Loading...
Publication
Ética na gestão da informação: uma perspetiva da ciência da informação
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 2.05 MB | Adobe PDF |
Advisor(s)
Abstract(s)
A Gestão da Informação (GI), enquanto subárea da Ciência da Informação (CI), tem sido alvo de estudos intensivos nos últimos anos devido às questões éticas relacionadas com o processamento de dados. A transformação digital revolucionou esta área, e o impacto tem sido acentuado pela crescente influência da Inteligência Artificial (IA).
Este trabalho apresenta uma Revisão Sistemática da Literatura (RSL), utilizando a metodologia Principais Itens para Relatar Revisões Sistemáticas e Meta-análises (PRISMA), com o objetivo de traçar um panorama da pesquisa sobre ética na GI, identificar as melhores práticas e apontar direções futuras de investigação.
Neste contexto, foram estabelecidos um objetivo geral e quatro objetivos específicos, aos quais se procurou responder com a análise dos artigos revistos. Após a RSL e com base no Regulamento Geral sobre a Proteção de Dados (RGPD), recomenda-se, para um processamento ético da informação: (1) Transparência sobre como os dados são armazenados, utilizados e partilhados, respeitando os direitos dos titulares; (2) Consentimento informado, garantindo que os utilizadores compreendam o uso dos seus dados; (3) Supervisão humana nos Sistemas de Informação (SI), prevenindo a disseminação de conteúdos prejudiciais, com uma equipa técnica e eticamente preparada; (4) Formação em ética e privacidade, preparando profissionais para lidar com desafios
éticos; (5) Responsabilidade, com a criação de comités de ética para assegurar conformidade com a legislação e boas práticas; e (6) Avaliação de impacto, mitigando
riscos no tratamento de dados pessoais, especialmente em casos sensíveis.
O artigo conclui com a sugestão de estudos futuros para avaliar o impacto real destas medidas nas organizações e a necessidade de aplicação da ética na GI, em novos cenários como o da transição digital impulsionada pela IA.
Information Management, as a sub-area of Information Science, has been the subject of intensive study in recent years due to the ethical issues surrounding data processing. The digital transformation has revolutionised this area, and the impact has been accentuated by the growing influence of Artificial Intelligence (AI). This paper presents a systematic review of the literature, using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, with the aim of drawing up an overview of research into ethics in Information Management, identifying best practices and pointing to future research directions. In this context, a general objective and four specific objectives were established, which were sought to be answered by analysing the articles reviewed. After reviewing the literature and on the basis of the General Data Protection Regulation, it is recommended that for ethical information processing: (1) Transparency on how data is stored, used and shared, respecting the rights of data users; (2) Informed consent, ensuring that users understand the use of their data; (3) Human supervision in information systems, preventing the dissemination of harmful content, with a technically and ethically prepared team; (4) Ethics and privacy training, preparing professionals to deal with ethical challenges; (5) Accountability, with the creation of ethics committees to ensure compliance with legislation and good practice; and (6) Impact assessment, mitigating risks in the processing of personal data, especially in sensitive cases. The article concludes with a suggestion for future studies to assess the real impact of these measures on organizations and the need to apply ethics in Information Management in new scenarios such as the digital transition driven by AI.
Information Management, as a sub-area of Information Science, has been the subject of intensive study in recent years due to the ethical issues surrounding data processing. The digital transformation has revolutionised this area, and the impact has been accentuated by the growing influence of Artificial Intelligence (AI). This paper presents a systematic review of the literature, using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, with the aim of drawing up an overview of research into ethics in Information Management, identifying best practices and pointing to future research directions. In this context, a general objective and four specific objectives were established, which were sought to be answered by analysing the articles reviewed. After reviewing the literature and on the basis of the General Data Protection Regulation, it is recommended that for ethical information processing: (1) Transparency on how data is stored, used and shared, respecting the rights of data users; (2) Informed consent, ensuring that users understand the use of their data; (3) Human supervision in information systems, preventing the dissemination of harmful content, with a technically and ethically prepared team; (4) Ethics and privacy training, preparing professionals to deal with ethical challenges; (5) Accountability, with the creation of ethics committees to ensure compliance with legislation and good practice; and (6) Impact assessment, mitigating risks in the processing of personal data, especially in sensitive cases. The article concludes with a suggestion for future studies to assess the real impact of these measures on organizations and the need to apply ethics in Information Management in new scenarios such as the digital transition driven by AI.
Description
Keywords
Ética Gestão da informação Revisão sistemática da literatura Transição digital Ethics Information management Systematic review Digital transition