How is gender considered – or overlooked- in AI driven disaster response?

1. Introduction 1.1 Background of AI in Disaster Response 1.2 Importance of Gender Consideration 1.3 Research Objectives and Questions 2. Literature Review 2.1 Overview of Current Research 2.2 Gender in Technology Discourse 2.3 Gaps in Existing Literature 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Data Analysis Techniques 4. Gender in AI Frameworks 4.1 Gender Bias in Algorithms 4.2 Impact of Data Representation 4.3 Case Studies of Gendered Impact 5. AI Driven Disaster Response 5.1 Current Use Cases 5.2 Benefits and Limitations 5.3 Integration with Existing Systems 6. Gender Considerations in Policy 6.1 Policy Development Practices 6.2 Role of Gender in Policy Making 6.3 Challenges in Implementation 7. Case Studies 7.1 Successful Incorporation of Gender 7.2 Gender Overlook in Previous Disasters 7.3 Lessons Learned and Best Practices 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Recommendations for Policy and Practice 8.3 Suggestions for Future Research