AI Social Responsibility Perspectives & Its Use in Sciences - Where Scientific Advancement Meets Ethical Responsibility

Description

Artificial Intelligence is no longer a peripheral tool in scientific research it is becoming embedded in how data is analyzed, decisions are made, and discoveries are validated. As its influence grows, so does the risk that accountability, fairness, and ethical use are treated as an afterthought rather than a design principle. Left unexamined, these gaps can erode research integrity, introduce bias into scientific outcomes, and weaken public trust in the institutions that use AI. This topic matters because the choices made today about how AI is governed in scientific settings will shape whether its benefits are realized responsibly or at the expense of fairness and accountability. This webinar equips undergraduates, postgraduates, professionals, and researchers with a critical understanding of where scientific advancement and ethical responsibility intersect knowledge that is increasingly essential as AI adoption accelerates across every field of scientific inquiry.