The Lithuanian Science Council (LMT) has announced that it will utilize artificial intelligence (AI) in its expert selection process for the first time, aiming to improve the efficiency and objectivity of evaluations. The expert selection is noted as one of the most complex and sensitive stages of assessment, traditionally taking about a month or longer to complete. This innovation comes as a response to the intricate nature of the process and associated risks, signaling a noteworthy shift in how expertise is evaluated in the scientific community.

According to LMT Chairman Gintaras Valinčius, the integration of AI is designed to minimize the risks of subjectivity and human error, which can affect the selection of experts significantly. He emphasizes the importance of establishing clear, verifiable, and consistently applied criteria in the expert selection, which will enhance the trust in the science funding system. The move towards a more data-driven and responsible decision-making approach highlights the potential of technology in streamlining rigorous processes within academic and scientific evaluation.

Incorporating AI into the Internet of Things (IoT) also raises questions about the new normal in scientific assessment and how technology can improve accountability in funding decisions. By testing AI solutions, the LMT aims to strengthen the validity of its decision-making processes, ensuring that assessments are based on objective data rather than subjective opinions. This strategic move underlines the LMT's commitment to fostering an evidence-based decision-making culture in science funding, aligning with broader trends in utilizing technology for enhanced governance and administration in research.