Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909493859713024 |
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| author | Pelissari, Renata Suyama, Ricardo Duarte, Leonardo Tomazeli Earp, Henrique Sá |
| author_facet | Pelissari, Renata Suyama, Ricardo Duarte, Leonardo Tomazeli Earp, Henrique Sá |
| contents | How can a National Artificial Intelligence Strategy be effectively monitored? To address this question, we propose a methodology consisting of two key components. First, it involves identifying relevant indicators within national AI strategies. Second, it assesses the alignment between these indicators and the strategic actions of a specific government's AI strategy, allowing for a critical evaluation of its monitoring measures. Moreover, identifying these indicators helps assess the overall quality of the strategy's structure. A lack of alignment between strategic actions and the identified indicators may reveal gaps or blind spots in the strategy. This methodology is demonstrated using the Brazilian AI strategy as a case study. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2502_10412 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy Pelissari, Renata Suyama, Ricardo Duarte, Leonardo Tomazeli Earp, Henrique Sá Computers and Society Artificial Intelligence How can a National Artificial Intelligence Strategy be effectively monitored? To address this question, we propose a methodology consisting of two key components. First, it involves identifying relevant indicators within national AI strategies. Second, it assesses the alignment between these indicators and the strategic actions of a specific government's AI strategy, allowing for a critical evaluation of its monitoring measures. Moreover, identifying these indicators helps assess the overall quality of the strategy's structure. A lack of alignment between strategic actions and the identified indicators may reveal gaps or blind spots in the strategy. This methodology is demonstrated using the Brazilian AI strategy as a case study. |
| title | Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2502.10412 |