Environmental Stewardship and Systemic Responsibility

AI financial systems should minimize unnecessary environmental impact or systemic financial risk and operate efficiently relative to the value delivered to their consumers.

Limiting Systemic Financial Risk

• The entity that offers the product monitors systemic financial market trends that may be influenced by the scale, adoption rate, and collateral impacts of the product.
  • The entity acknowledges the role its product plays in influencing financial markets and takes reasonable steps to mitigate risks.
  • The entity monitors the use of its product for suspicious patterns of activity and potential indicators of illegal financial practices.
  • The entity monitors agentic decision-making for systematic inferential errors (e.g., consensus failures driven by feedback loops, amplifying reflexive market narratives, etc.) that could distort market analyses at scale.

Owning Economic Externalities

• The entity offering the product considers labor impacts and works to support just labor transitions.
  • The entity does not advertise its products as a direct one-for-one replacement of human workers.
  • The entity offers explicit guides and procedures for its product to be used in conjunction with existing workers.
• The entity offering the product has evaluated and considered the impact its product might have on the prices of other financial instruments and has ensured those changes benefit the consumer.
  • Cost savings are tracked by the entity and transparently shown to reduce management fees or other costs to the consumer.
  • The entity does not offer products that use AI-derived insights to engage in price gouging or otherwise dynamically overcharge consumers.

Environmental Governance

• The entity that offers the product transparently shares its climate impacts and shows a commitment to reducing environmental harms, including factors that might affect communities it is based in.
  • The entity is clear about its products’ and services’ climate impact and effect on communities in its vicinity, and it publishes related impact assessments.
  • The entity discloses the impact of climate change and the product’s environmental impact in its financial statements.
  • The entity ensures that investors of all sizes have access to data about corporate and portfolio-level climate risk.
  • The entity shares its climate-related risk management, strategy, and governance, including measures to minimize harms to and improve associated health outcomes for surrounding communities.
  • The entity develops and discloses benchmark targets and transition plans to achieve those targets.
• The entity that offers the product discloses sufficient environmental information to enable independent calculation of its ecological impacts.
  • The entity captures water, emissions, energy, and waste information rigorously, retains this information internally, and has made improvements on this basis.
  • The entity discloses sufficient information necessary to determine the energy and emissions impacts of the product.
  • The entity discloses sufficient information to determine the water impacts of the product.
  • The entity discloses sufficient information to determine the waste impacts of the product.
  • The entity discloses sufficient information for model efficiency to be assessed externally.
  • The entity discloses sufficient information to determine whether its product, data centers, and infrastructure, or other related factors, contribute to adverse effects on the communities where it is physically located.
  • The entity has not violated any local, federal, or state environmental laws.

Model Efficiency

• The entity measures and discloses the computational energy requirements of the product’s architecture, and takes documented steps to minimize unnecessary energy consumption relative to the value delivered.
  • The entity that offers the product has documented criteria for determining when generative vs. predictive approaches are used and applies those criteria consistently.
  • The entity publicly documents measurements of energy consumption per query and benchmarks them against those of comparable products or industry standards.
  • Where applicable, the product attempts to reduce the size and complexity of generative calls required to answer factual or domain-specific prompts.
  • Where power usage effectiveness data is available for the data centers used, it is factored into the entity’s efficiency calculations and reported in disclosures.