It's more an educational publication than a tool (as the name suggests: "Review of.."). However, also provides some (high-level) recommendations for governments and regulators.

The resource provides a list and a geographical worl map pointing ethical principle declarations and documents

AI is the study and research of providing software and hardware that attempts to emulate a human being. Cognitive computing is computing focused on reasoning and understanding that is inspired by human cognition. It is a subset of AI. Produced mainly for: C levels & Managers.

A library that implements fairness-aware machine learning algorithms. Produced mainly for Tech teams.

Framework for financial institutions to promote the responsible adoption of Artificial Intelligence and Data Analytics. It has developed a fairness assessment methodology in credit risk scoring and customer marketing, and has published whitepapers on the fairness assessment methodology and the open source code of these two use cases. Produced mainly for Tech teams.

To approach the phenomenon of bias generated through neural networks, either in their training or in the design of their objective function, and to analyze some of its possible legal implications.

Sets aspirational benchmarks to guide governments, the private sector and international organizations in developing data governance that take full account of children’s issues and rights, including in AI systems.

Open source library for measuring bias in word embedding models. It generalizes many existing fairness metrics into a unified framework and provides a standard interface for: encapsulating existing fairness metrics from previous work and designing new ones, encapsulating the test words used by fairness metrics into standard objects called queries and computing a fairness metric on a given pre-trained word embedding model using user-given queries. Produced mainly for Tech teams.

This manual is part of a series of documents and tolos developed by the fAIr LAC initiative to guide policy makers and their technical teams in mitigating the challenges inherent in AI-based decision support systems and promoting their responsible use.

Helps identifying how the technological development may harm people's right to privacy. Either directly by the use of such technology, or indirectly as a result of the use of a third party. Produced mainly for Managers