{"title":"人工智能的威胁:分析用户对在众包平台引入人工智能的反应","authors":"Mikhail Lysyakov, Siva Viswanathan","doi":"10.1287/isre.2022.1184","DOIUrl":null,"url":null,"abstract":"As artificial intelligence (AI) solutions are being rapidly deployed, they increasingly compete with human labor. This study examines designers’ strategies in response to the threat from the introduction of an AI system for simple logo designs in a crowdsourcing design platform. We find that, although designers with lower abilities are more likely to exit the platform, designers with higher abilities move away from the locus of threat in the lower-tier contests and switch to more-complex design contests after the introduction of the AI system. More interestingly, we find that, although unsuccessful designers respond to the threat from AI by increasing their participation across multiple contests, successful designers become more focused (i.e., they substantially increase the number of submissions within a contest) and more quality oriented (i.e., they increase emotional content and complexity of their designs) after the AI launch. Our findings show how designers can learn from the behaviors of the more successful designers to differentiate themselves from AI systems by leveraging the more-abstract design attributes. Platform operators would benefit from adopting better segmentations strategies: with AI solutions for simple design tasks, hybrid AI + human solutions for less-complex design tasks, and skilled human designers competing primarily for the more-complex design tasks.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"46 1","pages":"0"},"PeriodicalIF":5.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Threatened by AI: Analyzing Users’ Responses to the Introduction of AI in a Crowd-Sourcing Platform\",\"authors\":\"Mikhail Lysyakov, Siva Viswanathan\",\"doi\":\"10.1287/isre.2022.1184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As artificial intelligence (AI) solutions are being rapidly deployed, they increasingly compete with human labor. This study examines designers’ strategies in response to the threat from the introduction of an AI system for simple logo designs in a crowdsourcing design platform. We find that, although designers with lower abilities are more likely to exit the platform, designers with higher abilities move away from the locus of threat in the lower-tier contests and switch to more-complex design contests after the introduction of the AI system. More interestingly, we find that, although unsuccessful designers respond to the threat from AI by increasing their participation across multiple contests, successful designers become more focused (i.e., they substantially increase the number of submissions within a contest) and more quality oriented (i.e., they increase emotional content and complexity of their designs) after the AI launch. Our findings show how designers can learn from the behaviors of the more successful designers to differentiate themselves from AI systems by leveraging the more-abstract design attributes. Platform operators would benefit from adopting better segmentations strategies: with AI solutions for simple design tasks, hybrid AI + human solutions for less-complex design tasks, and skilled human designers competing primarily for the more-complex design tasks.\",\"PeriodicalId\":48411,\"journal\":{\"name\":\"Information Systems Research\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Systems Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/isre.2022.1184\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/isre.2022.1184","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Threatened by AI: Analyzing Users’ Responses to the Introduction of AI in a Crowd-Sourcing Platform
As artificial intelligence (AI) solutions are being rapidly deployed, they increasingly compete with human labor. This study examines designers’ strategies in response to the threat from the introduction of an AI system for simple logo designs in a crowdsourcing design platform. We find that, although designers with lower abilities are more likely to exit the platform, designers with higher abilities move away from the locus of threat in the lower-tier contests and switch to more-complex design contests after the introduction of the AI system. More interestingly, we find that, although unsuccessful designers respond to the threat from AI by increasing their participation across multiple contests, successful designers become more focused (i.e., they substantially increase the number of submissions within a contest) and more quality oriented (i.e., they increase emotional content and complexity of their designs) after the AI launch. Our findings show how designers can learn from the behaviors of the more successful designers to differentiate themselves from AI systems by leveraging the more-abstract design attributes. Platform operators would benefit from adopting better segmentations strategies: with AI solutions for simple design tasks, hybrid AI + human solutions for less-complex design tasks, and skilled human designers competing primarily for the more-complex design tasks.
期刊介绍:
ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.