Projects

The Open Ethics initiative runs and hosts projects important for the transparency ecosystem. As a non-profit initiative, our goal is to provide a home where projects, especially in artificial intelligence, machine learning, and autonomous decision-making domain, can build and support a community of contributors.

Projects

Open Ethics Label

active

Providing information about product features and data processing risks to consumers in a human-centric way, using a set of recognizable visual labels and clear descriptions.

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Open Ethics Transparency Protocol

active

A toolbox for product-owners to generate, host, and verify a machine-readable disclosure for their AI solutions in a standardized and explicit way, without compromising IP or security.

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Open Ethics Data Passport

active

An electronic snapshot describing dataset acquisition and annotation practices aimed to deliver built-in transparency and allow spotting of the systemic bias in trained AI models.

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Open Ethics Explainability Protocol

design

A protocol to request, access, and object the results of automated output from AI-powered products, focusing on end-user requirements, such as explainability and fairness.

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Open Ethics Maturity Model

ideation

A framework for helping organizations to become more transparent and ethically consistent. It outlines steps that individuals and teams can take to critically examine their organizational practices.

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The Big Red Button

design

The Big Red Button is a central place for consumers and whistleblowers to report algorithmic misuse, abuse, or discrimination. In any domain of technology, in any local law, and in any country, or state.

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ABSS

ideation

The Algorithmic Benchmark Sustainability Score (or ABSS) aims to bring transparent information about energy consumption patterns of different algorithms based on their benchmarked runtime profiling.

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Community Events

Open Ethics Series

active

The series of online events aimed at explaining the landscape of AI regulation. Webinars cover the main principles and requirements for the development and deployment of AI-powered products.

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