Responsible AI: Principles & Standards around the World

Posted on Updated on

During 2019 there was been a increase awareness of AI and the need for Responsible AI. During 2020 (and beyond) we will see more and more on this topic. To get you started on some of the details and some background reading, here are links to various Principles and Standards for Responsible AI from around the World.

Standard/Principles Description
EU AI Ethics Guidelines T​he Ethics Guidelines for Trustworthy Artificial Intelligence developed by EU High-Level Expert Group on AI ​highlights that trustworthy AI should be lawful, ethical and robust. Puts forward seven key requirements for AI systems should meet in order to be deemed trustworthy, including among others ​diversity, non-discrimination, societal and environmental well-being, transparency and accountability.
OECD principles on Artificial Intelligence OECD’s ​member​ countries along with partner countries adopted the first ever set of intergovernmental policy guidelines on ​AI​, agreeing to uphold international standards ​that aim to ensure AI systems are ​designed in a way that respects the rule of law, human rights, democratic values and diversity. They emphasize that AI should benefit people and the planet by driving inclusive growth, sustainable development and well-being.
CoE: Human Rights impacts of Algorithms Council of Europe draft recommendation on the human rights impacts of algorithmic AI systems, released for consultation in August 2019 and to be adopted in early 2020. ​The document explicitly refers to the UN Guiding Principles on Business and Human Rights as a guidance for due diligence process and ​Human ​Rights Impact Assessments.
IEEE Global Initiative: ​Ethically Aligned Design Ethically Aligned Design (EAD) Document is created ​​to ​educate a broader public ​and to inspire ​academics, engineers, policy makers and manufacturers of autonomous and intelligent systems​ to take action ​on prioritiz​ing ethical considerations​​.​ The general principles for AI design, manufacturing and use include: human rights, wellbeing, ​data agency, effectiveness, transparency, accountability, awareness of misuse, competence. ​The unique IEEE P7000 Standards series address specific issues at the intersection of technology and ethics​ and aimed to empower innovation across borders and enable societal benefit.
UN Sustainable Development Goals The UN Sustainable Goals include the annual ​AI for Good Global Summit is the leading UN platform for global and inclusive dialogue on how artificial intelligence could help accelerate progress towards the ​​Global Goals.
UN Business ​and Human Rights The UN Guiding Principles on Business and Human Rights (UNGPs)gives a framework offering a roadmap​ to navigate responsibility-related challenges, rapid ​technological disruption and rising ​inequality, business has a ​unique opportunity ​to implement​ human-centered innovation by taking into account ​social, ethical​ and human rights implications of AI.
EU Collaborative Platforms and Social Learning Several EU countries have ​​articulated their ambitions related to artificial intelligence, it is of paramount importance to find your unique voice, ​​track and join ​essential conversations, strategically engage in collective efforts and leave meaningful digital footprint.​