Exploring Accountability in AI-Driven Decision Making within International Business Management Contexts

1. Introduction 1.1 Background of AI in Business 1.2 Importance of Accountability 1.3 Objectives and Research Questions 1.4 Structure of the Study 2. Literature Review 2.1 AI Technologies in Business Management 2.2 Defining Accountability in AI 2.3 Current Debates and Perspectives 3. Methodology 3.1 Research Design 3.2 Data Collection Techniques 3.3 Data Analysis Methods 3.4 Limitations of the Study 4. AI Decision-Making Processes 4.1 AI Algorithms and Systems 4.2 Decision-Making Models 4.3 Human-AI Interaction Dynamics 5. Accountability Framework 5.1 Responsibility Allocation 5.2 Ethical Considerations 5.3 Legal and Regulatory Contexts 6. Case Studies in International Business 6.1 Successful Implementations 6.2 Accountability Challenges 6.3 Lessons Learned 7. Impact of Accountability on Businesses 7.1 Organizational Performance 7.2 Ethical Business Practices 7.3 Stakeholder Trust and Reputation 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Recommendations for Practice 8.3 Future Research Directions