Geneva

Psychosocial risks and mental health at work in the future: Promoting evidence-based policy making

20th American Regional Meeting

Punta Cana

Closing session of the 20th American Regional Meeting

Are doctors more effective when they use AI? Results from an experiment in Indonesia, Kenya and the Netherlands

AI for Good

Are AI jobs driving up demand for STEM education? Yes, but not for women.

Switzerland

This event is organized as part of ITU's <a href="https://aiforgood.itu.int/">AI for Good Series</a>.The integration of artificial intelligence (AI), particularly generative tools like chatbots, into clinical reasoning processes offers new opportunities for enhancing diagnostic decision-making and learning. Yet evidence on the perceived utility of such tools is limited. This session will present the findings of a randomized control study that evaluates whether diagnostic performance was improved by the use of a large language model (LLM) in Indonesia, Kenya and the Netherlands. We will discuss the results of the findings with project team members from across the three countries and at the ILO, as well as discuss perceptions about usage and contextual applicability from the medical practitioners who participated in the study.

This event is organized as part of ITU's <a href="https://aiforgood.itu.int/">AI for Good Series</a>.This seminar presents new evidence on how AI adoption in U.S. labour markets is shaping demand for STEM education. The study highlights rising overall demand, a widening gender gap, and the moderating role of female faculty representation.Paper abstract:&nbsp;This study combines data on degrees awarded across U.S. colleges and universities with data on online job vacancies to examine the impact of AI penetration in local labour markets on the demand for STEM education. The findings show that between 2014 and 2022, AI increased overall demand for STEM education across all racial groups. However, the study also reveals that AI widened the gender gap in STEM, as it drove greater demand and degree growth in male-dominated fields such as engineering, compared to fields with a higher share of female students, such as health sciences. Notably, the analysis finds that in institutions with a higher proportion of female faculty, the impact of AI on the STEM gender gap was mitigated

Live events schedule

Coming up