Electoral administration and state-of-the-art AI: a cocktail of incongruences

Artificial Intelligence (AI) is rapidly spreading into various avenues of human activity. This article considers the suitability of state-of-the-art AI for use within the sector of electoral administration, which comprises processes critical to the sustainment of healthy democratic institutions and procedures We posit that there are fundamental incongruences between the ways of current AI and the values and principles that electoral administration processes need to adhere to. This article explores the contours of such incongruences using specific examples of (potential) risks from AI usage within electoral administration. We outline how state-of-the-art AI has an entrenched majoritarian bias, data-first ethos, neoliberal propensity and opaque operation, all of which pose significant hurdles for usage within electoral administration. While our intent is primarily limited to conveying the nature of such incongruences to a non-technical audience, we also briefly deliberate on possible pathways towards mitigating such harm.

Authors

Publication Details

Journal
Research Portal (Queen's University Belfast)
Published
2024-10-02
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electoral administration and state-of-the-art AI: a cocktail of incongruences

Deepak; id_orcid 0000-0002-1336-2356 P.
Research Portal (Queen's University Belfast)
Ethics and Social Impacts of AI
article

Electoral administration and state-of-the-art AI: a cocktail of incongruences

Deepak; id_orcid 0000-0002-1336-2356 P.
article en

Abstract

Artificial Intelligence (AI) is rapidly spreading into various avenues of human activity. This article considers the suitability of state-of-the-art AI for use within the sector of electoral administration, which comprises processes critical to the sustainment of healthy democratic institutions and procedures We posit that there are fundamental incongruences between the ways of current AI and the values and principles that electoral administration processes need to adhere to. This article explores the contours of such incongruences using specific examples of (potential) risks from AI usage within electoral administration. We outline how state-of-the-art AI has an entrenched majoritarian bias, data-first ethos, neoliberal propensity and opaque operation, all of which pose significant hurdles for usage within electoral administration. While our intent is primarily limited to conveying the nature of such incongruences to a non-technical audience, we also briefly deliberate on possible pathways towards mitigating such harm.

Research Portal (Queen's University Belfast)
Openalex Percentile: Top 34%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.