Humanein the Loop
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07

AI power should be balanced in society

Current path

AI power concentrates in a handful of firms with unprecedented influence over markets, public discourse, and policy. Open alternatives are starved of capital and compute. Democratic institutions struggle to hold AI firms accountable.

Better future

AI power is distributed across a healthy ecosystem of commercial, open-source, public, and cooperative actors. Antitrust and competition policy apply. Democratic institutions retain capacity to govern.

Drift across the three domains

Norms

▼
Regressing54 signals
CHT recommends
  • Treat AI market concentration as a competition and democratic concern.
  • Sustain substantive public debate on open vs closed AI beyond either-side capture.
Indicators we track
  • 7.N.aAntitrust and competition discourse applied to AI
  • 7.N.bOpen-source vs closed-source debate
  • 7.N.cConcerns about democratic capture

Laws

▲
Advancing42 signals
CHT recommends
  • Apply antitrust and competition rules to AI markets.
  • Mandate interoperability and data portability.
  • Fund public-option AI and sovereign compute alternatives.
  • Restrict political use of AI (deepfakes, AI-generated campaign speech).
Indicators we track
  • 7.L.aAntitrust action against AI market concentration
  • 7.L.bInteroperability and data portability mandates
  • 7.L.cPublic-option AI and sovereign compute funding
  • 7.L.dRestrictions on political uses of AI

Design

▼
Regressing56 signals
CHT recommends
  • Support responsible open-weights releases of capable models.
  • Invest in decentralized and federated architectures.
  • Provide fair API access to closed models for third-party developers.
Indicators we track
  • 7.D.aOpen-source model releases
  • 7.D.bDecentralized and federated architectures
  • 7.D.cThird-party access to closed models

Recent signals

▲AdvancingNorms · 7.N.bGLOBALOct 13, 2026

Open models have real benefits. Do they outweigh the risks?

MIT Technology Review examines whether open AI models' benefits outweigh their security risks, citing Anthropic's report flagging GLM-5.3 as a major cyberattack risk, surfacing substantive public debate where neither side monopolizes the framing.

WhyMIT Tech Review balanced open-model safety piece citing Anthropic GLM-5.3 cyberattack report; substantive debate, neither side dominates.Open-source vs closed-source debate
▲AdvancingLaws · 7.L.aUSOct 2, 2026

Court Sides with Attorney General Bonta in RealPage Case, Denies RealPage and Landlords' Attempt to Evade Responsibility in Rent Pricing Lawsuit

A California court sided with AG Bonta in the RealPage algorithmic rent-pricing antitrust case, denying RealPage and landlords' motion to evade responsibility and allowing the lawsuit to proceed.

WhyCA court denies RealPage & landlords' dismissal bid in algorithmic rent-pricing antitrust suit; case proceeds.Antitrust action against AI market concentration
▲AdvancingNorms · 7.N.cGLOBALSep 30, 2026

How the bad science of AI doomerism is good for big business

AI Now Institute's Boyan Milanov argues AI doomerism narratives lack scientific grounding and that industry calls for self-regulation are attempts by AI companies to set their own standards, surfacing concerns about AI regulatory capture.

WhyAI Now surfaces how doomerism narrative serves industry's regulatory capture agenda, scrutinizing AI firm policy influenceConcerns about democratic capture