Empowering individuals through best practices and applied principles
Empowering leaders through practical industry frameworks and applied guides.
Empowering entire industries through our contributions to industry standards.
Empowering entire nations through our work.
I commit to assess the impact of incorrect predictions and, when reasonable, design systems with human-in-the-loop review processes
I commit to continuously develop processes that allow me to understand, document and monitor bias in development and production.
I commit to develop tools and processes to continuously improve transparency and explainability of machine learning systems where reasonable.
I commit to develop the infrastructure required to enable for a reasonable level of reproducibility across the operations of ML systems.
I commit to identify and document relevant information so that business change processes can be developed to mitigate the impact towards workers being automated.
I commit to develop processes to ensure my accuracy and cost metric functions are aligned to the domain-specific applications.
I commit to build and communicate processes that protect and handle data with stakeholders that may interact with the system directly and/or indirectly.
I commit to develop and improve reasonable processes and infrastructure to ensure data and model security are being taken into consideration during the development of machine learning systems.
The AI-RFX procurement framework has been put together by a group of domain experts. Its purpose is to ensure best practices in industry during the procurement, design, devleopment and integration of machine learning systems in industry.
The framework goes beyond the AI algorithms and provides a method to assess the maturity of the processes and technical infrastructure around the algorithms. The rramework consists of a request for proposal template as well as an assessment criteria template that is based on our Machine Learnign Maturity Model which can be downloaded at the AI-RFX Procurement Framework page.
The Ethical ML Network (BETA) is a global network of diverse engineers, scientists, managers, leaders and thinkers that align on the 8 principles for responsible development of machine learning, and support the 4 phases towards responsible development of AI. The network is currently on BETA, so if you want to join you can submit a request in the form below. This network is relevant if you are:
The "Ethical ML Network (BETA)" is a play on words which reinforces our core ethos. We believe that the only machine learning network that can be induced with ethics in practical industrial usecases is one made out of responsible and aligned humans who advocate for best practices during the design and development of machine learning systems. This is reinforced in each one of the Machine Learning Principles.