ChatGPT is used most widely among those between 25 and 34 around the world. The youngest group, those under 24, are the second largest userbase, and together those under 34 account for over 60 percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over 65 percent of total users in 2023.

As of April 2023, more than 2.85 million Poles were using ChatGPT.

In January 2024, ChatGPT online domain chat.openai.com registered over 19.4 percent of its traffic as originating in the United States. Users based in Indonesia generated approximately 11.7 percent of the total visits to the chatbot platform, while users in Indonesia accounted for 6.3 percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than five percent of the total traffic recorded in the examined period.

According to February and March 2023 survey, 85 percent of the respondents never used ChatGPT nor know what it is. Five percent already used ChatGPT, while 10 percent have not but have already heard about it.

In January 2023, ChatGPT registered over nine million interactions from users in Italy, up by over 300 percent compare to the previous month. By comparison, the OpenAI website registered 1.2 million actions performed by Italian users. At the end of March 2023, the main national privacy regulator in Italy prompted OpenAI to provide information on how and why the company collects user data, if the company wanted to avoid seeing its access to the Italian market blocked.

A 2023 survey found that approximately 39 percent of respondents in Indonesia reported using ChatGPT on a weekly basis for various purposes, from work to entertainment. Meanwhile, around 30 percent of respondents stated that they rarely used ChatGPT.

In January 2024, ChatGPT saw approximately 484.82 million visits from users worldwide to its web address, chat.openai.com. This represents a slight decrease from the previous year, when global traffic to the popular chatbot website reached over 650 million monthly visits in May 2023, coinciding with the release of the software's mobile app for the App Store.

Annual users of ChatGPT worldwide are expected to grown considerably in the coming months. In 2022, around 57 million people used ChatGPT, with this number increasing to roughly 100 million by January 2023.

Survey data on ChatGPT Earns the Confidence of Users

In a survey conducted across four Southeast Asian countries in February 2023, almost half of the respondents selected collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, ethical issues related to data privacy and intellectual property were a concern for 42 percent of the respondents.

Objective: Our objective is to evaluate the efficacy of ChatGPT 4 in accurately and effectively delivering genetic information, building on previous findings with ChatGPT 3.5. We focus on assessing the utility, limitations, and ethical implications of using ChatGPT in medical settings. Materials and Methods: A structured questionnaire, including the Brief User Survey (BUS-15) and custom questions, was developed to assess ChatGPT 4's clinical value. An expert panel of genetic counselors and clinical geneticists independently evaluated ChatGPT 4's responses to these questions. We also involved comparative analysis with ChatGPT 3.5, utilizing descriptive statistics and using R for data analysis. Results: ChatGPT 4 demonstrated improvements over 3.5 in context recognition, relevance, and informativeness. However, performance variability and concerns about the naturalness of the output were noted. No significant difference in accuracy was found between ChatGPT 3.5 and 4.0. Notably, the efficacy of ChatGPT 4 varied significantly across different genetic conditions, with specific differences identified between responses related to BRCA1 and HFE. Discussion and Conclusion: This study highlights ChatGPT 4's potential in genomics, noting significant advancements over its predecessor. Despite these improvements, challenges remain, including the risk of outdated information and the necessity of ongoing refinement. The variability in performance across different genetic conditions underscores the need for expert oversight and continuous AI training. ChatGPT 4, while showing promise, emphasizes the importance of balancing technological innovation with ethical responsibility in healthcare information delivery. Methods Study Design This study was conducted to evaluate the performance of ChatGPT 4 (March 23rd, 2023) Model) in the context of genetic counseling and education. The evaluation involved a structured questionnaire, which included questions selected from the Brief User Survey (BUS-15) and additional custom questions designed to assess the clinical value of ChatGPT 4's responses. Questionnaire Development The questionnaire was built on Qualtrics, which comprised twelve questions: seven selected from the BUS-15 preceded by two additional questions that we designed. The initial questions focused on quality and answer relevancy: 1. The overall quality of the Chatbot’s response is: (5-point Likert: Very poor to Very Good) 2. The Chatbot delivered an answer that provided the relevant information you would include if asked the question. (5-point Likert: Strongly disagree to Strongly agree) The BUS-15 questions (7-point Likert: Strongly disagree to Strongly agree) focused on: 1. Recognition and facilitation of users’ goal and intent: Chatbot seems able to recognize the user’s intent and guide the user to its goals. 2. Relevance of information: The chatbot provides relevant and appropriate information/answer to people at each stage to make them closer to their goal. 3. Maxim of quantity: The chatbot responds in an informative way without adding too much information. 4. Resilience to failure: Chatbot seems able to find ways to respond appropriately even when it encounters situations or arguments it is not equipped to handle. 5. Understandability and politeness: The chatbot seems able to understand input and convey correct statements and answers without ambiguity and with acceptable manners. 6. Perceived conversational credibility: The chatbot responds in a credible and informative way without adding too much information. 7. Meet the neurodiverse needs: Chatbot seems able to meet needs and be used by users independently form their health conditions, well-being, age, etc. Expert Panel and Data Collection A panel of experts (two genetic counselors and two clinical geneticists) was provided with a link to the survey containing the questions. They independently evaluated the responses from ChatGPT 4 without discussing the questions or answers among themselves until after the survey submission. This approach ensured unbiased evaluation.

