Ethics in online AI-based systems: risks and opportunities in current technological trends
Frameworks to mitigate potential ethical risks of AI-based assessment
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Elsevier/ Academic Press
2024
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| Schriftenreihe: | Intelligent Data-Centric Systems
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | Frameworks to mitigate potential ethical risks of AI-based assessment |
| Beschreibung: | xxv, 397 Seiten Illustrationen 24 cm |
| ISBN: | 9780443188510 |
Internformat
MARC
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| 505 | 8 | |a Part I. Ethical Implications of Artificial Intelligence in Applications for Education -- Part II. Ethical Implications of Artificial Intelligence in Autonomous Services and Systems -- Part III. Ethical Implications of Artificial Intelligence Models and Experiences -- Part IV. Ethical Implications of Artificial Intelligence in Social and Political Involvement | |
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Contents List of contributors.xv Preface. xix Acknowledgments. xxv Part I Ethical implications of artificial intelligence in applications for education_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ CHAPTER 1 Adverse effects of intelligent support of CSCL—the ethics of conversational agents. з Birk Thierfelder, Pantelis Μ. Papadopoulos, Armin Weinberger, Stavros Demetriadis and Stergios Tegos Introduction. 3 Conversational agents for collaborative learners. 4 How can CSCL agents interact with the learner?. 6 Effectiveness, advantages, and limits of agents in CSCL.8 From general ethical frameworks for ΑΙ-based systems to area-specific considerations for CSCL agent design. 9 Breaking down high-level frameworks: overlap or disjoint?. 10 Classifying
human-agent communication. 11 Who should be adapting to whom in CSCL settings?. 12 AI ethics and pedagogical ethics: clashing perspectives?.16 Conclusion.18 References.19 CHAPTER 2 Navigating the ethical landscape of multimodal learning analytics: a guiding framework. 25 Haifa Alwahaby and Mutlu Cukurova Introduction. 25 Background and literature review.26 Multimodal learning analytics: background,history, and aims. 26 The ethics of MMLA in education. 27 Methodology. 33 Participants. 33 Data collection. 34 Data
analysis. 35 Result. 35 Theme 1 : The emerging need for an ethicalframework for MMLA. 35 V
vi Contents Theme 2: Privacy, surveillance, and intrusiveness issues with MMLA. 36 Theme 3: Student agency over their learning and data ownership. 38 Theme 4: Trustworthiness of MMLA results. 39 Theme 5: Fairness and bias issues in MMLA systems. 39 Theme 6: MMLA systems’ transparency and explainability. 40 Theme 7: MMLA systems’ accountability. 40 Theme 8: Awareness level of benefits and risks associated with MMLA use. 41 Theme 9: Argued benefits of MMLA and the ethical issues of not using it.41 Discussion. 42 Limitations and future work. 45 Conclusion. 48 Acknowledgments .49 References. 49 CHAPTER 3 Ethics in Al-based online assessment in higher
education. 55 Joana Heil and Dirk Ifenthaler Introduction. 55 The use of AI in online assessment. 55 Artificial intelligence.55 AI in education. 56 AI in assessment. 56 Ethics of AI in online assessment. 59 Ethics. 59 Ethics of educational technology. 59 Ethics of AI. 60 Moral and ethical implications of assessment. 60 Ethics of ΑΙ-based assessment scenarios. 61 Frameworks to mitigate potential ethical risks of ΑΙ-based assessment. 64 Conclusion. 66
References. 67 CHAPTER 4 Ethical aspects of automatic emotion recognition in online learning. 71 Gabriela Moise and Elena S. Nicoarä Introduction. 71 Emotions, affective learning,and ethical implications. 72 Ethical guidelines and frameworks. 74
