Odos Vėžio Diagnostika Ir Dirbtinis Intelektas

Janušonytė, Eglé

doi:10.35988/sm-hs.2021.103

Cited by 1 publication

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Lithuania, research is conducted on AI application in medical diagnosis (Janušonytė, 2021;Venclovaitė, D., Stramkauskaitė, A., Kuzmienė, 2022); the possible impact of AI on different aspects of human consciousness is discussed from a philosophical perspective (Vidauskytė, 2021); challenges raised by AI are analysed in constitutional law, the influence of AI on human rights in law enforcement activities, etc. (Juškevičiūtė-Vilienė, 2020;Skardžiūtė, 2018;Zakaras, 2022).…”

Section: Current Researchmentioning

confidence: 99%

“…There are known cases where AI systems are applied in law enforcement institutions: police, border guard services, prison department, and other state institutions (Zakaras, 2022), as well as in the health sector, for example in diagnosing diseases (Janušonytė, 2021;Venclovaitė, D., Stramkauskaitė, A., Kuzmienė, 2022) and the business sector (European Commission, 2022), but there are no cases of AI application in the social services sector. It seems that AI development in Lithuania is prioritized in the financial sector.…”

Section: Status Quo Of the Digitization Of The Lithuanian Public Sectormentioning

confidence: 99%

See 1 more Smart Citation

Conceptual framework for ethical artificial intelligence development in social services sector

Seniutis,

Gružauskas,

Lileikiene

et al. 2024

View full text Add to dashboard Cite

This research explores the domain of Artificial Intelligence (AI) for social good, with a particular emphasis on its application in social welfare and service delivery. The study seeks to establish a universal conceptual framework for ethically integrating AI into the social services sector, recognizing the sector's significant yet underexplored potential for AI utilization. The objective is to develop a comprehensive framework applicable to the ethical deployment of AI in social services, using Lithuania as a case study to illustrate its practicality. This involves analysing the political discourse on AI, examining its applications in social welfare, identifying ethical challenges, evaluating the digitalization progress in Lithuania's public services, and formulating guidelines for AI integration at various stages of delivering social services. Our methodology is rooted in document analysis, encompassing a thorough review of both normative and scientific literature pertinent to the ethical application of AI in social welfare. Key findings reveal that AI's anticipated positive impacts on diverse social and economic areas, as highlighted in political declarations, are being partially realized, as corroborated by scientific studies. Although the global application of AI in social welfare is expanding, Lithuania presents a unique case with its strategic planning gaps in this sector. The developed conceptual framework offers vital criteria for the ethical implementation of AI systems designed to be universally applicable to various stages of social services, accommodating different AI applications, client groups, and institutional environments.

show abstract