Responsible AI: Fostering Ethical and Inclusive Information Ecosystems

Abstract

Six interdisciplinary researchers will present their past and ongoing research projects with diverse and vulnerable communities, demonstrating the significance, innovative methodologies, and outcomes of designing and developing AI systems responsibly. Panelists' research at the intersection of Generative AI, algorithms, trust, ethics, values, bias, privacy, accountability, transparency, information equity, and diversity will spark a thought-provoking and meaningful discussion among attendees. The panelists will share the relevant challenges, risks, precautions, and solutions (e.g., top-down and bottom-up strategies, novel methods, incremental vs. revolutionary practices). They will encourage attendees to reflect on their perspectives and experiences on the topics, including but not limited to the roles of stakeholders (e.g., technology vendors developing AI systems, governments) in designing and developing responsible AI systems and subsequent theoretical and practical implications for individuals (e.g., journalists, information professionals, rural youth, university students), organizations (e.g., fintech, hospitals, schools, libraries, universities, United Nations), and society (e.g., developed and developing countries).