Pub Date : 2024-01-08DOI: 10.1109/mis.2024.3350628
Houwang Zhang, Leanne Lai Hang Chan
{"title":"Overcoming the Challenges of Long-tail Distribution in Night-time Vehicle Detection","authors":"Houwang Zhang, Leanne Lai Hang Chan","doi":"10.1109/mis.2024.3350628","DOIUrl":"https://doi.org/10.1109/mis.2024.3350628","url":null,"abstract":"","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":6.4,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139948819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-08DOI: 10.1109/mis.2023.3324470
Fang Chen, Jianlong Zhou, Andreas Holzinger, Kenneth R. Fleischmann, Simone Stumpf
Despite the proliferation of ethical frameworks of artificial intelligence (AI) from different organizations such as government agencies, large corporations, and academic institutions, it is still a challenge to implement and operationalize ethical and legal frameworks for AI in practice due to its complexities. The implementation and operationalization involve different aspects in original theoretical and practical research on designing, developing, presenting, testing, and evaluating approaches, which are supported by advanced AI techniques and interdisciplinary research, in particular, social science, law, and cognitive science. This editorial provides an overview of the field of operationalization of AI ethics and trust, and highlights a few key topics covered in this special issue, i.e., the current landscape of AI ethics implementation, trust and trustworthiness in AI, ethical framework for trust calibration, approaches to build morality in AI, implementation of AI ethics with a pattern-oriented engineering approach, and inclusive user studies.
{"title":"Artificial Intelligence Ethics and Trust: From Principles to Practice","authors":"Fang Chen, Jianlong Zhou, Andreas Holzinger, Kenneth R. Fleischmann, Simone Stumpf","doi":"10.1109/mis.2023.3324470","DOIUrl":"https://doi.org/10.1109/mis.2023.3324470","url":null,"abstract":"Despite the proliferation of ethical frameworks of artificial intelligence (AI) from different organizations such as government agencies, large corporations, and academic institutions, it is still a challenge to implement and operationalize ethical and legal frameworks for AI in practice due to its complexities. The implementation and operationalization involve different aspects in original theoretical and practical research on designing, developing, presenting, testing, and evaluating approaches, which are supported by advanced AI techniques and interdisciplinary research, in particular, social science, law, and cognitive science. This editorial provides an overview of the field of operationalization of AI ethics and trust, and highlights a few key topics covered in this special issue, i.e., the current landscape of AI ethics implementation, trust and trustworthiness in AI, ethical framework for trust calibration, approaches to build morality in AI, implementation of AI ethics with a pattern-oriented engineering approach, and inclusive user studies.","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":6.4,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138689973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-08DOI: 10.1109/mis.2023.3329555
{"title":"IEEE Computer Society Has You Covered!","authors":"","doi":"10.1109/mis.2023.3329555","DOIUrl":"https://doi.org/10.1109/mis.2023.3329555","url":null,"abstract":"","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":6.4,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142222361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-08DOI: 10.1109/mis.2023.3329745
Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
In recent years, artificial intelligence (AI) research has showcased tremendous potential to positively impact humanity and society. Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision making, sense disambiguation, sarcasm detection, and narrative understanding as these require advanced kinds of reasoning, e.g., common-sense reasoning and causal reasoning, which have not been emulated satisfactorily yet. To address these shortcomings, we propose seven pillars that we believe represent the key hallmark features for the future of AI, namely, multidisciplinarity, task decomposition, parallel analogy, symbol grounding, similarity measure, intention awareness, and trustworthiness.
