Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability
Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential of AI methods to solve recent industrial, corporate...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Multimodal Technologies and Interaction |
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| Online Access: | https://www.mdpi.com/2414-4088/7/3/27 |
| _version_ | 1797609763901538304 |
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| author | Hajo Wiemer Dorothea Schneider Valentin Lang Felix Conrad Mauritz Mälzer Eugen Boos Kim Feldhoff Lucas Drowatzky Steffen Ihlenfeldt |
| author_facet | Hajo Wiemer Dorothea Schneider Valentin Lang Felix Conrad Mauritz Mälzer Eugen Boos Kim Feldhoff Lucas Drowatzky Steffen Ihlenfeldt |
| author_sort | Hajo Wiemer |
| collection | DOAJ |
| description | Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential of AI methods to solve recent industrial, corporate and social challenges has not yet been fully exploited. Research shows the insufficient practicality of AI in domain-specific contexts as one of the main application hurdles. Focusing on industrial demands, this publication introduces a new paradigm in terms of applicability of AI methods, called Usable AI (UAI). Aspects of easily accessible, domain-specific AI methods are derived, which address essential user-oriented AI services within the UAI paradigm: usability, suitability, integrability and interoperability. The relevance of UAI is clarified by describing challenges, hurdles and peculiarities of AI applications in the production area, whereby the following user roles have been abstracted: developers of cyber–physical production systems (CPPS), developers of processes and operators of processes. The analysis shows that target artifacts, motivation, knowledge horizon and challenges differ for the user roles. Therefore, UAI shall enable domain- and user-role-specific adaptation of affordances accompanied by adaptive support of vertical and horizontal integration across the domains and user roles. |
| first_indexed | 2024-03-11T06:05:56Z |
| format | Article |
| id | doaj.art-2c9970b09e874e94a0b4fed6b9907954 |
| institution | Directory Open Access Journal |
| issn | 2414-4088 |
| language | English |
| last_indexed | 2024-03-11T06:05:56Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Multimodal Technologies and Interaction |
| spelling | doaj.art-2c9970b09e874e94a0b4fed6b99079542023-11-17T12:59:08ZengMDPI AGMultimodal Technologies and Interaction2414-40882023-02-01732710.3390/mti7030027Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI ApplicabilityHajo Wiemer0Dorothea Schneider1Valentin Lang2Felix Conrad3Mauritz Mälzer4Eugen Boos5Kim Feldhoff6Lucas Drowatzky7Steffen Ihlenfeldt8Faculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyFaculty of Mechanical Engineering, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr. 7a, 01069 Dresden, GermanyData-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential of AI methods to solve recent industrial, corporate and social challenges has not yet been fully exploited. Research shows the insufficient practicality of AI in domain-specific contexts as one of the main application hurdles. Focusing on industrial demands, this publication introduces a new paradigm in terms of applicability of AI methods, called Usable AI (UAI). Aspects of easily accessible, domain-specific AI methods are derived, which address essential user-oriented AI services within the UAI paradigm: usability, suitability, integrability and interoperability. The relevance of UAI is clarified by describing challenges, hurdles and peculiarities of AI applications in the production area, whereby the following user roles have been abstracted: developers of cyber–physical production systems (CPPS), developers of processes and operators of processes. The analysis shows that target artifacts, motivation, knowledge horizon and challenges differ for the user roles. Therefore, UAI shall enable domain- and user-role-specific adaptation of affordances accompanied by adaptive support of vertical and horizontal integration across the domains and user roles.https://www.mdpi.com/2414-4088/7/3/27artificial intelligenceusable AIexplainable AIapplicable AIdomain-specific AIcyber–physical production systems |
| spellingShingle | Hajo Wiemer Dorothea Schneider Valentin Lang Felix Conrad Mauritz Mälzer Eugen Boos Kim Feldhoff Lucas Drowatzky Steffen Ihlenfeldt Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability Multimodal Technologies and Interaction artificial intelligence usable AI explainable AI applicable AI domain-specific AI cyber–physical production systems |
| title | Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability |
| title_full | Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability |
| title_fullStr | Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability |
| title_full_unstemmed | Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability |
| title_short | Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability |
| title_sort | need for uai anatomy of the paradigm of usable artificial intelligence for domain specific ai applicability |
| topic | artificial intelligence usable AI explainable AI applicable AI domain-specific AI cyber–physical production systems |
| url | https://www.mdpi.com/2414-4088/7/3/27 |
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