@article{Gill:299239,
      recid = {299239},
      author = {Gill, Amandeep S. and Germann, Stefan},
      title = {Conceptual and normative approaches to AI governance for a  global digital ecosystem supportive of the UN Sustainable  Development Goals (SDGs)},
      address = {2022},
      number = {ARTICLE},
      abstract = {AI governance is like one of those mythical creatures that  everyone speaks of but which no one has seen. Sometimes, it  is reduced to a list of shared principles such as  transparency, non-discrimination, and sustainability; at  other times, it is conflated with specific mechanisms for  certification of algorithmic solutions or ways to protect  the privacy of personal data. We suggest a conceptual and  normative approach to AI governance in the context of a  global digital public goods ecosystem to enable progress on  the UN Sustainable Development Goals (SDGs). Conceptually,  we propose rooting this approach in the human capability  concept—what people are able to do and to be, and in a  layered governance framework connecting the local to the  global. Normatively, we suggest the following six  irreducibles: a. human rights first; b. multi-stakeholder  smart regulation; c. privacy and protection of personal  data; d. a holistic approach to data use captured by the  3Ms—misuse of data, missed use of data and missing data; e.  global collaboration (‘digital cooperation’); f. basing  governance more in practice, in particular, thinking  separately and together about data and algorithms.  Throughout the article, we use examples from the health  domain particularly in the current context of the Covid-19  pandemic. We conclude by arguing that taking a distributed  but coordinated global digital commons approach to the  governance of AI is the best guarantee of citizen-centered  and societally beneficial use of digital technologies for  the SDGs.},
      url = {http://repository.graduateinstitute.ch/record/299239},
      doi = {https://doi.org/10.1007/s43681-021-00058-z},
}