The mission of the Montreal AI Ethics Institute (MAIEI) is to define humanity’s place in a world increasingly characterized by and driven by algorithms. In order to achieve our mission, we aim to build public competence in AI Ethics through tangible and applied technical and policy research—equipping and empowering anyone, anywhere to engage in conversations regarding the development and deployment of AI systems.
To build public competence in AI Ethics and publish innovative, applicable policy research, we believe in the power of collaboration, transparency, and openness. Therefore, we’ve implemented an open access policy that will allow for sharing and adaptation of our work (e.g. translations into other languages) with the aim of reaching a wider audience and having a greater impact. Under this policy, we will not only share our work under an open license on our website and through third-party platforms (e.g. arXiv) but we will also encourage our collaborators, stakeholders, and community to do so as well.
Original material on the MAIEI website, including blog posts, research summaries, white papers, multimedia assets, etc. are freely and openly available under a Creative Commons Attribution 4.0 International (CC BY 4.0), unless otherwise noted. Under this license you are able to:
- Share—copy and redistribute the original material in any medium or format
- Adapt—remix, transform, and build upon the original material for any purpose
However, you must provide proper and reasonable attribution. We ask that you do so by including the following information on the shared and/or adapted CC-licensed material:
- Title of the original material
- Author of the original material—when relevant, include individual authors and link to their profiles
- Source of the original material with a link
- License the original material was published under with a link to the license deed (CC BY 4.0 unless otherwise noted, see example below)
Finally, if the new material is an adaptation of the original material, please provide indication and give a brief description of what is different.
Here’s an example of an ideal attribution statement for an adapted material:
This post is a Spanish translation of “The Ethics of AI in Medtech: A Discussion With Abhishek Gupta,” published by the Montreal AI Ethics Institute and contributed by Jeremie Abitbol on 28 June 2020, licensed CC BY 4.0.
Note: Material that is published on the MAIEI website that is not original may require permission from the copyright holder to adapt or redistribute.
If you have any questions about our open access policy, including guidance on proper attribution, please contact us at [email protected]