Przeglądanie według Temat "ChatGPT"

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Artificial Intelligence and Ethics
(The University of Rzeszów Publishing House, 2023-12) Hilcenko, Christine; Taubman-Bassirian, Tara
A more covert aspect of Artificial Intelligence (AI) pertains to the ethical quandaries surrounding the actions of machines. In the case of Large Language Models (LLMs), hidden beneath their seemingly impeccable automated outputs lies a colossal amalgamation of trillions of compiled data points, comprising copied blogs, articles, essays, books, and artworks. This raises profound questions about copyright ownership and retribution for the original authors. But beyond intellectual property, another insidious facet of LLMs emerges – their propensity to cause harm to individuals through what can only be described as hallucinatory outputs. Victims of these AI- -generated delusions suffer defamation, and their plight remains largely unnoticed. Amidst the marvels of AI, the plight of the underpaid laborers who form the backbone of AI development is seldom acknowledged, a subject that warrants more profound discussion. Furthermore, as AI algorithms continue to permeate various aspects of society, they bring to the fore issues of bias. For instance, facial recognition technologies frequently exhibit skewed outcomes, leading to false accusations and grave consequences due to over-reliance on these technologies.
ChatGPT – potrzebne narzędzie czy przekleństwo naszych czasów?
(Wydawnictwo Uniwersytetu Rzeszowskiego, 2023-11) Czerski, Wojciech Marcin
Dynamiczny rozwój sztucznej inteligencji i integracja jej z wieloma usługami, z których codziennie korzysta miliony osób na całym świecie stała się faktem. Rosnąca popularność generatorów opartych na AI takich jak np. ChatGPT skłania do refleksji nad przyszłością procesu edukacji. Wprowadzenie zakazów ich stosowania przyniesie zapewne odwrotny do zamierzonego skutek. Jednak, jak pokazuje eksperyment Jordana Petersona, generatory językowe są już tak zaawansowane, że mogą przygotować teksty, które trudno jest odróżnić od tych napisanych przez człowieka. Dlatego też nie można dać dowolności w stosowaniu tych narzędzi przez uczniów i nauczycieli, bez wcześniejszego wyposażenia ich w odpowiednie umiejętności np. krytycznego myślenia.
ChatGPT in hospital infection prevention and control – assessing knowledge of an AI model based on a validated questionnaire
(Publishing Office of the University of Rzeszow, 2024-06) Jawanpuria, Ankita; Behera, Aruna Rani; Dash, Chinmaya; Rahman, Mohammad Hifz Ur
Introduction and aim. An AI model like ChatGPT is a good source of knowledge. We can explore the potential of AI models to complement the expertise of healthcare professionals by providing real-time, evidence-based information in infection prevention and control (IPC). Material and methods. This study involved 110 queries related to IPC, validated by subject experts in IPC. The responses from ChatGPT were evaluated using Bloom’s taxonomy by experienced microbiologists. The scores were divided as 4 as a good response. Statistical analysis was done by correlation coefficient and Cohen’s Kappa. Results. The overall score was 4.33 (95% CI, q1 3.65–q3 4.64) indicating ChatGPT’s substantial IPC knowledge. A good response (i.e.>4 score) was found in 70 (63.6%) questions, while in 10 (9%) questions, it showed a poor response. The poor response was seen in needle stick injury and personal protective equipment (PPE) doffing-related questions. The overall correlations were found to be significant. Cohen’s Kappa confirmed moderate to substantial agreement between evaluators. Conclusion. ChatGPT demonstrated a commendable understanding of IPC principles in various domains and the study identifies specific instances where the model may require further refinement especially in critical scenarios such as needlestick injuries and PPE doffing.