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Panelists urge governance, AI literacy and attention to energy use as critical to equitable AI adoption
Summary
Columbus Metro Club panelists warned that without governance, education and environmental planning, AI could worsen disparities and strain power grids; they recommended AI literacy, standards and sector‑specific risk frameworks.
Speakers at a Columbus Metro Club forum flagged ethics, governance and environmental impact as central concerns for equitable AI deployment.
Mike Cohn, vice president of network operations at CoverMyMeds, said the next AI revolution risks widening gaps ‘‘if there’s certain parts of the community [that] are not invested in with this type of education.’’ He urged investment in ‘‘AI literacy’’ so users can prompt, audit and quality‑assure model outputs rather than accept them uncritically.
Nicole Jackson, principal AI consultant at Optimum Technology, emphasized governance frameworks such as the NIST AI Risk Management Framework and international standards, and described governance as ‘‘inextricably’’ linked to human understanding. ‘‘When they are not enabled with the right AI literacy… it creates an inherent risk for your organization,’’ she said.
Panelists also discussed environmental impacts. Guru Vasudeva said large AI models and data centers will increase power demand and suggested that nuclear power is one way to reduce carbon intensity and meet future electricity needs. Jackson noted that environmental factors are increasingly incorporated into regulatory frameworks, citing the EU AI Act and comparable Canadian and U.S. guidance.
Education and assessments of human skills were recurring themes. Nathan Craig and other panelists said educators should teach students how to use AI tools thoughtfully rather than merely accept generated outputs. Craig said writing is linked to thinking and that ‘‘AI breaks the link between writing and thought’’ if institutions do not adapt assessment and pedagogy; he described provisional approaches such as oral exams and in‑person assessments to ensure mastery.
On governance and national coordination, panelists referenced ongoing federal efforts. Panelists also warned about disinformation risks from tools that can generate plausible but false text and video, and urged multiple competing AI engines to preserve checks on output quality.
The audience Q&A ranged from writers asking how to preserve craft to questions about environmental mitigation; panelists recommended combining technical standards with human oversight, broad public literacy and infrastructure planning to ensure ethical and equitable adoption.
