This template provides a structured framework for assessing the righteousness of AI platform and service delivery practices using the AI Provider Righteousness Index (RI‑P) . It evaluates providers across the Five Pillars of AI Righteousness and provides actionable insights for improvement.
Instructions: For each item, assess the AI provider or platform using the following scale:
✅ Yes — Fully implemented and consistently practiced
⚠️ Partial — Partially implemented or inconsistent
❌ No — Not implemented or not yet addressed
N/A — Not applicable to this provider context
Assessment Overview
Field
Details
Assessment Date
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Assessor Name
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Assessor Role
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Assessor Organization
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AI Provider/Platform
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RI‑P Version
1.0
Organization
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Assessment Type
Initial / Follow-up
Assessment Scope
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Assessment Context
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Pillar 1: Integrity — Truthful and Transparent Service Delivery
Integrity requires that AI providers deliver truthful, transparent, and non‑deceptive services.
Section 1.1: Service Transparency
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Assessment Item
Yes
Partial
No
N/A
Evidence / Notes
1.1.1
Are service capabilities and limitations clearly communicated to users?
☐
☐
☐
☐
1.1.2
Are system performance metrics transparently reported?
☐
☐
☐
☐
1.1.3
Are data usage and storage practices clearly disclosed?
☐
☐
☐
☐
1.1.4
Are third‑party integrations and dependencies disclosed?
☐
☐
☐
☐
1.1.5
Is pricing transparent and clearly communicated?
☐
☐
☐
☐
Section 1.2: Truthful Marketing
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Assessment Item
Yes
Partial
No
N/A
Evidence / Notes
1.2.1
Do marketing claims accurately reflect actual service capabilities?
☐
☐
☐
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1.2.2
Are limitations and risks disclosed in marketing materials?
☐
☐
☐
☐
1.2.3
Are testimonials and case studies verifiably authentic?
☐
☐
☐
☐
1.2.4
Is the provider transparent about AI‑generated content?
☐
☐
☐
☐
1.2.5
Is there a process to correct misleading claims?
☐
☐
☐
☐
Section 1.3: No Deception
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Assessment Item
Yes
Partial
No
N/A
Evidence / Notes
1.3.1
Are users clearly informed when interacting with AI systems?
☐
☐
☐
☐
1.3.2
Does the provider avoid deceptive design patterns (dark patterns)?
☐
☐
☐
☐
1.3.3
Is there a process for detecting and correcting deception?
☐
☐
☐
☐
1.3.4
Are partners and vendors vetted for deceptive practices?
☐
☐
☐
☐
1.3.5
Is there a mechanism for users to report deceptive behavior?
☐
☐
☐
☐
Pillar 2: Justice — Equitable Service Delivery
Justice requires that AI providers deliver services fairly, without discrimination, and with respect for human dignity.
Section 2.1: Equitable Access
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Assessment Item
Yes
Partial
No
N/A
Evidence / Notes
2.1.1
Is service access equitable across different user groups?
☐
☐
☐
☐
2.1.2
Are accessibility features available for users with disabilities?
☐
☐
☐
☐
2.1.3
Is pricing structured to enable equitable access?
☐
☐
☐
☐
2.1.4
Are language and cultural barriers addressed?
☐
☐
☐
☐
2.1.5
Is there a process for addressing access disparities?
☐
☐
☐
☐
Section 2.2: Non‑Discrimination
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Assessment Item
Yes
Partial
No
N/A
Evidence / Notes
2.2.1
Does the service discriminate against protected groups?
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☐
☐
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2.2.2
Are bias tests conducted on service outputs?
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☐
☐
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2.2.3
Are bias mitigation strategies implemented?
☐
☐
☐
☐
2.2.4
Is discrimination monitoring in place?
☐
☐
☐
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2.2.5
Is there a process for addressing discrimination complaints?
☐
☐
☐
☐
Section 2.3: Respect for Dignity
#
Assessment Item
Yes
Partial
No
N/A
Evidence / Notes
2.3.1
Does the service respect user privacy and autonomy?
☐
☐
☐
☐
2.3.2
Is user consent obtained and respected?
☐
☐
☐
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2.3.3
Is user data protected from misuse?
☐
☐
☐
☐
2.3.4
Are user rights (access, correction, deletion) supported?
☐
☐
☐
☐
2.3.5
Is there a process for addressing dignity concerns?