Artificial Intelligence and the Public Sector—Applications and Challenges
By Bernd W. Wirtz, Jan C. Weyerer, Carolin Geyer. International Journal of Public Administration, 2018
941 citations recorded by the source corpus.
ABSTRACT Advances in artificial intelligence (AI) have attracted great attention from researchers and practitioners and have opened up a broad range of beneficial opportunities for AI usage in the public sector. Against this background, there is an emerging need for a holistic understanding of the range and impact of AI-based applications and associated challenges. However, previous research considers AI applications and challenges only in isolation and fragmentarily. Given the lack of a comprehensive overview of AI-based applications and challenges for the public sector, our conceptual approach analyzes and compiles relevant insights from scientific literature to provide an integrative overview of AI applications and related challenges. Our results suggest 10 AI application areas, describing their value creation and functioning as well as specific public use cases. In addition, we identify four major dimensions of AI challenges. We finally discuss our findings, deriving implications for theory and practice and providing suggestions for future research.
Subfields: Safety Research
View Paper: https://www.semanticscholar.org/paper/522c3f62cb117bb2928b8bcfc95d7430eb749115
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Citations in the corpus
- Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021, background): “Moreover, additional challenges arise from the lack of transparency of black-box systems, such as unclear responsibility and accountability, when AI is used in decision-making by governments (Ben Rjab & Mellouli, 2019; Dignum, 2017, 2018; Wirtz, Weyerer, & Geyer, 2019).”
- AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022, neutral): “Key applications of AI in this context include process automation, virtual agents and speech analytics, predictive analytics for decision-making, sentiment analysis, and document reviews (Ojo, Mellouli, & Zeleti, 2019; Wirtz, Weyerer, & Geyer, 2018).”
- Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature (2020, background): “AI applications are used to improve and innovate the delivery of public services [28].”
- Alexa, she's not human but… Unveiling the drivers of consumers' trust in voice‐based artificial intelligence (2021, background): “According to Wirtz et al. (2018, 2019), when interacting with AI ‐ based personal assistants, functional elements, such as usefulness and ease of use, will appear to be given in most cases yet would be a barrier if not provided at a level expected by consumers.”
- Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives (2020, background): “Wirtz, Weyerer [48] emphasize the challenges connected to the responsibility and accountability of AI systems.”
- Artificial intelligence for waste management in smart cities: a review (2023, background): “These machines are powered by artificial intelligence, can distinguish between different types of solid waste, and exhibit a high degree of autonomy in computer vision programs (Wirtz et al. 2019).”