TY  - GEN
TI  - A sociotechnical perspective for the future of AI : narratives, inequalities, and human control
AU  - Sartori, Laura
AU  - Theodorou, Andreas
PY  - 2022
PB  - Umeå universitet, Institutionen för datavetenskap; Department of Political and Social Sciences, University of Bologna, Bologna, Italy
LA  - eng
KW  - Accountability
KW  - Artificial intelligence
KW  - Human control
KW  - Inequalities
KW  - Narratives
KW  - Sociology
KW  - Transparency
KW  - Sociology (excluding Social Work
KW  - Social Psychology and Social Anthropology)
KW  - Sociologi (exklusive socialt arbete
KW  - socialpsykologi och socialantropologi)
KW  - Computer Sciences
KW  - Datavetenskap (datalogi)
AB  - Different people have different perceptions about artificial intelligence (AI). It is extremely important to bring together all the alternative frames of thinking—from the various communities of developers, researchers, business leaders, policymakers, and citizens—to properly start acknowledging AI. This article highlights the 'fruitful collaboration' that sociology and AI could develop in both social and technical terms. We discuss how biases and unfairness are among the major challenges to be addressed in such a sociotechnical perspective. First, as intelligent machines reveal their nature of 'magnifying glasses' in the automation of existing inequalities, we show how the AI technical community is calling for transparency and explainability, accountability and contestability. Not to be considered as panaceas, they all contribute to ensuring human control in novel practices that include requirement, design and development methodologies for a fairer AI. Second, we elaborate on the mounting attention for technological narratives as technology is recognized as a social practice within a specific institutional context. Not only do narratives reflect organizing visions for society, but they also are a tangible sign of the traditional lines of social, economic, and political inequalities. We conclude with a call for a diverse approach within the AI community and a richer knowledge about narratives as they help in better addressing future technical developments, public debate, and policy. AI practice is interdisciplinary by nature and it will benefit from a socio-technical perspective.
UR  - http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-192501
DO  - 10.1007/s10676-022-09624-3
UR  - https://www.pollux-fid.de/r/base-ftumeauniv:oai:DiVA.org:umu-192501
H1  - Pollux (Fachinformationsdienst Politikwissenschaft)
ER  -