UID:
almafu_9960862237702883
Umfang:
1 online resource (204 pages)
ISBN:
3-031-09823-4
Serie:
Intelligent Systems, Control and Automation: Science and Engineering ; v.102
Anmerkung:
Intro -- Preface -- Acknowledgments -- Contents -- Artificial Intelligence: A Concept Under-Construction, A Reality Under-Development -- 1 A Concept Under-Construction -- 2 Natural Cognition: What Does [Intelligence] Stand for? -- 2.1 Basic Assumptions -- 2.2 The Three Common Key Existential Factors -- 2.3 The Specificity of Human Cognition -- 2.4 Representing Life Dynamics: The Need for a Non-mechanistic Approach -- 3 The Task of Replicating Intelligence -- 3.1 First Steps and the Way Forward -- 3.2 The Natural, the Artificial and Their Hybrid Forms -- 3.3 When Algorithms Couple with Data: The Digital Umwelt -- 4 Conclusion -- References -- In Machines We Trust? -- 1 Introduction -- 2 The Biological Roots of Trust -- 3 Trusting: The Glue of Interpersonal Relationships -- 4 The Concept of [Trust]: Defining Semantic Boundaries and Scope of Reference -- 5 Trusting Products -- 5.1 General Framework -- 5.2 The Case of Artificial Intelligent Systems -- 5.3 The Role of Benchmarking, Standardisation and Certification -- 5.4 Certification -- 6 Conclusions -- References -- Informational Privacy and Trust in Autonomous Intelligent Systems -- 1 Introduction -- 2 GDPR and Its Aims -- 3 GDPR & -- AIS-Case Examples -- 3.1 Ex-Ante Obligations: TOMs and DPIAs -- 3.2 Automated Decision Making -- 3.3 Transatlantic Transfers of Personal Data -- 4 Conclusions -- Reference -- Ethical Risk Assessment for Social Robots: Case Studies in Smart Robot Toys -- 1 Introduction -- 2 Ethical Risk Assessment -- 3 Case Study with a Fictional Smart Toy: RoboTed -- 3.1 Physical Risks -- 3.2 Psychological Risks -- 3.3 Privacy and Security Risks -- 3.4 Environmental Risks -- 3.5 Discussion of ERA for RoboTed -- 4 Case Study with Existing Smart Toy: Purrble -- 4.1 Physical Risks -- 4.2 Psychological Risks -- 4.3 Privacy and Security Risks -- 4.4 Environmental Risks.
,
4.5 Discussion of ERA for Purrble -- 5 Discussion and Conclusions -- References -- Practical and Open Source Best Practices for Ethical Machine Learning -- 1 Introduction -- 2 Ethical Machine Learning -- 3 Best Practices in Machine Learning -- 3.1 Definition and Scope -- 3.2 Technical and Organisational BP -- 4 Conclusion -- References -- Recruitment AI Has a Disability Problem: Anticipating and Mitigating Unfair Automated Hiring Decisions -- 1 Introduction -- 2 Disability Marginalisation and Employment -- 3 Recruitment AI -- 4 Exclusion by Design and Discriminatory Use -- 4.1 Biased Systems -- 4.2 Improper Implementation and Use -- 5 AI on the Market: The Risks of Discrimination -- 5.1 ATS and CRM Systems -- 5.2 CV/Resume Screeners -- 5.3 Conversational Agents -- 5.4 Pre-employment Assessments -- 5.5 AI Interviewing -- 6 Intervention Recommendations -- 6.1 Executive Level Stakeholders -- 6.2 Human Resources Stakeholders -- 6.3 Procurement Stakeholders -- 6.4 Information Technology Stakeholders -- References -- Developing and Evaluating Complex Interventions: The Case of Robotic Systems in Cognitive Rehabilitation Therapy -- 1 Introduction -- 2 Complex Interventions: Definition and Scope -- 3 Robotics in Cognitive Rehabilitation Therapy (CRT) -- 4 Conclusions -- References -- COVID-19 Contact Tracing Applications in Portugal: Effectiveness and Privacy Issues -- 1 Introduction -- 2 COVID-19 Smartphone-Based Contact Tracing in Portugal -- 3 Contact Tracing Technologies -- 4 Analysis and Conclusions -- References -- Robots That Look After Grandma? A Gerontechnology Point of View -- 1 Robots That Look After Grandma -- 2 Gerontechnology, the Intersection Between Technology and Aging -- 3 Robots Used in Caring for Older Adults in Everyday Lives At Home -- 4 Building Ambient Intelligence to Support Older Adults and Caregivers -- References.
