The Institute for Ethical AI & Machine Learning is a Europe-based research centre with a significant mission. It focuses on developing frameworks to support the responsible development, deployment, and operation of machine learning systems. Comprising cross-functional teams of volunteers from various domains such as technology, machine learning, industry, policy, and academia, this institute is dedicated to advancing the field of ethical AI.
The institute is committed to advocating for the responsible development of AI. It conducts highly-technical, practical, and cross-functional research across the 8 Machine Learning Principles. These principles provide a practical framework for technologists to develop machine learning systems responsibly. For example, the principle of Human Augmentation emphasizes the assessment of the impact of incorrect predictions and the design of systems with human-in-the-loop review processes. Similarly, the Bias Evaluation principle focuses on continuously developing processes to understand, document, and monitor bias in development and production.
In addition to the Machine Learning Principles, the institute works with industry, academia, and governments to develop frameworks and libraries that align with its 4 phases towards responsible AI. These phases include empowering individuals through best practices and applied principles, empowering leaders through practical industry frameworks and applied guides, empowering entire industries through contributions to industry standards, and empowering entire nations through its work.
The institute also offers the AI-RFX Procurement Framework, an open-source set of templates that empowers industry practitioners to raise the bar for AI safety, quality, and performance. This framework converts the Principles for Responsible Machine Learning into a checklist and provides a method to assess the maturity of processes and technical infrastructure around the algorithms.
Furthermore, the institute has established the Ethical ML Network (BETA), a global network of diverse professionals who align on the 8 principles for responsible development of machine learning and support the 4 phases towards responsible AI. This network is relevant for various individuals, including AI startup founders, industry professionals, professors, engineers, data scientists, and managers.
Overall, The Institute for Ethical AI & Machine Learning is making significant contributions to the field of ethical AI, ensuring that machine learning systems are developed and deployed in a responsible and sustainable manner.
