Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI)

Stephen Cory Robinson

Technology in Society, 2020, vol. 63, issue C

Abstract: Using textual analysis methodology with Hofstede's cultural dimensions as basis for cross-national comparison, the manuscript explores the influence of cultural values of trust, transparency, and openness in Nordic national artificial intelligence (AI) policy documents. Where many AI processes are technologies hidden from view of the citizen, how can public institutions support and ensure these high levels of trust, transparency, and openness in Nordic culture and extend these concepts of “digital trust” to AI? One solution is by authoring national policy that upholds cultural values and personal rights, ultimately reinforcing these values in their societies. The paper highlights differences in how Nordic nations position themselves using cultural values as organizing principles, with the author showing these values (i.e., trust through clear information and information security, transparency through AI literacy education and clear algorithmic decision making, and openness by creating data lakes and data trusts) support the development of AI technology in society. The analysis shows that three cultural values are upheld and influence Nordic national AI strategies, while themes of privacy, ethics, and autonomy are present, and democracy, a societal building block in the Nordics, is especially prominent in the policies. For policy development, policy leaders must understand that without citizen involvement in AI implementation or lacking citizen AI education, we risk alienating those for who these services are meant to utilize and improve access for.

Keywords: Digital trust; Openness; Transparency; Artificial Intelligence policy; Technology policy; Cultural values (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20303766

DOI: 10.1016/j.techsoc.2020.101421

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