Yanira Aranda Rubio, Juan José Baztán Cortés, Fernando Canillas Del Rey
{"title":"人工智能有年龄歧视吗？","authors":"Yanira Aranda Rubio, Juan José Baztán Cortés, Fernando Canillas Del Rey","doi":"10.1007/s41999-024-01070-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Generative Artificial Intelligence (AI) is a technological innovation with wide applicability in daily life, which could help elderly people. However, it raises potential conflicts, such as biases, omissions and errors.</p><p><strong>Methods: </strong>Descriptive study through the negative stereotypes towards aging questionnaire (CENVE) conducted on chatbots ChatGPT, Gemini, Perplexity, YOUChat, and Copilot was conducted.</p><p><strong>Results: </strong>Of the chatbots studied, three were above 50% in responses with negative stereotypes, Copilot with high ageism level results, followed by Perplexity. In the health section, Copilot was the chatbot with the most negative connotations regarding old age (13 out of 20 points). In the personality section, Copilot scored 14 out of 20, followed by YOUChat.</p><p><strong>Conclusion: </strong>The Copilot chatbot responded to the statements more ageistically than the other platforms. These results highlight the importance of addressing any potential biases in AI to ensure that the responses provided are fair and respectful for all potential users.</p>","PeriodicalId":49287,"journal":{"name":"European Geriatric Medicine","volume":" ","pages":"1957-1960"},"PeriodicalIF":3.5000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is Artificial Intelligence ageist?\",\"authors\":\"Yanira Aranda Rubio, Juan José Baztán Cortés, Fernando Canillas Del Rey\",\"doi\":\"10.1007/s41999-024-01070-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Generative Artificial Intelligence (AI) is a technological innovation with wide applicability in daily life, which could help elderly people. However, it raises potential conflicts, such as biases, omissions and errors.</p><p><strong>Methods: </strong>Descriptive study through the negative stereotypes towards aging questionnaire (CENVE) conducted on chatbots ChatGPT, Gemini, Perplexity, YOUChat, and Copilot was conducted.</p><p><strong>Results: </strong>Of the chatbots studied, three were above 50% in responses with negative stereotypes, Copilot with high ageism level results, followed by Perplexity. In the health section, Copilot was the chatbot with the most negative connotations regarding old age (13 out of 20 points). In the personality section, Copilot scored 14 out of 20, followed by YOUChat.</p><p><strong>Conclusion: </strong>The Copilot chatbot responded to the statements more ageistically than the other platforms. These results highlight the importance of addressing any potential biases in AI to ensure that the responses provided are fair and respectful for all potential users.</p>\",\"PeriodicalId\":49287,\"journal\":{\"name\":\"European Geriatric Medicine\",\"volume\":\" \",\"pages\":\"1957-1960\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Geriatric Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s41999-024-01070-2\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Geriatric Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s41999-024-01070-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/25 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Introduction: Generative Artificial Intelligence (AI) is a technological innovation with wide applicability in daily life, which could help elderly people. However, it raises potential conflicts, such as biases, omissions and errors.
Methods: Descriptive study through the negative stereotypes towards aging questionnaire (CENVE) conducted on chatbots ChatGPT, Gemini, Perplexity, YOUChat, and Copilot was conducted.
Results: Of the chatbots studied, three were above 50% in responses with negative stereotypes, Copilot with high ageism level results, followed by Perplexity. In the health section, Copilot was the chatbot with the most negative connotations regarding old age (13 out of 20 points). In the personality section, Copilot scored 14 out of 20, followed by YOUChat.
Conclusion: The Copilot chatbot responded to the statements more ageistically than the other platforms. These results highlight the importance of addressing any potential biases in AI to ensure that the responses provided are fair and respectful for all potential users.
期刊介绍：
European Geriatric Medicine is the official journal of the European Geriatric Medicine Society (EUGMS). Launched in 2010, this journal aims to publish the highest quality material, both scientific and clinical, on all aspects of Geriatric Medicine.
The EUGMS is interested in the promotion of Geriatric Medicine in any setting (acute or subacute care, rehabilitation, nursing homes, primary care, fall clinics, ambulatory assessment, dementia clinics..), and also in functionality in old age, comprehensive geriatric assessment, geriatric syndromes, geriatric education, old age psychiatry, models of geriatric care in health services, and quality assurance.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
