Ethics of the AI Economy: A System View from the Positions of the Theory of Stakeholders (Ethical Economy)

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Ethics of the AI Economy: A System View from the Positions of the Theory of Stakeholders (Ethical Economy)

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Full Description

This book discusses the ethics of the AI economy. Its object of study is a new type of economic system in which economic activities are conducted with the active use of AI technologies. It reconsiders this modern use of AI from the standpoint of ethics and sustainable development. It then systematizes the ethical problems of the AI economy from the positions of its stakeholders, including the automatization of HR management and corporate management, the stability of the labour market, the digital gap, and the influence of collection of big data on the quality of life.

Sectors of the AI economy discussed include e-commerce, FinTech, MedTech, EdTech, and GovTech, EnergyTech, and AgroTech. The scope of regions discussed is international, with particular attention paid to Central Asia, the Eurasian Economic Union (EAEU), and BRICS+. This book is of interest to any scholar studying AI, modern economics, and business ethicists studying the use of AI in the economy. It offers readers solutions to various ethical problems of AI, on the one hand, and possibilities for improving the ethics of automatization and digitalization with the help of AI, on the other hand. 

Contents

Introduction.- Part I. Cyber Threats from the Use of Neural Networks as Ethical Challenges of the AI Economy.- Chapter 1. Ethical Model of Organisation of the Smart City System in the AI Economy with Complex Consideration of Interested Parties' Views.- Chapter 2. Ethical Approach to Innovations Management in the AI Economy with Balanced Compliance with Stakeholders' Interests.- Chapter 3.Quality of Life as an Ethical Criterion of the Development of the AI Economy From the Position of the Theory of Stakeholders.- Chapter 4. Ethics of Digital Personnel Management in the AI Economy with Systemic Consideration of Interested Parties' Views.- Chapter 5. Cyber Fraud as a Threat to Economic Security.- Chapter 6. Applying a Neural Network Algorithm to Detect ChatGPT-Generated Text within Management Document Repositories as a Tool to Enhance the Efficiency of Decision Support Systems.- Chapter 7. On the Problem of Combating Cyberterrorism and Cyber-Extremism through the Use of Profiling Technologies and Artificial Intelligence Algorithms.- Chapter 8. Cybercrime in the Digital Age: Global Trends and Emerging Threats.- Chapter 9. Features of Armenia's Digitalization Strategy Implementation in the Context of the Government's Digital Transformation.- Part II. Ethical Aspects of Social Adaptation and Human Communication in the AI Economy for Its Sustainable Development.- Chapter 10. Robust Clustering Algorithms in Solving the Problem of Predicting the Behavior of Russian Language Learners.- Chapter 11. Advanced Applications of LLMs in Marketing During the Purchase Stage.- Chapter 12. Methodological Principles of Public Opinion Analysis in the Information Society: Socio-Educational Dimensions and Sociological Practices in Studying Color as a Social Marker of Commercial Enterprises.- Chapter 13. The Transformation of Human Identity with the Development of Artificial Intelligence.- Chapter 14. Identity in the Digital Age: Artificial Intelligence and Institutional Changes.- Chapter 15. The Path of Digital Transformation of the Development of the Russian Far East and Economic Cooperation with China in the Perspective of International Political Economy .- Chapter 16. Social Implications of Digitalization.- Chapter 17. The Digital Transformation of Diplomacy: Balancing Innovation and Risks.- Chapter 18. Argumentation and Artificial Intelligence in Intercultural Communication.- Part III. The Ethics of Machine Learning in the AI Economy from the Perspective of Stakeholder Theory.- Chapter 19. Problems and Contradictions of the Introduction of AI Systems into Contemporary Pedagogy.- Chapter 20. The Boundaries of the Applicability of Artificial Intelligence.- Chapter 21. The Dialectic of Artificial and Natural Intelligence in the Context of Digital Civilization.- Chapter 22. Methods of Annotating Russian Spoken Speech Using Large Language Models.- Chapter 23. Artificial Intelligence in Studying Russian and Chinese Space Terms.- Chapter 24. Punch Above Your Weight: Can Artificial Intelligence Read and Interpret Allegorical Texts (on the Material of Russian Proverbs About Education).- Chapter 25. Transformer Neural Network Models in the Creation of Typhlocomments and Captions to Images.- Chapter 26. Artificial Intelligence in Working with Legal Texts.- Chapter 27. The Role of Machine Translation and Human Expertise in Business Text Translation.- Part IV. Ethical Boundaries of Smart Automation in the State Regulation of the AI Economy.- Chapter 28. Mechanisms of Artificial Intelligence in Implementing Innovative Policy within the Sustainable Development Framework of the Kyrgyz Republic.- Chapter 29. Artificial Intelligence Technologies as a Catalyst for the Sustainable Development of Russia's Economy.- Chapter 30. Problems and Prospects for Applying Artificial Intelligence Technologies in the Field of Technological Leadership Policy.- Chapter 31. Economic Development of Leading Industries in the Kyrgyz Republic by Disseminating Artificial Intelligence and the Evaluation of This Development.- Chapter 32. Artificial Intelligence as A Key Avenue for the Sustainable Economic Development of the Kyrgyz Republic's Industrial Sector.- Chapter 33. Artificial Intelligence as an Innovative Trend in the Digital Transformation of Business Processes in Enterprises.- Chapter 34. Comparative Analysis and Application of Digital Governance Potential in the Republic of Armenia.- Chapter 35. Personalization of Customer Service in Retail Banking by Using Artificial Intelligence.- Chapter 36. Exploring Patterns in E-Government Development: A Multivariate Approach.- Chapter 37. Conclusion.

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