Understanding both skills and attitudes toward generative AI technology is essential to developing effective training and enablement programs. This session will feature Connie Hwong, Generative AI Communications Manager at Siemens, who is collaborating with the University of Leipzig to create a groundbreaking assessment that evaluates the skills and attitudes of professionals towards generative AI.

The session will explore the development and goals of this assessment project, which seeks to identify correlations between technical expertise and attitudes toward AI adoption, as well as the skills employees may need in the future. By benchmarking these insights across the DACH region, this assessment will guide AI training programs to be more inclusive and effective.

Attendees will learn about the process of building a meaningful skills assessment with university partners, gathering and analyzing user feedback, and leveraging the results to inform a holistic AI enablement strategy that aligns with evolving industry demands.

Key takeaways include:

• Building a comprehensive AI skills and attitude assessment: Insights into collaborating with academic institutions to design an assessment that measures technical skills and openness to generative AI across different levels and roles.
• Using assessment data to shape AI training: Learn how the results will inform AI training for 18 different communications roles, ensuring the content is relevant and supports positive AI adoption.
• Establishing benchmarks for future AI skills: Discover how the assessment data will create benchmarks that can guide generative AI adoption and identify areas where additional support or resources are needed.