In 2024, data centers consumed about 415 TWh of electricity worldwide — ~1.5% of global power demand.
What is the Responsible AI Policy?
This policy defines the 5 core criteria—Rate Limiting, Model Audits, Human-in-the-Loop, Red Teaming, and Data Transparency—used to calculate the Responsibility Score and certify domains.
All claims are verified with sources. Every fact includes methodology and verification dates.
Audit criteria are objective and publicly documented. All organizations are evaluated equally.
Promoting practices that reduce environmental impact and ensure long-term viability.
Organizations are evaluated on five key areas. A score of 60 or higher qualifies for the badge.
Implementing rate limits to control compute usage and prevent runaway costs.
Tips to meet this criterion:
Regular audits of AI outputs for bias, accuracy, and quality issues.
Tips to meet this criterion:
Human review for critical or high-stakes AI decisions.
Tips to meet this criterion:
Testing AI systems for vulnerabilities and failure modes.
Tips to meet this criterion:
Transparent data practices with minimal PII and no unnecessary sharing.
Tips to meet this criterion:
Complete the audit form
Answer questions about your AI usage, data practices, and responsibility measures.
Receive your score
Get an automatic score based on the criteria above. Minimum 60 points for eligibility.
Display your badge
Eligible organizations receive embed code for their website plus a React component.
Start your free audit and find out if you qualify for the Responsible AI badge.