Challenges of Integrating Artificial Intelligence Into Testing Laboratories.

Izzivi integracije umetne inteligence v preskuševalne laboratorije. (Slovenian)

Research Question (RQ): How do testing laboratories use artificial intelligence (AI) and what challenges arise from the use of AI tools?. Purpose: To investigate the use of AI in Slovenian and Croatian testing laboratories, to analyse the impact of the complexity of measurement methods and equipment and to predict trends in this area. Method: A questionnaire was developed for the study. Representatives of 125 randomly selected testing laboratories in Slovenia and Croatia performing accreditation activities according to SIST EN ISO/IEC 17025:2017 were invited to participate. In addition to descriptive statistics, the Kruskal-Wallis and Mann-Whitney U tests were used to analyse the data. Results: 44 laboratories responded. The survey shows that most testing laboratories expect increased use of AI tools in the future and that laboratory staff recognise the benefits in terms of efficiency, accuracy and error reduction. However, according to the participants, the use of AI in Slovenian and Croatian laboratories is still limited due to the lack of qualified personnel, technical limitations and high initial costs. Laboratories that have more sophisticated measuring equipment perceive AI tools differently than laboratories that do not operate such equipment. The challenge for the future is to use AI to improve the quality of laboratory services, increase efficiency, improve progress and limit costs. Organisation: The use of AI enables the development of new business models based on the automation and digitalisation of laboratory processes. Research enables organisations to better understand and exploit the potential of AI. Society: For society, research can bring many benefits that improve the quality of life, promote economic and technological development and contribute to sustainable development and progress. Originality: The research topic is unexplored in Slovenia and Croatia, and even in the international environment such concrete research is still quite limited. Limitations/further research: Only a limited number of Slovenian and Croatian testing laboratories were included in the study, which could limit the generalization of the conclusions at the global level. It would make sense to carry out further research in a wider geographical area. As well as focus further research on determining the economic impact of using AI in laboratories, on determining the effectiveness and reliability of measurements, on studies to identify long-term research opportunities, the development of analytical methods using AI, a more in-depth analysis of differences between laboratories taking into account AI approaches and the analysis of cultural, economic and regulatory factors. [ABSTRACT FROM AUTHOR]

Raziskovalno vprašanje (RV): Na kakšen način preskuševalni laboratoriji uporabljajo umetno inteligenco (UI) in s kakšnimi izzivi se pri tem srečujejo?. Namen: Raziskati uporabo UI v slovenskih in hrvaških preskuševalnih laboratorijih, preveriti vpliv kompleksnosti merilnih metod in merilne opreme ter predvideti trende na tem področju. Metoda: Za raziskavo je bil razvit anketni vprašalnik. V raziskavo so bili povabljeni predstavniki 125 naključno izbranih preskuševalnih laboratorijev iz Slovenije in Hrvaške, ki izvajajo akreditacijsko dejavnost po SIST EN ISO/IEC 17025:2017. Poleg deskriptivne in frekvenčne statistike sta bila za ovrednotenje podatkov uporabljena Kruskal-Wallis test in Mann-Whitney U test. Rezultati: Odzvalo se je 44 laboratorijev. Raziskava je potrdila, da večina preskuševalnih laboratorijev pričakuje povečano uporabo orodij UI v prihodnosti, laboratorijsko osebje prepoznava prednosti v učinkovitosti, natančnosti in zmanjšanju napak. Vendar pa je uporaba UI v slovenskih in hrvaških laboratorijih še omejena, po mnenju sodelujočih zaradi pomanjkanja usposobljenega osebja, tehničnih omejitev in visokih začetnih stroškov. Laboratoriji z zahtevnejšo merilno opremo orodja UI dojemajo drugače kot tisti, ki s takšno opremo ne upravljajo. Izziv za bodoče je uporaba UI z namenom povečanja kakovosti storitev laboratorijev, za večjo učinkovitost, napredek in omejevanje stroškov. Organizacija: Uporaba UI omogoča razvoj novih poslovnih modelov, ki temeljijo na avtomatizaciji in digitalizaciji laboratorijskih procesov. Raziskava omogoča organizacijam, da bolje razumejo in izkoristijo potencial UI. Družba: Za družbo lahko raziskava prinese številne koristi, ki izboljšujejo kakovost življenja, spodbujajo gospodarski in tehnološki razvoj ter prispevajo k trajnostnemu razvoju in napredku družbe kot celote. Originalnost: Obravnavano področje raziskav je v Sloveniji in na Hrvaškem neraziskano, tudi za mednarodno okolje so takšne konkretne raziskave še precej omejene. Omejitve/nadaljnje raziskovanje: V raziskavo je bilo vključeno omejeno število slovenskih in hrvaških preskuševalnih laboratorijev, kar bi lahko omejilo posploševanje zaključkov na globalni ravni. Nadaljnje raziskave bi bilo zato smiselno izvesti na širšem geografskem področju. Tudi v ugotavljanje ekonomskih vplivov uporabe UI v laboratorijih, v ugotavljanje učinkovitosti in zanesljivosti meritev, v študije, kjer bi ugotavljali dolgoročne raziskovalne možnosti in razvoj analitičnih metod z uporabo UI, bolj poglobljeno analizo razlik med laboratoriji upoštevajoč pristope UI ter analizo kulturnih, gospodarskih in regulativnih dejavnikov na uporabo UI. [ABSTRACT FROM AUTHOR]

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