Proposal Description

Artificial intelligence is transforming how data are analyzed, communicated, and used in decision-making. AI-powered tools can help users access statistical information more easily, automate analytical tasks, and generate insights at unprecedented speed. At the same time, these developments raise important questions about data quality, uncertainty, bias, transparency, interpretation, and trust.

In this session, experts in statistical literacy and statistics education will explore the evolving relationship between statistical literacy and AI. The discussion will examine both the opportunities and challenges that AI presents for individuals who produce, communicate, interpret, and use statistics in their professional roles.

As AI increasingly mediates access to information, the ability to critically evaluate data, understand statistical reasoning, recognize limitations, and question automated outputs becomes more important—not less. Statistical literacy remains a fundamental skill for navigating an information environment shaped by algorithms, predictive models, and generative AI systems.

Through presentations and discussion, speakers will share perspectives on how statistical, data, and critical literacy can support responsible and informed use of AI, and how educators, statistical organizations, and data professionals can help strengthen these competencies across society.

The session aims to:

· Highlight the continuing importance of statistical literacy in the age of AI.

· Explore how AI is changing the ways statistics are communicated, interpreted, and used.

· Discuss opportunities for AI to support statistical learning, communication, and decision-making.

· Examine risks related to misinformation, bias, overreliance on automated outputs, and misunderstanding of statistical evidence.

· Promote the integration of statistical, data, and critical literacy skills as essential competencies for the future.

· Foster dialogue among statisticians, educators, communicators, and data users on how to build informed and critical engagement with AI-generated information.