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Artificial Intelligence is not a new subject, and business, industry andpublic sectors have used it in different ways and contexts and consideringmultiple concerns. This work reviewed research papers published in ACM DigitalLibrary and IEEE Xplore conference proceedings in the last two years supportedby fundamental concepts of Natural Language Processing (NLP) and Text Mining(TM). The objective was to capture insights regarding data privacy, ethics,interpretability, explainability, trustworthiness, and fairness in the publicsector. The methodology has saved analysis time and could retrieve paperscontaining relevant information. The results showed that fairness was the mostfrequent concern. The least prominent topic was data privacy (although embeddedin most articles), while the most prominent was trustworthiness. Finally,gathering helpful insights about those concerns regarding A.I. applications inthe public sector was also possible.

A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM