All Resources
AI Blindspot
Origin:
Language:
Type:
Creator:
Worldwide
English
Tech tool
Berkman Klein Center and MIT Media Lab
A discovery process tool for product teams to spot unconscious biases and structural inequalities in AI systems.
Produced mainly for Tech teams.
AI Fairness 360
Origin:
Language:
Type:
Creator:
North America
English
Tech tool
IBM
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. We invite you to use and improve it. Produced mainly for Tech teams
AI Principles
Origin:
Language:
Type:
Creator:
Europe
English
Guide
OECD
Promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. Adopted in May 2019, they set standards for AI that are practical and flexible enough to stand the test of time. Produced mainly for Government and Ministerial Levels.
Artificial intelligence - Governance framework model. Second Edition
Origin:
Language:
Type:
Creator:
Asia
English
Guide
S Iswaran- Minister for Communications and Information- Singapore
Addition of industry examples in each section to illustrate how organizations have implemented AI governance practices. Produced mainly for Government
Bias and Fairness Audit Toolkit
Origin:
Language:
Type:
Creator:
North America
English
Tech tool
Chicago University
Open source tech tool for auditing the data and predictions of machine learning solutions for their fairness. Requires relatively light technology background (can be used by non-developers)
CERTIFAI
Origin:
Language:
Type:
Creator:
English
Tech tool
Cognitive Scale - Cortex
Tool developed by Cognitive Scale for data scientists to evaluate their AI models for robustness, fairness, and explainability, and allows users to compare different models or model versions for these qualities.
AI Ethics for Nonprofits toolkit
Origin:
Language:
Type:
Creator:
North America
English
Tool tech & Guide
NetHope (consortium of 60 INGOs) in partnership with MIT D-Lab and USAID
Participants will learn some of the fundamentals of AI ethics and then immediately get to practice applying ethical considerations related to the principle of Fairness in the context of several humanitarian and international development use cases. Produced mainly for C Level, Manager, Tech Team, Non Tech Team.
AI For Everyone Course
Origin:
Language:
Type:
Creator:
North America
English
Course
Andrew Ng
Povide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future. Produced mainly for everyone.
Algorithmic Accountability Policy Toolkit
Origin:
Language:
Type:
Creator:
English
Guide or manual
AI Now Institute
This toolkit includes resources for advocates interested in or currently engaged in work to uncover where algorithms are being used and to create transparency and accountability mechanisms. Produced mainly for Tech teams.
Audit-AI
Origin:
Language:
Type:
Creator:
North America
English
Tech tool
Pymetrics
Open sourced bias testing tool useful for developers, that seems active for updating. Produced mainly for Tech teams
Bias in machine learning and ethical implications
Origin:
Language:
Type:
Creator:
North America
English
Guide
Institute of International Finance
The report outlines ways in which financial institutions are cautiously implementing Machine Learning into their processes, such as in credit risk assessment and anti-money laundering, and the mathematical as well as social components of fairness to be considered.
Produced mainly for C leve & Managers.
Caja de Herramientas Humanísticas
Origin:
Language:
Type:
Creator:
Latin America and the Caribbean
Spanish
Guide
Guia.ai collaborating with CeTyS, BID & fAIr LAC
Philosophical insights aimed at clarifying the nature of artificial intelligence, its relationship with human intelligence, as well as the various types of developments that have taken place in this field and the questions and challenges they raise.
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El material incluido en este sitio no está necesariamente respaldado por el Foro Económico Mundial, el Consejo del Futuro Global sobre IA para la Humanidad, C Minds y/u otros colaboradores.
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Consejo del Futuro Global sobre IA para la Humanidad,WEF con el apoyo de C Minds