The global landscape of AI ethics guidelines

In the last five years, private companies, research institutions as well as\npublic sector organisations have issued principles and guidelines for ethical\nAI, yet there is debate about both what constitutes "ethical AI" and which\nethical requirements, technical standards and best practices are needed for its\nrealization. To investigate whether a global agreement on these questions is\nemerging, we mapped and analyzed the current corpus of principles and\nguidelines on ethical AI. Our results reveal a global convergence emerging\naround five ethical principles (transparency, justice and fairness,\nnon-maleficence, responsibility and privacy), with substantive divergence in\nrelation to how these principles are interpreted; why they are deemed\nimportant; what issue, domain or actors they pertain to; and how they should be\nimplemented. Our findings highlight the importance of integrating\nguideline-development efforts with substantive ethical analysis and adequate\nimplementation strategies.\n