Regression models for usage, visits and adoption of ChatGPT.

🧠 Awesome ChatGPT Prompts [CSV dataset]

This is a Dataset Repository of Awesome ChatGPT Prompts View All Prompts on GitHub

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In September 2024, ChatGPT’s mobile app registered over 32.06 million App Store and Google Play downloads worldwide. Released on February 8, 2024, and initially available in the U.S. market only, Google’s Gemini AI Assistant mobile app registered around 12.67 downloads in the same month.

Background: Several chatbots that utilize large language models now exist. As a particularly well-known example, ChatGPT employs an autoregressive modeling process to generate responses, predicting the next word based on previously derived words. Consequently, instead of deducing a correct answer, it arranges the most frequently appearing words in the learned data in order. Optimized for interactivity and content generation, it presents a smooth and plausible context, regardless of whether the content it presents is true. This report aimed to examine the reliability of ChatGPT, an artificial intelligence (AI) chatbot, in diagnosing diseases and treating patients, how to interpret its responses, and directions for future development.Current Concepts: Ten published case reports from Korea were analyzed to evaluate the efficacy of ChatGPT, which was asked to describe the correct diagnosis and treatment. ChatGPT answered 3 cases correctly after being provided with the patient’s symptoms, findings, and medical history. The accuracy rate increased to 7 out of 10 after adding laboratory, pathological, and radiological results. In one case, ChatGPT did not provide appropriate information about suitable treatment, and its response contained inappropriate content in 4 cases. In contrast, ChatGPT recommended appropriate measures in 4 cases.Discussion and Conclusion: ChatGPT’s responses to the 10 case reports could have been better. To utilize ChatGPT efficiently and appropriately, users should possess sufficient knowledge and skills to determine the validity of its responses. AI chatbots based on large language models will progress significantly, but physicians must be vigilant in using these tools in practice.

ChatGPT, a form of natural language processing (NLP), undergoes training using extensive textual datasets and subsequently exhibits the capacity to produce human-like content with notable precision when presented with user prompt (Dwivedi et al., 2023) Ever since its public debut in November 2022, ChatGPT has gained the attention of users across various domains due to its abilities and potential adverse effects. Among these domains is the nursing profession, which holds significant prominence within the realm of healthcare. The employment of ChatGPT has ignited extensive conversations, encompassing both challenges and opportunities within the nursing profession. One of the highlighted opportunities is the potential utilization of ChatGPT to effectively aid frontline nurses, particularly in managing time-intensive responsibilities within care settings. Additionally, it presents advantages for addressing prevalent issues in healthcare systems, such as the scarcity of health professionals, clinician burnout (Kleebayoon and Wiwanitkit, 2023; Scerri and Morin, 2023; Sun and Hoelscher, 2023). However, there are challenges to consider. These include the ChatGPT' potential biases, ethical considerations, privacy concerns, cybersecurity vulnerabilities, and environmental impacts (Abdulai and Hung, 2023; Alkhaqani, 2023). The field of nursing is constantly changing, requiring nurses to stay up-to-date with the latest advancements and adjust to them while maintaining their dedication to delivering high-quality healthcare (Buchanan et al., 2020; Booth et al., 2021). Gaining consciousness regarding the potential negative impacts in conjunction with the advantages offered by ChatGPT across diverse domains, ranging from nursing education to its tangible application and utilization in nursing care, holds the utmost significance. Innovative technologies, shifts in healthcare delivery approaches, and the increasing emphasis on collaborative and patient-centered care. In order to thrive in this evolving landscape, nurses must stay informed about these developments and be prepared to adapt their skills and practices while upholding their commitment to providing excellent patient care . Nurses should be aware of both the usage areas and benefits of ChatGPT on one hand, and the potential negative impacts on the other hand. Therefore, staying updated on the current literature comprehensively is essential. In this relatively new field, relying on the literature will be beneficial for guiding studies and initiatives (Ahmed, 2023; Sun and Hoelscher, 2023; Teixeira da Silva, 2023). There are numerous questions awaiting responses regarding the utilization of ChatGPT and its potential impact on the trajectory of future nursing care. To address these questions, capturing a snapshot of the existing literature and exploring research gaps would prove beneficial for researchers.

Unsurprisingly, those between 18 and 24 were the most likely to use ChatGPT among the various age groups. This is likely due to younger people adopting tech at a faster rate than older generations.

Dataset Card for "Collective Cognition ChatGPT Conversations"

  Dataset Description







  Dataset Summary

The "Collective Cognition ChatGPT Conversations" dataset is a collection of chat logs between users and the ChatGPT model. These conversations have been shared by users on the "Collective Cognition" website. The dataset provides insights into user interactions with language models and can be utilized for multiple purposes, including training, research… See the full description on the dataset page: https://huggingface.co/datasets/CollectiveCognition/chats-data-2023-10-16.

According to the survey conducted in May 2023 in Taiwan, nearly 74 percent of internet users had never used ChatGPT in the past three months. In comparison, 4.6 percent of users had often or always used ChatGPT.

Posterior analysis of predictors influencing decision-making using Bayesian linear regression (n = 563).