This session will explore the critical ethical considerations surrounding the usage of Artificial Intelligence (AI) in research and development across various sectors. As AI technologies rapidly evolve, they bring forth numerous ethical dilemmas, including issues of bias, transparency, accountability, and privacy. I will engage participants in an insightful discussion on how to navigate these challenges effectively, examining real-world case studies that highlight both the potential benefits and risks associated with AI applications, particularly in sensitive areas such as healthcare, education, and social sciences.

By fostering an open dialogue, I aim to identify best practices for ethical AI usage, including the development of robust frameworks and guidelines that ensure responsible innovation. Participants will be encouraged to share their perspectives and experiences, promoting collaborative solutions that enhance ethical standards in AI research. This session aspires to empower researchers, developers, and policymakers with the knowledge and tools necessary to responsibly leverage AI while upholding ethical principles. Attendees will leave with actionable insights that promote integrity, equity, and sustainability in AI-driven research and development.