Who We Serve

Who are all the players impacted by Artificial Intelligence?

AI Ecosystem Organizations

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  • What they do well: Many groups publish research, guidance, and model policies. Some run watchdog campaigns or offer outside reviews (independent audits). A few convene cross-sector discussions.
  • What’s missing: Many of these organizations have never met. Work that crosses organizations and borders often has no budget and no owner. And the public rarely hears about the work at all.
  • Coverage is uneven. Some Impact Areas have dozens of organizations working on them, others only a handful. We work to make those gaps visible and to help fill them.
  • Pattern: A handful of multipurpose Ecosystem Organizations touch many objectives, while many stay narrowly focused.
  • Result: Great ideas exist, but they don’t move together in one direction. There’s duplication in some areas and empty space in others.

Organizations

(Companies, Public Agencies, Nonprofits, Schools)
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  • What they face: Many frameworks, few clear starting points with no single route to “done”. Teams are short on time and staff.  It’s hard to turn principles into daily practice across purchasing, data protection, safety testing, and reporting.
  • Timing risk. Regulations and public expectations are moving faster than internal governance, leaving teams exposed on privacy, provenance, bias, labor impacts, and environmental intensity.
  • Pain points:
    • Policies exist, but no easy path to adopt them.
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    • “Are we doing this right?” is hard to prove to leaders, regulators, and the public.
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    • Environmental reporting for artificial-intelligence projects is confusing or missing.

People

(Workers, Educators, Students, Communities)

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  • Experience is inconsistent. Rules and rights are unclear. Protections for privacy, transparency, accessibility, and recourse vary widely.
  • Literacy & trust gaps. Trust is shaken by hype and misinformation, controls and benefits are unclear.
  • Transition pain. Reskilling, safety nets, and clear pathways to unique human roles are patchy and under-served.
  • Environmental opacity. Communities do not see clear, local and global information about artificial-intelligence water, energy, material use and pollution/environmental impact, or about benefits that reach them.

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