These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Credo AI Responsible AI Governance Platform
The Credo AI Responsible AI Governance Platform capabilities are designed to help organizations ensure responsible development and use throughout the entire AI value chain. The Credo AI Platform makes it easy for organizations to assess their AI systems for risks related to fairness, performance, transparency, security, privacy, and more, and to produce standardized transparency artifacts including reports and documentation for AI/ML systems for internal AI governance reviews, external compliance requirements, independent audits or specialized customer requests.
One of the primary reasons why many organizations are struggling to implement RAI governance at scale is, first and foremost, the burden of governance activities on AI/ML development teams. The amount of time that it takes a technical team to run technical assessments which meet compliance requirements for areas like algorithmic fairness, security, and privacy is significant. Time spent generating artifacts for governance takes away from a technical team’s ability to build new ML models, slowing down an organization’s innovation cycle. Without the right tools to facilitate quick and easy RAI assessment and generation of technical artifacts that meet governance needs, data science teams are often reluctant to adopt new processes related to governance. Without these stakeholders’ buy-in, AI governance programs are much less likely to succeed.
Another key reason why it is difficult for organizations to stand up comprehensive AI governance programs at scale is standardization—or rather, the lack thereof. In many organizations, AI development teams are individually responsible for Responsible AI assessment and reporting, which results in a highly fragmented approach that makes it difficult to compare AI risk and compliance across different projects, and align them to business objectives. AI governance teams struggle to scale their activities across all of the AI/ML applications in development and use, because they need to “start governance from scratch” with every new AI use case under review.
The Responsible AI Governance Platform solves these two problems by enabling standardized, programmatic Responsible AI assessment and automated reporting based on Policy Packs.
Credo AI Policy Packs encode regulations, laws, standards, guidelines, best practices, and an individual company’s proprietary policies into standardized assessment requirements and report templates, which make it easy for AI/ML development teams to produce the evidence and reports needed for AI governance. Our out-of-the-box Policy Packs provide everything a company needs to run technical assessments and generate reports in compliance with emerging reporting requirements—whether that company is focused on complying with New York City’s algorithmic hiring law or the EU AI Act, Credo AI Policy Packs are the building blocks that companies need to get in compliance without burdening their technical teams.
The Responsible AI Governance Platform provides organizations with a complete toolset to streamline and standardize Responsible AI assessment and reporting across all of their AI/ML systems.
About the tool
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Tags:
- ai ethics
- ai risks
- biases testing
- build trust
- building trust with ai
- data governance
- demonstrating trustworthy ai
- digital ethics
- documentation
- gpai
- metrics
- transparent
- trustworthy ai
- validation of ai model
- chatgpt
Use Cases
Credo AI Governance Platform: Reinsurance provider Algorithmic Bias Assessment and Reporting
Credo AI Policy Packs: Human Resources Startup compliance with NYC LL-144
Credo AI Transparency Reports: Facial Recognition application
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