Accelerating AI Adoption in Latin America and the Caribbean: Aligning Regulations, Deploying Pilots, And Conducting Training
Sector: Government • Location: Regional
Source: Inter-American Development Bank (IADB)
The main objective is to boost the Artificial Intelligence (AI) adoption by the public sector in Latin America and the Caribbean (LAC) through developing and implementing an advanced AI based system aim at identifying the gaps in countries' digital government regulatory frameworks. This system covers all regulatory aspects, from legislation to technical standards. In addition, this TC will impleme
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Participants
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Status
Original status | implementation |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The main objective is to boost the Artificial Intelligence (AI) adoption by the public sector in Latin America and the Caribbean (LAC) through developing and implementing an advanced AI based system aim at identifying the gaps in countries' digital government regulatory frameworks. This system covers all regulatory aspects, from legislation to technical standards. In addition, this TC will implement AI pilots to streamlining processes, improve efficiency, and offer citizen-centric and effective public services. Lastly, this TC will equip government officials with the necessary knowledge to effectively utilize AI, thereby enhancing public administration. Ultimately, this TC bridges the gap between a digital government reference framework and the status of digital government across the region. It seeks to simplify the process of developing and implementing regulatory requirements for its effective operationalization. This initiative will foster a cohesive regional ecosystem for digital government regulatory practices, focusing on evaluating, comparing, and dynamically adapting to the unique needs of each country in the region. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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