Contents vii Automatic emotion recognition in education: roles, benefits, and ethical risks. 76 Ethical automatic emotion recognition model for onlinelearning. 81 Case studies and use case. 85 Discussion and conclusions. 88 Acknowledgment. 90 References. 90\ CHAPTER 5 Data-driven educational decision-making model for curriculum optimization. 97 Edis Mekic, Irfan Fetahovic, Kristijan Кик, Brankica Popovic and Petar Cisar Introduction. 97 Decision-making process and AI implementation. 100 The holistic approach to curriculum design and classification.103 Classification methodologies for qualitative indicators.104 Sentiment analysis methodologies for qualitative indicator analysis. 106 Indicators and learning management system (LMS) as technical basis for holistic
approach.108 К-nearest neighbor kNN in strategic budget planning. 109 LinkedIn and Google Scholar Big Data system for support of human resource procedure. Ill Part of the decision-making AI system that raises ethical issues and applicable ethical frameworks. 112 Conclusion. 114 References. 115 PART II Ethical implications of artificial intelligence in autonomous services and systems_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ CHAPTER 6 The ethical issues raised by the use of Artificial Intelligence products for the disabled: an analysis by two disabled people.121 Laura Smith and Peter Smith Introduction.121 Literature review. 122 Methodology. 124
Peter. 124 Peter’s diary.125 Laura. 128 Laura’s diary.128 Discussion and reflection. 130
viii Contents Conclusions. 132 Next steps. 133 References. 133 CHAPTER 7 The implications of ethical perspectives in Al and autonomous systems. 135 Arthur So Introduction. 135 Background. 136 Artificial intelligence trend. 136 The worldview of ethicsassociated with AI systems. 136 Algorithmic ethics.138 What is technoethics?. 139 Methodology. 139 Technoethical inquiry approach. 139 Problem
statement.141 Research questions. 141 Results. 141 The perspectives.141 Efficiency and fairness. 147 Advanced analysis and discussion. 147 Conclusions. 148 References. 149 CHAPTER 8 The ethics of online Al-driven agriculture and food systems. 153 Edmund 0. Benefo, Abani K. Pradhan and Debasmita Patra Introduction. 153 Current trends and future applications of online-based AI in agricultural and food systems. 154 Crop
production.155 Animal production.158 Food processing and related operations.159 Potential ethical risks of AI technological advancements in agriculture and food systems. 161 (Cyber)Security. 161 Privacy. 162 Data ownership. 162 Accountability/responsibility . 163
Contents ix Fairness. 163 Transparency. 164 Preventing and mitigating potential ethical risks of online AI systems in the agri-food sector. 165 Responsible innovation. 165 Conscientious design. 166 Interdisciplinary and multistakeholder engagement. 166 Legislation. 167 Teaching AI ethics. 167 Conclusion. 168 References. 168 CHAPTER 9 Al and grief: a prospective study on the ethical and psychological implications ofdeathbots. 175 Belen Jime'nez-Alonso and Ignacio Bresco' de Luna Continuing bonds, technological mediation, and ethical implications in
grief. 176 Examining the imagined use of deathbots: a prospective study. 179 Phones, Internet, and social networks: a naturalized copresence?. 180 Deathbots: the expectation of response and the authenticity of the relationship. 181 Discussing the potential ethical risks of deathbots. 185 Conclusions: imagining the future of deathbots. 188 Acknowledgments. 189 References. 189 Part III Ethical implications of artificial intelligence models and experiences_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ CHAPTER 10 Pitfalls (and advantages) of sophisticated large language models. 195 Anna Strasser Introduction. 195 Background. 196 Hard to distinguish. 197 Human
discrimination abilities. 197 Discrimination with the help of detection software. 198 Ethical consequences. 199 How to verify authorship. 199 New forms of plagiarism. 200
X Contents Violation of copyright rights and privacy. 200 Counterfeits of people. 201 Spread of misinformation, nonsense, and toxic language. 202 How to handle the epistemological crisis. 203 LLMs as thinking tools. 204 References.205 CHAPTER 11 Perspectives on the ethics of a VR-based empathy experience for educators. 211 Vanessa Camilleri Introduction. 211 Background. 212 Virtual reality.212 The brain and the perception of reality in VR. 213 The proteus effect. 214 VR as an empathy machine. 215
