AIR5 : five pillars of artificial intelligence research
In this paper, we provide an overview of what we consider to be some of the most pressing research questions currently facing the fields of artificial and computational intelligence (AI and CI). While AI spans a range of methods that enable machines to learn from data and operate autonomously, CI se...
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| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10356/147932 |
| _version_ | 1811692167795572736 |
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| author | Ong, Yew-Soon Gupta, Abhishek |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Ong, Yew-Soon Gupta, Abhishek |
| author_sort | Ong, Yew-Soon |
| collection | NTU |
| description | In this paper, we provide an overview of what we consider to be some of the most pressing research questions currently facing the fields of artificial and computational intelligence (AI and CI). While AI spans a range of methods that enable machines to learn from data and operate autonomously, CI serves as a means to this end by finding its niche in algorithms that are inspired by complex natural phenomena (including the working of the brain). In this paper, we demarcate the key issues surrounding these fields using five unique Rs, namely, rationalizability, resilience, reproducibility, realism, and responsibility. Notably, just as air serves as the basic element of biological life, the term AIR - cumulatively referring to the five aforementioned Rs - is introduced herein to mark some of the basic elements of artificial life, for sustainable AI and CI. A brief summary of each of the Rs is presented, highlighting their relevance as pillars of future research in this arena. |
| first_indexed | 2024-10-01T06:31:29Z |
| format | Journal Article |
| id | ntu-10356/147932 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:31:29Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1479322021-05-01T20:12:45Z AIR5 : five pillars of artificial intelligence research Ong, Yew-Soon Gupta, Abhishek School of Computer Science and Engineering Agency for Science, Technology and Research (A∗STAR) Singapore Institute of Manufacturing Technology Data Science and Artificial Intelligence Research Centre Engineering::Computer science and engineering Artifical Intelligence Rationalizability In this paper, we provide an overview of what we consider to be some of the most pressing research questions currently facing the fields of artificial and computational intelligence (AI and CI). While AI spans a range of methods that enable machines to learn from data and operate autonomously, CI serves as a means to this end by finding its niche in algorithms that are inspired by complex natural phenomena (including the working of the brain). In this paper, we demarcate the key issues surrounding these fields using five unique Rs, namely, rationalizability, resilience, reproducibility, realism, and responsibility. Notably, just as air serves as the basic element of biological life, the term AIR - cumulatively referring to the five aforementioned Rs - is introduced herein to mark some of the basic elements of artificial life, for sustainable AI and CI. A brief summary of each of the Rs is presented, highlighting their relevance as pillars of future research in this arena. Nanyang Technological University Accepted version This work was supported in part by the Data Science and Artificial Intelligence Research Centre of the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, and in part by the SIMTech-NTU Joint Lab on Complex Systems. 2021-04-15T08:03:09Z 2021-04-15T08:03:09Z 2019 Journal Article Ong, Y. & Gupta, A. (2019). AIR5 : five pillars of artificial intelligence research. IEEE Transactions On Emerging Topics in Computational Intelligence, 3(5), 411-415. https://dx.doi.org/10.1109/TETCI.2019.2928344 2471-285X 0000-0002-4480-169X 0000-0002-6080-855X https://hdl.handle.net/10356/147932 10.1109/TETCI.2019.2928344 2-s2.0-85082632793 5 3 411 415 en IEEE Transactions on Emerging Topics in Computational Intelligence © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TETCI.2019.2928344. application/pdf |
| spellingShingle | Engineering::Computer science and engineering Artifical Intelligence Rationalizability Ong, Yew-Soon Gupta, Abhishek AIR5 : five pillars of artificial intelligence research |
| title | AIR5 : five pillars of artificial intelligence research |
| title_full | AIR5 : five pillars of artificial intelligence research |
| title_fullStr | AIR5 : five pillars of artificial intelligence research |
| title_full_unstemmed | AIR5 : five pillars of artificial intelligence research |
| title_short | AIR5 : five pillars of artificial intelligence research |
| title_sort | air5 five pillars of artificial intelligence research |
| topic | Engineering::Computer science and engineering Artifical Intelligence Rationalizability |
| url | https://hdl.handle.net/10356/147932 |
| work_keys_str_mv | AT ongyewsoon air5fivepillarsofartificialintelligenceresearch AT guptaabhishek air5fivepillarsofartificialintelligenceresearch |