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.
Open Ethics Label
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.
Open Ethics Transparency Protocol
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.
Open Ethics Data Passport
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.
Open Ethics eXplainability Protocol
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.
Public Surveillance Transparency
We suggest instruments to enable transparency in the case of public surveillance. The project concerns oversight and transparency of surveillance processes put in place at a given physical location.
Open Ethics Maturity Model
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.
The Big Red Button
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.
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.
Open Ethics Series
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.