Artificial Intelligence in Science and Society: The Vision of Usern

— Artificial Intelligence (AI) technologies have developed and spread rapidly, which has had a huge effect on scientific research as well as modern society. AI-based systems are now an important part of many areas, including healthcare, education, engineering, economics, environmental science, and public policy. With more computing power, access to big data and more complex algorithms, AI applications are becoming more independent, more flexible and more useful. As AI is developing so rapidly, we need to consider its long-term effects in a broad and cross-disciplinary manner. The Universal Scientific Education and Research Network (USERN) is an international group that promotes interdisciplinary science, education and science policy across borders. Its Advisory Board members and leading AI experts have developed a shared vision for how to evaluate the role of AI in shaping the future of science and society. This review begins by addressing a key problem with AI discourse: the lack of clear and widely agreed upon definitions of intelligence and consciousness. Lack of clear concepts often results in confusion and misunderstanding in academic, technological, and policy contexts when it comes to artificial intelligence. The work aims at building a shared conceptual framework that distinguishes human intelligence from artificial systems, at the same time acknowledging the functional capabilities of machine learning and reasoning, and revisiting philosophical, cognitive and computational perspectives.After establishing this conceptual background, the review provides an overview of the best AI technologies available today. This includes things such as deep learning, natural language processing, computer vision, machine learning and systems that can work on their own. These technologies have shown amazing capabilities in pattern recognitions, predictions, helping people in making decisions and automating tasks. Incorporating them into scientific research has sped up data analysis, improved experimental design, increased simulations and enabled discoveries that were not possible before. AI is more than a tool; it is a partner in research across many fields.The discussion then shifts to the bigger picture of how AI is being used in different scientific fields. AI helps doctors diagnose patients and discover new medicines. In environmental science, it assists in climate modelling and planning for sustainability. In social sciences, it helps in large scale behavioural analysis. In engineering, it adds to complex systems. But these opportunities come with big risks and problems. Algorithmic bias, lack of transparency, data privacy concerns, job loss, and unequal access to AI resources around the world are all issues that highlight the significance of ethical governance and responsible innovation.Finally, this review discusses the possible risks that AI systems pose to society, such as misuse, over-reliance, spreading false information, and losing moral standards. It proposes strategic approaches to mitigate AI risks, including cross-field collaboration, global policy frameworks that are inclusive, algorithmic transparency, accountability, and public participation in AI governance. By fostering international cooperation and integrating ethical considerations into technological progress, AI can be harnessed to maximise social benefit and minimise harm.In conclusion, USERN’s vision emphasises that the future of AI should not be based solely on technical advancement, but rather on a balanced combination of scientific excellence, ethical responsibility, and policy development that includes all. We need a comprehensive, interdisciplinary and globally coordinated approach to ensure that the advances of AI benefit humanity, accelerate scientific discovery and have a positive impact on long-term social development