,
Making Maximally Ethical Decisions via Cognitive Likelihood and Formal Planning -- 1 Introduction -- 2 Cognitive Calculi -- 2.1 Deontic Cognitive Event Calculus -- 2.2 Inductive Deontic Cognitive Event Calculus -- 2.3 Cognitive Likelihood -- 3 Highly-Expressive Automated Planning -- 4 Selecting Plans Using Cognitive Likelihood -- 5 Case Study: The Miracle on the Hudson -- 5.1 Recounting US Airways Flight 1549 -- 5.2 The Setup -- 5.3 The Arguments -- 5.4 The Framework, Applied -- 6 Related Work -- 7 Conclusion -- References -- The (Uncomputable!) Meaning of Ethically Charged Natural Language, for Robots, and Us, from Hypergraphical Inferential Semantics -- 1 Introduction -- 2 A Household-Robot Case Study -- 3 Prior Framework for Engineering of Robots Rodney and Ralph -- 4 Montagovian/Model-Theoretic Approach to Meaning, Rejected -- 4.1 MTS in Summary -- 4.2 Two Fatal Defects in Model-Theoretic Semantics -- 5 Proof-Theoretic Semantics (PTS) -- 5.1 The Basic Idea -- 5.2 But What About PTS for Natural Language? -- 6 Hypergraphical Inferential Semantics (mathscrH mathscrI mathscrS) -- 6.1 Intuitive Kernel of mathscrH mathscrI mathscrS via Buffalo-Buffalo-ellipsis… -- 6.2 Hypergraphical Natural Deduction -- 6.3 An Example: The Meaning of `Emma Helped' -- 7 Applying mathscrH mathscrI mathscrS to the Robot Case Study -- 8 Questions/Objections and Replies -- 8.1 Objection 1: Redundancies & -- Irrelevancies -- 8.2 Objection 2: Termination -- 8.3 Objection 3: How are Divine-command Theories and Codes Formalized? -- 8.4 Objection 4: OS-Level Ethical Controls Mysterious -- 9 Natural Language Understanding Is Provably Uncomputable -- 9.1 What of Prior and Related Work? -- 9.2 Descriptive Complexity -- 9.3 Computational Cognitive NLU -- 9.4 Computational Learning Theory -- 10 Future Work -- Further Objections -- References.
,
Reinventing Kantian Autonomy for Artificial Agents: Implications for Self-driving Cars -- 1 Introduction -- 1.1 Robot Ethics as Applied Ethics -- 1.2 Agency -- 1.3 Moral Agency -- 1.4 Can Animals Be Moral Agents? -- 1.5 Autonomous Robots -- 2 Self-driving Vehicles -- 3 Conclusions -- References -- Realizing the Potential of AI in Africa: It All Turns on Trust -- 1 Introduction -- 2 The Benefits of AI Depend on Adoption and Trust -- 3 AI in Africa -- 4 Accelerating the Exploitation and Adoption of AI in Africa -- 5 The Downsides of AI -- 6 AI Education in Africa Is the Key to Progress -- 7 Conclusions -- References -- Index.
Weitere Ausg.:
Print version: Ferreira, Maria Isabel Aldinhas Towards Trustworthy Artificial Intelligent Systems Cham : Springer International Publishing AG,c2022 ISBN 9783031098222
Sprache:
Englisch
