Generative AI (Gen AI) is transforming the professional landscape, reshaping how work is done across industries. For associations, this shift holds particular significance. With their role in setting standards, modeling excellence, and supporting diverse members, associations must lead by example in adopting and integrating new technologies.
The key to unlocking Gen AI’s potential lies in equipping staff, volunteer leaders and members with the skills necessary to use it effectively. Yet, merely offering training is not enough. Tracking progress and outcomes in Gen AI skill development is essential to ensure meaningful, measurable results.
Gen AI tools, from text and image generation to advanced data analysis, require a mix of technical know-how and creative application. In associations, this complexity is amplified by the diversity of member needs and organizational structures, such as regional chapters and demographic sections. Without effective systems to track the development of these skills, associations risk training that is disjointed, underutilized, or misaligned with their strategic goals.
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