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1. Introduction 2. Overview of Artificial Intelligence 2.1 Definition and Scope of AI 2.2 Historical Development of AI 2.3 Current Trends in AI Technology 3. Ethics in Artificial Intelligence 3.1 Fundamental Principles of AI Ethics 3.2 Ethical Challenges in AI Development 3.3 Case Studies on AI Ethical Failures 4. Software Development Practices 4.1 Traditional vs. Agile Practices 4.2 Modern Software Development Models 4.3 Role of Automation in Development 4.4 Continuous Integration and Deployment 5. Integration of AI in Software Development 5.1 AI Tools and Platforms 5.2 Challenges of AI Integration 5.3 Successful AI Integration Examples 6. Ethical Implications on Development Practices 6.1 Privacy Concerns in Software Practices 6.2 Bias and Transparency in AI Systems 6.3 Regulatory Compliance and Governance 7. Case Studies 7.1 Industry-Specific AI Implementation 7.2 Lessons Learned from Ethical Breaches 7.3 Analysis of Successful AI Ethics 8. Future Directions and Recommendations 8.1 Emerging Trends in AI Ethics 8.2 Best Practices for Ethical AI Development 8.3 Policy Recommendations for the Industry
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