Supporting material
The Toronto Declaration draws from a rich body of work from human rights, corporate ethics, data science, technology studies, to name a few.
Key literature and initiatives that contributed to the thinking behind and substance of the Declaration include:
- FATML community and resources
- International human rights treaties on equality and non-discrimination
- Algorithmic Impact Assessments, AI Now
- OECD Guidelines for Multinational Enterprises
- UN Guiding Principles on Business and Human Rights
Recent resources and initiatives
Since we published the Declaration in May 2018, the human rights and AI canon and conversation has grown considerably, and continues to develop. We have listed some key texts below, many of which borrow from or mention the Toronto Declaration.
Civil society analysis of human rights and AI
- Artificial Intelligence & Human Rights: Opportunities & Risks, Berkman Klein Center for Internet & Society at Harvard University, September 2018
- Governing Artificial Intelligence, Data & Society, October 2018
- Human Rights in the Age of AI, Access Now, November 2018
- Governance with teeth: How human rights can strengthen FAT and ethics initiatives on artificial intelligence, Article 19, April 2019
Inter-governmental AI governance initiatives
- Council of Europe initiative on Algorithms and AI
- United Nations Office of the High Commissioner for Human Rights (OHCHR) B-Tech Project
- Organisation for Economic Co-operation and Development (OECD) Principles on AI
Tech industry approaches to equality and transparency in ML
- Datasheets for Datasets, Microsoft
- Explainable AI initiative, Google Cloud