{"title":"人工智能和创造性思维,创意产生的未来","authors":"Teimuraz Goderdzishvili Teimuraz Goderdzishvili","doi":"10.36962/ecs105/3-4/2023-63","DOIUrl":null,"url":null,"abstract":"Artificial intelligence has been the most successful modern technology created in recent years. Its development began in the 1960s and was based on simulating the human brain. The scientific community's interest has focused on developing machine-learning neural networks and their potential applications in music, art, architecture, and other fields. AI is increasingly capable of generating creative ideas and assisting humans in decision-making processes. With advanced algorithms, machine learning, and natural language processing, AI has the potential to revolutionize creative thinking. In this article, there is discussed whether AI can generate creative ideas and how expressive and creative these ideas can be. AI technologies can be used in creative industries such as content creation, information analysis, information retrieval, and processing.\nThe purpose of new technologies is to automate specific processes, simplify them, maintain accuracy, and reduce production costs. In some cases, they enable us to complete tasks or solve problems that were previously impossible. AI is a set of codes, methods, algorithms, and other data that allow a computer system to imitate human behavior and make human-like decisions. AI systems widely use data compression and storage capabilities, which enable them to process information by observing human actions and behaviors.\nTo generate creative ideas, AI requires a different level of training and expertise, a faster rate of information processing, and high-quality analysis. Advances in AI largely depend on data relevance. Human creative thinking often uses imagination to generate original ideas that may not follow general rules. Creative tasks usually require originality of thought and innovation, which can be challenging to replicate with AI systems.\nArtificial intelligence has shown mixed results in both original creative and automated work processes. However, it is increasingly being associated with human creativity and original thinking. Over the decades, numerous studies have been conducted on the use of artificial intelligence in the creative field.\nKeywords: Creative idea, digital technologies, artificial intelligence, machine learning language (NLP).","PeriodicalId":47220,"journal":{"name":"Economics & Politics","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence and Creative Thinking, the Future of Idea Generation\",\"authors\":\"Teimuraz Goderdzishvili Teimuraz Goderdzishvili\",\"doi\":\"10.36962/ecs105/3-4/2023-63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence has been the most successful modern technology created in recent years. Its development began in the 1960s and was based on simulating the human brain. The scientific community's interest has focused on developing machine-learning neural networks and their potential applications in music, art, architecture, and other fields. AI is increasingly capable of generating creative ideas and assisting humans in decision-making processes. With advanced algorithms, machine learning, and natural language processing, AI has the potential to revolutionize creative thinking. In this article, there is discussed whether AI can generate creative ideas and how expressive and creative these ideas can be. AI technologies can be used in creative industries such as content creation, information analysis, information retrieval, and processing.\\nThe purpose of new technologies is to automate specific processes, simplify them, maintain accuracy, and reduce production costs. In some cases, they enable us to complete tasks or solve problems that were previously impossible. AI is a set of codes, methods, algorithms, and other data that allow a computer system to imitate human behavior and make human-like decisions. AI systems widely use data compression and storage capabilities, which enable them to process information by observing human actions and behaviors.\\nTo generate creative ideas, AI requires a different level of training and expertise, a faster rate of information processing, and high-quality analysis. Advances in AI largely depend on data relevance. Human creative thinking often uses imagination to generate original ideas that may not follow general rules. Creative tasks usually require originality of thought and innovation, which can be challenging to replicate with AI systems.\\nArtificial intelligence has shown mixed results in both original creative and automated work processes. However, it is increasingly being associated with human creativity and original thinking. Over the decades, numerous studies have been conducted on the use of artificial intelligence in the creative field.\\nKeywords: Creative idea, digital technologies, artificial intelligence, machine learning language (NLP).\",\"PeriodicalId\":47220,\"journal\":{\"name\":\"Economics & Politics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economics & Politics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.36962/ecs105/3-4/2023-63\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics & Politics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.36962/ecs105/3-4/2023-63","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Artificial Intelligence and Creative Thinking, the Future of Idea Generation
Artificial intelligence has been the most successful modern technology created in recent years. Its development began in the 1960s and was based on simulating the human brain. The scientific community's interest has focused on developing machine-learning neural networks and their potential applications in music, art, architecture, and other fields. AI is increasingly capable of generating creative ideas and assisting humans in decision-making processes. With advanced algorithms, machine learning, and natural language processing, AI has the potential to revolutionize creative thinking. In this article, there is discussed whether AI can generate creative ideas and how expressive and creative these ideas can be. AI technologies can be used in creative industries such as content creation, information analysis, information retrieval, and processing.
The purpose of new technologies is to automate specific processes, simplify them, maintain accuracy, and reduce production costs. In some cases, they enable us to complete tasks or solve problems that were previously impossible. AI is a set of codes, methods, algorithms, and other data that allow a computer system to imitate human behavior and make human-like decisions. AI systems widely use data compression and storage capabilities, which enable them to process information by observing human actions and behaviors.
To generate creative ideas, AI requires a different level of training and expertise, a faster rate of information processing, and high-quality analysis. Advances in AI largely depend on data relevance. Human creative thinking often uses imagination to generate original ideas that may not follow general rules. Creative tasks usually require originality of thought and innovation, which can be challenging to replicate with AI systems.
Artificial intelligence has shown mixed results in both original creative and automated work processes. However, it is increasingly being associated with human creativity and original thinking. Over the decades, numerous studies have been conducted on the use of artificial intelligence in the creative field.
Keywords: Creative idea, digital technologies, artificial intelligence, machine learning language (NLP).
期刊介绍:
Economics & Politics focuses on analytical political economy, broadly defined as the study of economic and political phenomena and policy in models that include political processes, institutions and markets. The journal is the source for innovative theoretical and empirical work on the intersection of politics and economics, at both domestic and international levels, and aims to promote new approaches on how these forces interact to affect political outcomes and policy choices, economic performance and societal welfare. Economics & Politics is a vital source of information for economists, academics and students, providing: - Analytical political economics - International scholarship - Accessible & thought-provoking articles - Creative inter-disciplinary analysis