As Artificial Intelligence (AI) continues to reshape industries and societies, a critical examination of the ethical dimensions surrounding its development becomes imperative. This talk delves into the multifaceted landscape of ethical considerations within AI, aiming to guide developers, researchers, and industry stakeholders towards global responsible innovation. The first part of the discussion explores key ethical challenges, including bias in algorithms, data privacy concerns, and the societal impact of AI technologies. Drawing on real-world examples and case studies, the talk illuminates the complexities of navigating these ethical quandaries and underscores the importance of a holistic, inclusive approach to AI development. In the second part, the talk proposes practical strategies and frameworks for integrating ethical considerations into the AI lifecycle for Global development. Emphasizing the significance of interdisciplinary collaboration, transparency, and user involvement, the discussion provides actionable insights for cultivating a culture of responsibility in the AI community. Attendees will gain valuable perspectives on fostering ethical awareness, aligning AI initiatives with societal values, and contributing to the evolution of a more ethically sound and sustainable AI landscape.
