U.S. Senator Mark Kelly has launched an initiative titled “AI for America,” outlining a strategic plan to manage the potential impacts of artificial intelligence on the labor market and essential resources such as energy and water. During a virtual panel discussion at Arizona State University (ASU) in Tempe, Kelly, joined by various experts, delved into the proposal’s key elements.
The senator emphasized the importance of prioritizing people amidst technological advancements, drawing parallels to historical innovations such as the creation of electrical grids, lunar missions, and the internet. Kelly highlighted the risks associated with AI developments, which could potentially leave workers without access to well-paying jobs and also place significant demands on infrastructure, particularly utility companies.
To address these challenges, Kelly proposes the establishment of an “AI Horizon Fund.” The fund would be financed by contributions from AI technology companies, intended to support workforce training and necessary investments in energy and water infrastructure. He explained that it is logical for companies benefiting from U.S. infrastructure and ingenuity to reinvest in the foundational systems that facilitated their success.
ASU President Michael Crow, moderating the event, noted the unprecedented dual nature of AI technology as both a disruptor and enabler. He urged the constructive use of AI, recognizing its potential to both challenge and enhance various sectors, including labor and education.
Julie Su, a senior fellow at the Century Foundation and former acting U.S. Secretary of Labor, stressed the importance of improving the livelihood of workers through technology. She advocated for implementing structured protections similar to those established during past technological transformations.
Jason Goldman, the first chief digital officer of the White House and a former executive at major tech firms, reflected on the tech industry’s tendency to overlook societal impacts during innovation booms. He recommended addressing issues proactively rather than reactively.
Kelly suggested that while tech companies may not foresee all outcomes of AI, they can still contribute to workforce training initiatives at institutions like ASU, as well as community colleges and trade unions. He emphasized the need for companies to help fund these training programs rather than relying solely on taxpayers.
Crow advocated for continuous learning opportunities to keep workers adequately equipped for the rapid technological changes. Meanwhile, Su pointed out that companies should not ignore their responsibility toward public resources, like water and energy, heavily utilized by AI data centers.
Goldman concluded by highlighting the potential of AI to assist in resolving the issues it introduces, suggesting that AI systems should be designed with sustainable energy solutions in mind.
Overall, the discussion at ASU underscored a collective desire to guide AI development in a way that balances innovation with social responsibility, ensuring both technological advancement and social equity.