Both the Partnership on AI's framework and Meta's AI Research Ethics Review Process provide valuable guidance for responsible AI development. PAI offers a broad, evolving framework with diverse stakeholder input and a focus on global equity, while Meta implements more concrete accountability mechanisms, training programs, and integrates its ethics review process into existing governance structures. Meta also provides more details on compliance monitoring and enforcement.
Attribute | Partnership on AI's Framework for Responsible AI Development | Meta's AI Research Ethics Review Process |
---|---|---|
Scope of Ethical Guidelines | — | — |
Transparency of Review Process | — | — |
Stakeholder Involvement | — | — |
Methods for Identifying and Mitigating Bias | — | — |
Accountability Mechanisms | — | — |
Resources Required for Implementation | — | — |
Training and Education Provided | — | — |
Adaptability to Different AI Applications | — | — |
Metrics for Measuring Ethical Impact | — | — |
Compliance Monitoring and Enforcement | — | — |
Documentation and Reporting | — | — |
Integration with Existing Governance Structures | — | — |