The Aged Intelligence Society, co-founded by Berger and Willdorf, is a community that brings together accomplished women to explore artificial-intelligence tools. According to Berger, the group was created because its members felt under-qualified in AI despite their professional success. The organization’s mission is to turn that uncertainty into practical fluency, allowing participants to test technologies that can ease the burdens of midlife responsibilities.
Willdorf explained that events are deliberately kept to eight-twelve attendees to preserve intimacy and avoid chaos. Each session blends participants from nonprofit, design, parenting, corporate leadership and philanthropy, creating a “magical mix” of perspectives. This composition, she said, encourages cross-disciplinary learning and ensures that no single background dominates the conversation.
During a recent workshop, a participant brought a 300-page insurance packet concerning her mother’s Alzheimer’s care. She fed the document to an AI model, which confirmed eligibility and offered to draft an appeal letter. In another case, Berger used Claude to revise a consulting proposal, receiving a recommendation to double her fee, which the client accepted without objection. These anecdotes illustrate how the society showcases AI’s capacity to handle time-intensive, value-adding tasks.
The group deliberately steers clear of dystopian narratives. Berger noted that while members sometimes feel threatened by AI, the gatherings focus on gaining fluency, experimenting with tools, and reducing administrative load rather than debating existential risks. This pragmatic stance aims to build confidence without amplifying fear, positioning AI as a utility rather than a looming menace.
Aged Intelligence Society targets women over forty because founders believe that decades of experience sharpen questioning skills and “bullshit meters.” They argue that this cohort possesses the discernment needed to probe AI outputs critically, unlike younger users who may lack comparable life-tested judgment. The society therefore positions its platform as a tool built for seasoned professionals seeking to reclaim hours lost to domestic and caregiving duties.
Since its inception, the society has maintained a waiting list for new members. Selection hinges on maintaining the optimal group size and ensuring a diverse mix of occupations, as Willdorf explained. Prospective attendees are evaluated on how their background might contribute to the collaborative environment, preserving the intimate, interdisciplinary dynamic that the founders deem essential for effective AI learning.