In this session, we explored:
- Ethical challenges AI poses in research, including privacy, data ownership, and informed consent.
- Potential biases in AI algorithms and how to mitigate them for fair research practices.
- The importance of transparency and accountability in AI-driven research.
- Global best practices and actionable frameworks for ethical AI use in marketing and social research.
- The role of cross-sector collaboration in promoting ethical AI.