The advent of machines power-driven by Artificial Intelligence (AI) have strongly influenced the world in the 21 st century. The future of AI is promising and is offering a wide range of opportunities for scholars and academics. Although the theme has received a considerable attention over the last years, much has been speculated and little is known about its impacts on the Public Administration. Thus, the purpose of this article is to make the result of those impacts less ambiguous. To this end, we have conducted a systematic review to provide a comprehensive analysis on the latest impacts of AI on the Public Administration. Our intent is to narrow the field of study, while AI is being continuously strengthened with new empirical evidences.

The aim of this paper is to provide an overview on how artificial intelligence is shaping the digital era, in policy making and governmental terms. In doing so, it discloses new opportunities and discusses its implications to be considered by policy-makers. The research uses a systematic literature review, which includes more than one technique of data analysis in order to generate comprehensiveness and rich knowledge, we use: a bibliometric analysis and a content analysis. While artificial intelligence is identified as an extension of digital transformation, the results suggest the need to deepen scientific research in the fields of public administration, governmental law and business economics, areas where digital transformation still stands out from artificial intelligence. Although bringing together public and private sectors, to collaborate in the public service delivery, presents major advantages to policy makers, evidence has also shown the existence of negative effects of such collaboration. Keywords: Digital transformation Á Digital era Á Artificial intelligence Á Political science Á Policy-makers Á Government services Á Systematic literature review Á Technological development

ResumoAs práticas digitais que decorrem da ubiquidade dos media e da sua utilização possibilitaram a combinação de múltiplas plataformas no consumo de notí-cias. Neste artigo, procurámos identificar repertó-rios mediáticos (padrões de uso dos media noticiosos) em Portugal, de modo a compreender como são construídas as preferências mediáticas das audiên-cias e de que forma o consumo noticioso integra os seus hábitos quotidianos. Neste sentido, desenvolvemos uma análise a padrões de consumo de media noticiosos a partir de uma abordagem mista de mé-todos qualitativos e quantitativos baseada na Metodologia Q (Davis & Michelle, 2011), a partir de uma amostra constituída por 36 participantes. A análise dos padrões de consumo de notícias permitiu identificar e analisar sete repertórios mediáticos em função do uso, relevância e utilidade atribuída pelos sujeitos aos media noticiosos. Os resultados revelam perfis híbridos de consumo mediático e uma tendên-cia para consumos de notícias numa lógica móvel e multiplataforma, embora os media tradicionais continuem a desempenhar um papel determinante nos repertórios mediáticos em Portugal.Palavras-chave: audiências; consumos noticiosos; repertórios mediáticos; Cross-Media; metodologia Q.

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Goal: Public administration is constantly changing in response to new challenges, including the implementation of new technologies such as robotics and artificial intelligence (AI). This new dynamic has caught the attention of political leaders who are finding ways to restrain or regulate AI in public services, but also of scholars who are raising legitimate concerns about its impacts on public employment. In light of the above, the aim of this research is to analyze the influence of AI on public employment and the ways politics are reacting.Design / Methodology / Approach: We have performed a systematic literature review to disclose the state-of-the-art and to find new avenues for future research. Results:The results indicate that public services require four kinds of intelligence -mechanical, analytical, intuitive, and empathetic -albeit, with much less expression than in private services. Limitations of the investigation:This systematic review provides a snapshot of the influence of AI on public employment. Thus, our research does not cover the whole body of knowledge, but it presents a holistic understanding of the phenomenon. Practical implications:As private companies are typically more advanced in the implementation of AI technologies, the for-profit sector may provide significant contributions in the way states can leverage public services through the deployment of AI technologies.Originality / Value: This article highlights the need for states to create the necessary conditions to legislate and regulate key technological advances, which, in our opinion, has been done, but at a very slow pace.