To facilitate the exploration of the issues and expertises mobilised by the Global Forum on Artificial Intelligence for Humanity, we have created an atlas of the recent scientific literature on AI for humanity. Starting from a query targeting both the societal implications of AI technologies and the use of AI in human and social sciences (cf. query), we collected a corpus of more than 23 thousand bibliographic records corresponding to journal articles and conference proceedings published on these topics in the last five years. Using co-citation techniques and force-directed network layout, we created a base map of the relevant scientific literature and use it to locate the keywords, subject areas and institutions appearing in our bibliographic corpus (cf. protocol).
The results of this work revealed the great diversity of matters of reflections to be addressed during the Forum (and by the International Panel on AI that it prefigures), but also the seamless connection between technical questions related to advanced techniques of computation of robotics innovation and social and human implications of their implementation (cf. interpretation).
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The Global Forum on AI for Humanity marks an important step in the reflection on the social and human implications of the scientific and industrial developments associated with artificial intelligence. This reflection comes with the recognition that computer and information sciences are not the only disciplines concerned by AI nor the only ones that should help in steering its course. Inviting diversity of experts to the discussion table, the Global Forum (and the International Panel on AI that it prefigures) encourages a broad discussion on the political dimensions of AI and on its use in human and social sciences.
To foster the exploration of this diversity of issues and expertises, our atlas proposes a mapping of the scientific literature related to AI for humanity. Starting from a query targeting both the research on the societal questions connected to advanced computation technologies and their use in human and social disciplines (cf. query) , we collected a corpus of more than 23 thousand bibliographic records corresponding to the articles and conference proceedings published on these topics in the last five years. The first step in our analysis consists in extracting the references present in three or more records of our corpus (note that, while these records have all been issued in the last five years, there is no temporal restriction on the references they cite). We then build a network of references connected if cited together by at least two records in the corpus. We apply a force-directed layout to obtain the network of co-cited references that constitutes the base map of our atlas. Finally, we project on this base map the article keywords, subject areas and institutions appearing in our bibliographic corpus, sizing them according to the number of occurrences. (cf. protocol)
The resulting maps (cf. maps) display three main regions. The first, located at the left of the map, focusses on different types of interactions between humans and digital technologies, spanning from the robots (at the bottom of the diagram), to the smart cities (upper-left corner) and business intelligence (slightly to the right of the previous cluster), passing through debates on work automation, data privacy and more generally critical data studies (middle-left of the diagram). The right part of the map is occupied by technical questions related to machine learning, neural networks, genetic algorithms, etc., but also suicide prevention and e-learning. Bridging the left and right regions, a dense centre occupied by digital media and related conversations about data journalism, filter bubbles, misinformation, but also more technical discussion about how data from electronic media can be used for social research through digital methods and text mining.
AI synonyms & techniques (1) | OR | AI synonyms & techniques (1) | |
AND | AND | ||
social & human issues (2) | social & human disciplines (3) | ||
AND | |||
document type = article OR proceedings | published between 2015 and 2019 |