Catalogue of Tools & Metrics for Trustworthy AI

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.

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Robustness & digital security

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Lifecycle stage(s) Collect & process data
Approach Technical
Objective Robustness & digital security

TechnicalKoreaUploaded on Apr 29, 2024
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

Related lifecycle stage(s)

Collect & process data

TechnicalIsraelUploaded on Apr 11, 2024
Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.

Related lifecycle stage(s)

Collect & process data

TechnicalSingaporeUploaded on Dec 15, 2023
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

Related lifecycle stage(s)

Collect & process data

TechnicalChinaUploaded on Dec 15, 2023
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Related lifecycle stage(s)

Collect & process data

TechnicalUnited StatesUploaded on Dec 15, 2023
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Related lifecycle stage(s)

Collect & process data

TechnicalUploaded on Dec 15, 2023
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

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Collect & process data

TechnicalArmeniaUploaded on Dec 15, 2023
A new one shot face swap approach for image and video domains.

Related lifecycle stage(s)

Collect & process data

TechnicalUnited StatesUploaded on Dec 11, 2023
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Related lifecycle stage(s)

Collect & process data

TechnicalUploaded on Dec 11, 2023
Gluon CV Toolkit

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Collect & process data

TechnicalUnited StatesUploaded on Nov 29, 2023
AI/ML applications have unique security threats. Project GuardRail is a set of security and privacy requirements that AI/ML applications should meet during their design phase that serve as guardrails against these threats. These requirements help scope the threats such applications must be protected against.

Related lifecycle stage(s)

Collect & process data

TechnicalUploaded on Jun 21, 2023
Use a model inventory and AI Factsheets as part of your AI Governance strategy to track the lifecycles of machine learning models from training to production. View factsheets for model assets that track lineage events and facilitate efficient ModelOps governance.

Related lifecycle stage(s)

Collect & process data

TechnicalUploaded on Apr 17, 2023<1 day
Fast AI with Assurance, Integrity, and Reliability for comprehensive AI governance and oversight.

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Collect & process data

TechnicalUploaded on Mar 30, 2023<1 day
GRACE is an AI governance platform that offers a central registry for all AI models, tools, and workflows for risk mitigation, compliance, and collaboration across AI teams and projects. It provides real-time compliance, transparency, and trust while promoting AI innovation. The platform works across all major cloud vendors and offers out-of-the-box frameworks for complying with EU AI Act, AI standards, data regulations, and AI frameworks.

Related lifecycle stage(s)

Collect & process data

TechnicalUploaded on Mar 27, 2023<1 day
A scalable and systematic solution empowering enterprise to adopt and scale AI with confidence and enhance business performance.

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Collect & process data

TechnicalUploaded on Mar 27, 2023<1 day
A bespoke AI risk audit solution tailor-made to identify your enterprise project’s AI risks, comprising deep technical, quantitative analysis.

Related lifecycle stage(s)

Collect & process data

TechnicalUploaded on Mar 27, 2023
A set of guides to help enterprises mitigate some of the most common AI risks, presenting step-by-step solutions to protect against technical risks.

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Collect & process data

TechnicalUnited KingdomUploaded on Mar 23, 2023
This toolkit will help you understand some of the AI-specific risks to individual rights and freedoms and provides practical steps to mitigate, reduce or manage them.

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Collect & process data

TechnicalUploaded on Mar 20, 2023
Automated model stress testing and conformity assessments.

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Collect & process data

TechnicalUploaded on Mar 20, 2023
An accessible framework (single A3 sheet) for governing the ethical development and use of AI - including the what (ethic), how (realisation principals), and submission of evidence for approval. Trustworthiness and bias are also covered

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Collect & process data

TechnicalUploaded on Feb 14, 2023
An AI governance and risk management platform that helps organisations understand and manage the risks that come with AI, whilst navigating the emerging regulatory landscape

Related lifecycle stage(s)

Collect & process data

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.