Methods. 216 The application—walking in small shoes. 216 Study design. 217 The design. 218 Ethics, empathy, and emotion. 219 Reflections and discussion. 223 Reflection #1. 223 VR as an empathy machine.223 Reflection #2. 224 Empathy by design. 224 Reflection #3. 225 Insights into ethics and AI in VR-based systems. 225 Conclusion.226
References. 226 CHAPTER 12 Assessing and implementing trustworthy Al across multiple dimensions. 229 Abigail Goldsteen, Ariel Farkash and Michael Hind Introduction. 229 Background. 230 Trustworthy AI. 230 Model risk assessment. 237
Contents xi Methodology.239 Elicitation of requirements. 239 Technical solutions within each pillar of trustworthy AI. 240 AI privacy.246 Combining multiple dimensions of trustworthy AI. 250 Conclusion. 252 Future work. 253 Acknowledgments. . 253 References. 253 CHAPTER 13 Artificial intelligence and basic human needs: the shadow aspects of emerging technology. 259 Tay Keong Tan Introduction: the rise of intelligent machines. 259 Methodology. 260 The fundamental human needs. 261 Emerging AI technologies and
basic human needs.263 Autonomous vehicles and the need for certainty and connection. 264 Facial recognition systems and our human need for variety and significance. 266 AI writing and image generators and their impact on growth and contribution. 269 Early warning of disruption and upheaval. 271 Conclusion—the “Shadow Side” of AI technology. 274 References. 275 CHAPTER 14 Beyond artificial intelligence ethics: exploring empathetic ethical outcomes for artificial intelligence. 279 Hart Cohen and Linda Au Ibach Introduction: artificial intelligence and empathy. 279 Methods. 280 Background to the research. 280 AI ethics regulation.281 Machine/technology.282 Case
studies. 283 Case study 1—empathy in AI: erobotics. 283 Case study 2—empathy, AI and climate change. 284 Case study 3—facial recognition.286 Discussion: empathy in ethics. 287 Conclusion. 289
xii Contents Measuring empathy.289 Krettek’s empathic AI. 290 Further research. 292 References. 292 Further reading. 294 Part IV Ethical implications of artificial intelligence in social and political involvement_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ CHAPTER 15 Who decides what online and beyond: freedom of choice in predictive machine-learning algorithms. 299 Simona Tiribelli Introduction. 299 Freedom of choice: its value and preconditions. 300 Freedom of choice from within moral and sociopolitical philosophy. 301 Freedom of choice revised in contemporary society. 303 Freedom of choice as an ethical-normative value. 305 MLA governance: the rise of “algorithmic choice-architectures”. 307 MLA choice-architectures and freedom of
choice. 310 Epistemological and moral constraints. 310 Securing freedom of choice by design: a call to action. 315 Conclusion. 318 References. 319 CHAPTER 16 The hard problem of the androcentric context of Al: challenges for EU policy agendas. 323 Joshua Alexander Gonzalez-Martin Introduction. 323 Artificial intelligence and gender biases. 324 Engineering context and gender script in AI. 325 Machine learning and gender.327 Gender discrimination, RRI, and European regulation for AI. 329 RRI, gender equality, and AI policies. 330 Principle of nondiscrimination in law. 331 Conclusions. 336
Acknowledgments.337 References. 337 Further reading. 344
Contents xiii CHAPTER 17 Curse of the cyborg mammoths: the use of artificial intelligence in manipulating and mobilizing human emotions. 347 Tay Keong Tan Introduction: the inexorable rise of machines. 347 Background: the primacy of emotions in machine-human interface. 348 Methodology: ethical prognoses of emerging AI applications. 349 Autonomous vehicles. 350 The ethics of autonomous vehicles. 351 Affect recognition technology.353 The ethics of affect recognition technology. 355 Algorithms in social media. 356 The ethics of social media algorithms.359 Concluding remarks: taming of the cyborg mammoths. 361 References.362 CHAPTER 18 On deterring hate speech, while maximizing security and privacy. 365 Sue Spa id Introduction: online hate speech, incivility, rage, and the lack of self-