{"title":"Seven Pillars for the Future of Artificial Intelligence","authors":"Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho","doi":"10.1109/mis.2023.3329745","DOIUrl":"https://doi.org/10.1109/mis.2023.3329745","url":null,"abstract":"In recent years, artificial intelligence (AI) research has showcased tremendous potential to positively impact humanity and society. Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision making, sense disambiguation, sarcasm detection, and narrative understanding as these require advanced kinds of reasoning, e.g., common-sense reasoning and causal reasoning, which have not been emulated satisfactorily yet. To address these shortcomings, we propose seven pillars that we believe represent the key hallmark features for the future of AI, namely, multidisciplinarity, task decomposition, parallel analogy, symbol grounding, similarity measure, intention awareness, and trustworthiness.","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":6.4,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138576367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-08DOI: 10.1109/mis.2023.3284694
Jing Yang, Xiao Wang, Yonglin Tian, Xiao Wang, Fei-Yue Wang
The recent debut and success of ChatGPT have brought up renewed debates and desires for artificial general intelligence (AGI) amid fears and anxieties of potential disruptions to our humanity and social values, as witnessed by the call from tech celebrities for a pause in the development of ChatGPT-style AGI tools. At the IEEE IS’ AI and CPSS Department, we would like to initiate cautious, balanced, hopefully deep investigations to address various related issues on the impact and significance of intelligent science and technology to our economy and society. Let’s start with the “three Bs” and “ACP” for parallel intelligence in CPSSs: Being by artificial systems (A), Becoming through computational experiments (C), and Believing with parallel execution (P).
{"title":"Parallel Intelligence in CPSSs: Being, Becoming, and Believing","authors":"Jing Yang, Xiao Wang, Yonglin Tian, Xiao Wang, Fei-Yue Wang","doi":"10.1109/mis.2023.3284694","DOIUrl":"https://doi.org/10.1109/mis.2023.3284694","url":null,"abstract":"The recent debut and success of ChatGPT have brought up renewed debates and desires for artificial general intelligence (AGI) amid fears and anxieties of potential disruptions to our humanity and social values, as witnessed by the call from tech celebrities for a pause in the development of ChatGPT-style AGI tools. At the IEEE IS’ AI and CPSS Department, we would like to initiate cautious, balanced, hopefully deep investigations to address various related issues on the impact and significance of intelligent science and technology to our economy and society. Let’s start with the “three Bs” and “ACP” for parallel intelligence in CPSSs: Being by artificial systems (A), Becoming through computational experiments (C), and Believing with parallel execution (P).","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":6.4,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138576705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-08DOI: 10.1109/mis.2023.3324471
Xiao Wang, Yutong Wang, Mariana Netto, Larry Stapleton, Zhe Wan, Fei-Yue Wang
This article explores the concept of human–autonomous organizations (HAOs) based on decentralized autonomous organizations (DAOs) and operations as well as human, artificial, natural, and organizational intelligence and their roles in shaping smart societies in the context of Industry 5.0 and Society 5.0. It discusses the potential of AI-generated content and prompt engineering in specific goal-guided manufacture and governance. Additionally, the article introduces the concept of the HAO as a framework for integrating human intelligence to achieve fair, transparent, and accountable decision making within DAOs. The proposed HAO reduces the risk of instability and unreliability in “human-in-the-loop” copilot systems and human–machine hybrid systems, leading to more reliable, secure, and flexible systems. It provides insights into the future management of smart societies and the symbiotic relationship between human ingenuity and the suite of emerging new AI technologies.
{"title":"Smart Decentralized Autonomous Organizations and Operations for Smart Societies: Human–Autonomous Organizations for Industry 5.0 and Society 5.0","authors":"Xiao Wang, Yutong Wang, Mariana Netto, Larry Stapleton, Zhe Wan, Fei-Yue Wang","doi":"10.1109/mis.2023.3324471","DOIUrl":"https://doi.org/10.1109/mis.2023.3324471","url":null,"abstract":"This article explores the concept of human–autonomous organizations (HAOs) based on decentralized autonomous organizations (DAOs) and operations as well as human, artificial, natural, and organizational intelligence and their roles in shaping smart societies in the context of Industry 5.0 and Society 5.0. It discusses the potential of AI-generated content and prompt engineering in specific goal-guided manufacture and governance. Additionally, the article introduces the concept of the HAO as a framework for integrating human intelligence to achieve fair, transparent, and accountable decision making within DAOs. The proposed HAO reduces the risk of instability and unreliability in “human-in-the-loop” copilot systems and human–machine hybrid systems, leading to more reliable, secure, and flexible systems. It provides insights into the future management of smart societies and the symbiotic relationship between human ingenuity and the suite of emerging new AI technologies.","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":6.4,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138576713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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