily succumb to mission creep, where a technology's exceptional application becomes normalized and rolled out to society more generally. This collection is not just timely but an important contribution to understand the ethics of counter-terrorism and technology and has far wider implications for societies and nations around the world.

Note: 1. Drones As A Tool In Counter-Terrorism -- 2. Deception Strategies In Autonomous Warfare -- 3. Rethinking Drones As Terrorist Weapons -- 4. Proportionality, Surveillance And Counter-Terrorism -- 5. Privacy, Encryption And Counter-Terrorism -- 6. The Rise Of The Modern Intelligence State -- 7. Acceptability Of Bulk Facial Recognition for Counter-Terrorism: The Case For A Total Ban -- 8. "No cracks, no blind spots, no gaps": Technologically-enabled "Preventive" Counterterrorism and Mass Repression in Xinjiang, China -- 9. Media Ecologies, On-Line Radicalisation And Bottom-Up CVE Approaches -- 10. The Ethics of Regulating Extremist Content Online -- 11. Terrorism And The Internet Of Things: Cyberterrorism Will Happen -- 12. Violent Non State Actors And The Technology Adoption Curve.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030902209

Additional Edition: Printed edition: ISBN 9783030902223

Additional Edition: Printed edition: ISBN 9783030902230

Language: English

Keywords: Aufsatzsammlung

DOI: 10.1007/978-3-030-90221-6

URL: https://doi.org/10.1007/978-3-030-90221-6

URL: https://doi.org/10.1007/978-3-030-90221-6

URL: https://link.springer.com/book/10.1007/978-3-030-90221-6