restraint. 365 Context. 366 The costs associated with free speech: online versus on-land scenarios. 366 The recent spate of texts focused on hate speech’s unintended consequences. 368 Position statement: rethinking social media’s algorithms. 370 Social media algorithms that incite hate speech. 370 Social media algorithms designed to identify and deter hate speech. 371 Programming AI to develop empathy skills. 372 The ethical dilemma at the heart of artificial empathy. 373 How emotion chips boost empathy. 374 Discussion: filling the empathy gap, while boosting empathy. 375 Testing artificial empathy under five ethical approaches. 375 Assessing the emotion chip’s role in curtailing unintended consequences. 377 Establishing ethical review boards to evaluate social medial algorithms. 378
Conclusion. 378 References. 379 Further reading. 381 Index 383 |
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| spelling | Ethics in online AI-based systems risks and opportunities in current technological trends edited by Santi Caballé, Joan Casas-Roma, Jordi Conesa London Elsevier/ Academic Press 2024 xxv, 397 Seiten Illustrationen 24 cm txt rdacontent n rdamedia nc rdacarrier Intelligent Data-Centric Systems Part I. Ethical Implications of Artificial Intelligence in Applications for Education -- Part II. Ethical Implications of Artificial Intelligence in Autonomous Services and Systems -- Part III. Ethical Implications of Artificial Intelligence Models and Experiences -- Part IV. Ethical Implications of Artificial Intelligence in Social and Political Involvement Frameworks to mitigate potential ethical risks of AI-based assessment Echtzeitsystem (DE-588)4131397-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Ethik (DE-588)4015602-3 gnd rswk-swf Artificial intelligence / Moral and ethical aspects (DE-588)4143413-4 Aufsatzsammlung gnd-content Echtzeitsystem (DE-588)4131397-5 s Künstliche Intelligenz (DE-588)4033447-8 s Ethik (DE-588)4015602-3 s DE-604 Caballé, Santi (DE-588)139874003 edt Casas-Roma, Joan (DE-588)1319260772 edt Conesa, Jordi (DE-588)1319260381 edt Digitalisierung BSB München - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035108030&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ethics in online AI-based systems risks and opportunities in current technological trends Part I. Ethical Implications of Artificial Intelligence in Applications for Education -- Part II. Ethical Implications of Artificial Intelligence in Autonomous Services and Systems -- Part III. Ethical Implications of Artificial Intelligence Models and Experiences -- Part IV. Ethical Implications of Artificial Intelligence in Social and Political Involvement Echtzeitsystem (DE-588)4131397-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Ethik (DE-588)4015602-3 gnd |
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| title | Ethics in online AI-based systems risks and opportunities in current technological trends |
| title_auth | Ethics in online AI-based systems risks and opportunities in current technological trends |
| title_exact_search | Ethics in online AI-based systems risks and opportunities in current technological trends |
| title_full | Ethics in online AI-based systems risks and opportunities in current technological trends edited by Santi Caballé, Joan Casas-Roma, Jordi Conesa |
| title_fullStr | Ethics in online AI-based systems risks and opportunities in current technological trends edited by Santi Caballé, Joan Casas-Roma, Jordi Conesa |
| title_full_unstemmed | Ethics in online AI-based systems risks and opportunities in current technological trends edited by Santi Caballé, Joan Casas-Roma, Jordi Conesa |
| title_short | Ethics in online AI-based systems |
| title_sort | ethics in online ai based systems risks and opportunities in current technological trends |
| title_sub | risks and opportunities in current technological trends |
| topic | Echtzeitsystem (DE-588)4131397-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Ethik (DE-588)4015602-3 gnd |
| topic_facet | Echtzeitsystem Künstliche Intelligenz Ethik Aufsatzsammlung |
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