by Anna Jobin, Marcello Ienca und Effy Vayena
a global agreement on these question is emerging, we mapped and analyzed the current corpus of principles and guidelines on ethical AI. Our results reveal a global convergence emerging around five ethical principles: transparency, justice, and fairness, non-maleficence, responsibilty and privacy
- goal of the paper: to find out if these various groups of ethical criteria are converging on what ethical AI should be, and the ethical principles that will determain the development of AI? If they diverge, what are these differences and can they be reconciled?
Data reveal significant increase over time in the number of publications, with 88% having been relesased after 2016
- facts where shown from where these indicators are: 22,6% by private companies; governmental agencies 21,4%; academic and research institution 10,7%; inter-governmental or supra-national organisations 9,5%; non-profit organizations and professional associations / scientific societies 8,3& each... und bisschen mehr
- die meisten Kriterien kommen aus den USA 23,8% and UK 16,7%, followed by Japan 4,8% - Germany France, and Finnland 3,6% each
- afrikanische und südamerikanische Länder sind nicht representant (zumindest nicht als unabhängige Institution) --> dabei ist deren Figure 1 sehr wichtig