Technology is currently transforming the economy faster than established institutions and societal choices can keep pace. Decisions made now regarding ethics, training, and governance will ultimately determine who benefits from these advancements and "who gets pushed aside".
In a recent episode of The Fulcrum Roundtable, Kevin Frazier, a collaborator with The Fulcrum, discussed two of his articles: Build Better AI and Layoff Headlines Keep Coming, Policy Answers Don't. Here’s One Solution.
The senior fellow at the Abundance Institute and director of the AI Innovation and Law Program at the University of Texas School of Law—emphasized that the future of responsible artificial intelligence requires moving beyond corporate mission statements toward active public participation and localized policy solutions.
- YouTube youtu.be
Frazier noted that while major AI labs like Google, Meta, Anthropic, and OpenAI often pledge to "harness the positive attributes" of AI while "mitigating the negative," such aspirational statements are often common sense—or "duh"—principles that lack specificity. He argued that society must be far more specific about identifying concrete "red lines" and specific positive use cases to prevent a purely reactive posture. Building responsible AI "demands far more than aspirational mission statements".
To achieve this, Frazier recommended a three-pronged approach for citizens to help shape the path forward. First, individuals should actively experiment with AI tools for "pro-social" tasks—such as article translation or researching diverse perspectives on voting issues—to understand their capabilities. Second, users should transparently "share when those use cases go right and share when those use cases go wrong" to help popularize tools that align with community values. Finally, Frazier urged political engagement, noting that since late 2022, over 1,700 AI-related bills have been introduced at the state level. He encouraged citizens to contact state representatives and city council members to help shape early-stage policy.
The transition to an AI-driven economy presents significant risks of "rocky" transition periods. While economists predict aggregate long-term job growth, the timing, location, and nature of these new roles remain uncertain, potentially leaving entire communities behind. Frazier criticized current retraining efforts, such as the Workforce Innovation and Opportunity Act (WIOA), as being underfunded, fragmented, and lacking coordination. He specifically highlighted poor metrics that prioritize the speed of re-employment over job quality, which can push laid-off workers into new roles that remain highly vulnerable to AI displacement. He proposed "transition launchpads"—local hubs where displaced workers can receive training based on the specific demands of local employers.
Frazier also warned of an emerging "AI abyss" that could widen existing digital divides. He identified several groups at risk: those in rural and urban poor communities without affordable high-speed broadband; older Americans, as recent polling indicates a plurality of Boomers and the Silent Generation have not meaningfully engaged with AI; and non-English speakers, as many AI models "may not be as capable" when prompted in other languages.
Drawing a historical parallel to the 1930s Rural Electrification Administration and its "electrical circus," Frazier suggested using trusted local messengers—such as public librarians, teachers, and civic leaders—to demonstrate responsible AI use and protect community members from scams.
I invite you to spend some time reading his articles by clicking HERE.
Hugo Balta is the executive editor of The Fulcrum and the publisher of the Latino News Network.