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Holistic, human-centered approach to AI puts U of A in class of its own
The University of Arizona is defining a new standard for how artificial intelligence integrates into higher education and society. By prioritizing ethics, personal responsibility and societal impact over just technical speed, the U of A is building an ecosystem where integrity and human creativity remain the primary drivers of progress.
This holistic, human-centered approach positions the university as a national example in the responsible adoption of AI technology at a modern research university.
The architect of this strategic effort to integrate AI across research, instruction and operations is David Ebert, the U of A’s inaugural chief AI and data science officer – one of only a few such positions in higher education nationally.
U Of A push for responsible AI accelerates as u of a maps campus-wide roadmap
u of a leaders are moving to formalize a campus-wide approach to artificial intelligence that prioritizes ethics, personal responsibility, and societal impact, as of 2: 15 p. m. ET on March 14, 2026. The University of Arizona says the effort is designed to integrate AI across research, instruction, and operations without sacrificing integrity or human creativity. The immediate focus is a comprehensive AI roadmap, planned for release this spring, built from extensive campus input gathered throughout fall 2025.
The University of Arizona is positioning its approach as a “holistic, human-centered” standard for how AI should be adopted inside higher education and across society. The institution’s stated goal is not simply faster technical deployment, but an ecosystem where human judgment remains central and AI supports, rather than replaces, human progress.
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Residential proximity to agricultural pesticide exposures during preconception and pregnancy and associations with Apgar scores in the Az-PEAR study (2006–2020)
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Pesticide exposures disrupt biological functions in humans, raising concerns about potential effects on newborn health and development.
To analyze associations of preconception and prenatal exposures to carbamate, organophosphate, and pyrethroid pesticide classes and 25 individual active ingredients with newborn Apgar scores to evaluate the relationship between these exposures and neonatal health.
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