How has your learning, and/or feedback influenced your thinking about the direction your project is taking?
- Understanding of Human Psychology:Incorporating insights from psychology can enhance the accuracy and relevance of your sentiment analysis.
- GDPR and AI Act Compliance:The project should prioritize data privacy, and compliance with these regulations will be a crucial aspect.
- AI Ethics Insights: Courses on AI ethics provide a solid foundation for understanding the ethical challenges associated with using AI in the financial sector. This knowledge will guide in addressing algorithmic bias, transparency, and accountability issues in your sentiment analysis models.
- Service Design Principles: Insights from service design courses can be integrated to enhance the user experience of your AI-generated recommendations.
To integrate literature into your project plan:
- Literature Review: Conduct a comprehensive literature review on the intersection of AI, sentiment analysis, and financial markets. Explore existing studies on ethical considerations in AI applications, especially in the financial domain.
- Incorporate Frameworks: Use frameworks from GDPR, AI ethics, and relevant regulations as a guide in the development and implementation of the project. Ensure that the project aligns with established ethical principles and legal requirements.
- Service Design Guidelines: Apply service design principles to create user interfaces that prioritize clarity, transparency, and ease of use. Consider user feedback and iterate on the design based on usability studies.
- Continuous Learning: Stay updated on the latest research and developments in AI ethics, sentiment analysis, and financial technology. Incorporate new insights into the project to ensure its relevance and responsiveness to evolving ethical standards.
