AI Strategic Plan Comments

The ASA Board of Directors has completed a structured strategic planning process to define the ASA's role in the AI era. The draft plan has three strategic priorities with objectives the Board has committed to pursuing. The ASA Board invites the ASA community to provide input before final ratification at JSM 2026.

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Draft objective: By December 31, 2026, the ASA will identify priority stakeholders across policy, industry, funding, and the scientific community and launch targeted engagement and advocacy campaigns, anchored in the message that AI cannot be developed or deployed responsibly without statistical expertise, as measured by the number of stakeholder engagements, media placements and impressions, formal partnerships or coalitions established, and ASA presence in AI governance and standards conversations.

Draft objective: By JSM 2027, the ASA will develop and disseminate a white paper on statistics curriculum for the AI era, offering concrete recommendations for preparing undergraduate and graduate students for leadership roles in the ethical advancement and use of AI across academe, industry, and government, and will launch an accompanying outreach effort to encourage curriculum modifications consistent with its recommendations, as measured by dissemination reach, the number of departments reporting curriculum modifications consistent with the recommendations, and integration into ASA education and professional development programs.

Draft objective: By JSM 2027, the ASA will take deliberate steps to shape the culture and practice of the statistics profession in the AI era, including how the ASA recognizes valuable contributions, communicates the profession's identity, and supports members' confidence and sense of purpose, while expanding professional development offerings developed in collaboration with statistical leaders in AI, as measured by the breadth and participation in new professional development offerings, member surveys on professional confidence and identity, and observable changes in ASA publications, awards, and public communications that reflect the profession's evolving identity in the AI era.