Skip to main content
Erschienen in: Critical Care 1/2023

Open Access 01.12.2023 | Correspondence

Balancing caution and ınnovation: exploring the potential of large language models in critical decision-making

verfasst von: Izzet Turkalp Akbasli, Benan Bayrakci

Erschienen in: Critical Care | Ausgabe 1/2023

download
DOWNLOAD
print
DRUCKEN
insite
SUCHEN
Hinweise
This reply refers to the comment available online at https://​doi.​org/​10.​1186/​s13054-023-04393-x.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
To the Editor,
We recently read the thought-provoking paper by Azamfirei et al. [1], which delved into the limitations and ethical implications of using ChatGPT in critical decision-making processes. While we appreciate the authors' concerns and the importance of exercising caution when using language models like ChatGPT, we would like to highlight some alternative perspectives on this rapidly evolving technology.
To begin, we agree with the authors that new technologies should not be blindly adopted without proper understanding and evaluation. It is indeed crucial to be aware of the strengths and limitations of tools like ChatGPT, as well as their potential impact on various fields. However, it is also important to consider the remarkable advancements that have been made in recent years and the beneficial applications of language models.
For instance, following two major earthquakes in Turkey, OpenAI's GPT model [2] was employed to identify survivors' locations, as reported on Twitter. As a result, nearly thousand of people were rescued from the wreckage. This example demonstrates that when used appropriately and with human supervision, language models like ChatGPT can play a significant role in disaster management, public health, and other critical areas.
Furthermore, the authors' comparison of ChatGPT to a self-driving system navigating a rocket to low earth orbit offers a valuable perspective. While it is true that we should not use a tool designed for one purpose in an entirely different context, it is also essential to recognize the potential of these models to be adapted and improved for specific tasks. The development of specialized systems for summarizing scientific articles, for example, is not far-fetched and can significantly benefit researchers and practitioners across disciplines [3].
It is worth noting that the adoption of technology often follows a pattern of initial resistance, gradual acceptance, and eventual obsolescence as newer, better solutions emerge [4]. A prime example of this can be seen in the 1988 protest actions by mathematics teachers in the USA, who sought to ban the use of calculators in primary schools, as well as Fig. 1. [5]. Fast forward to the present day, the use of calculators has become far less prevalent, particularly in educational settings, as more advanced devices have rendered them almost obsolete.
In conclusion, we would like to express my gratitude to Azamfirei et al. for raising essential questions and concerns about the use of language models like ChatGPT. As technology advances at an accelerating pace, it is our collective responsibility to ensure that we understand, evaluate, and harness these tools for the betterment of society. By engaging in constructive discussions like the one initiated by the authors, we can work together to strike a balance between caution and innovation, ultimately making the most of the potential offered by emerging technologies.

Declarations

Ethical approval

As this manuscript does not involve the use of human participants, patients, or animals, ethical approval is not applicable.

Competing interests

The authors declare that they have no competing interests of a financial or personal nature that could have influenced the outcome of this study.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
2.
Zurück zum Zitat Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, et al. Language models are few-shot learners. Adv Neural Inf Process Syst. 2020;33:1877–901. Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, et al. Language models are few-shot learners. Adv Neural Inf Process Syst. 2020;33:1877–901.
3.
Zurück zum Zitat Kieuvongngam V, Tan B, Niu Y. Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2. 2020. Kieuvongngam V, Tan B, Niu Y. Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2. 2020.
4.
Zurück zum Zitat Cascella M, Montomoli J, Bellini V, Bignami E. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. J Med Syst. 2023;47:33.CrossRefPubMedPubMedCentral Cascella M, Montomoli J, Bellini V, Bignami E. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. J Med Syst. 2023;47:33.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Lawrance J. Math teachers protest against calculator use. The Daily Item. 1988;10. Lawrance J. Math teachers protest against calculator use. The Daily Item. 1988;10.
Metadaten
Titel
Balancing caution and ınnovation: exploring the potential of large language models in critical decision-making
verfasst von
Izzet Turkalp Akbasli
Benan Bayrakci
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
Critical Care / Ausgabe 1/2023
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-023-04447-0

Weitere Artikel der Ausgabe 1/2023

Critical Care 1/2023 Zur Ausgabe

Blutdrucksenkung schon im Rettungswagen bei akutem Schlaganfall?

31.05.2024 Apoplex Nachrichten

Der optimale Ansatz für die Blutdruckkontrolle bei Patientinnen und Patienten mit akutem Schlaganfall ist noch nicht gefunden. Ob sich eine frühzeitige Therapie der Hypertonie noch während des Transports in die Klinik lohnt, hat jetzt eine Studie aus China untersucht.

Ähnliche Überlebensraten nach Reanimation während des Transports bzw. vor Ort

29.05.2024 Reanimation im Kindesalter Nachrichten

Laut einer Studie aus den USA und Kanada scheint es bei der Reanimation von Kindern außerhalb einer Klinik keinen Unterschied für das Überleben zu machen, ob die Wiederbelebungsmaßnahmen während des Transports in die Klinik stattfinden oder vor Ort ausgeführt werden. Jedoch gibt es dabei einige Einschränkungen und eine wichtige Ausnahme.

Nicht Creutzfeldt Jakob, sondern Abführtee-Vergiftung

29.05.2024 Hyponatriämie Nachrichten

Eine ältere Frau trinkt regelmäßig Sennesblättertee gegen ihre Verstopfung. Der scheint plötzlich gut zu wirken. Auf Durchfall und Erbrechen folgt allerdings eine Hyponatriämie. Nach deren Korrektur kommt es plötzlich zu progredienten Kognitions- und Verhaltensstörungen.

Häusliche Gewalt in der orthopädischen Notaufnahme oft nicht erkannt

28.05.2024 Häusliche Gewalt Nachrichten

In der Notaufnahme wird die Chance, Opfer von häuslicher Gewalt zu identifizieren, von Orthopäden und Orthopädinnen offenbar zu wenig genutzt. Darauf deuten die Ergebnisse einer Fragebogenstudie an der Sahlgrenska-Universität in Schweden hin.

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.