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.

OverviewToolsMetricsAbout the catalogue
Contribute to the catalogue
Contribute to the catalogue
Show toolsShow use cases

Type

Clear all

Robustness & digital security

Clear all

Origin

Scope

Clear all

SUBMIT A TOOL

If you have a tool that you think should be featured in the Catalogue of AI Tools & Metrics, we would love to hear from you!

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

Unsupervised Learning for anomaly detection in options pricing

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Awesome Document Understanding

TechnicalPolandUploaded on 15 déc. 2023
A curated list of resources for Document Understanding (DU) topic

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Mathematical foundation of Reinforcement Learning

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Deep Reinforcement Learning Agents

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

EfficientFormerV2

TechnicalUploaded on 15 déc. 2023
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

GHOST: Generative High-fidelity One Shot Transfer

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

NVIDIA Deep Learning Examples for Tensor Cores

TechnicalUnited StatesUploaded on 11 déc. 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.

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Angel

TechnicalUnited StatesUploaded on 11 déc. 2023
A Flexible and Powerful Parameter Server for large-scale machine learning

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

FLAML

TechnicalUnited StatesUploaded on 11 déc. 2023
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Gluon CV Toolkit

TechnicalUploaded on 11 déc. 2023
Gluon CV Toolkit

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Vespa

TechnicalUploaded on 11 déc. 2023
The open big data serving engine. https://vespa.ai

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Project GuardRail

TechnicalUnited StatesUploaded on 29 nov. 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.

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

IBM Factsheets for AI Governance

TechnicalUploaded on 21 juin 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.

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

trojai

TechnicalUploaded on 8 juin 2023
A repository to quickly generate synthetic data and associated trojaned deep learning models

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

trustworthyai

TechnicalUploaded on 8 juin 2023
trustworthy AI related projects

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

zamba

TechnicalUploaded on 8 juin 2023
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Fairly AI Oversight and Risk Management Platform

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

GRACE

TechnicalUploaded on 30 mars 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.

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Holistic AI Governance, Risk and Compliance Platform

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data

Holistic AI Audits

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

Objective(s)

Robustness & digital security

Related lifecycle stage(s)

Collect & process data
catalogue Logos

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.

Inscrivez-vous pour recevoir des alertes de notre blog, le AI Wonk: