Ata uhi

National strategies for Artificial Intelligence: Lessons for building a Brazilian model

Whakaatu ērā atu putanga (1)

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Silva, Priscilla, Souza, Carlos Affonso Pereira de, Mangeth, Ana Lara Galhano
Ētahi atu kaituhi:	Cetic.br
Hōputu:	Capítulos de Livro Analíticas
Reo:	Ingarihi
I whakaputaina:	2024
Ngā marau:	Tecnologia da Informação e Comunicação (TIC) Inteligência Artificial
Urunga tuihono:	https://bibliotecadigital.acervo.nic.br/handle/123456789/2110
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

National strategies for Artificial Intelligence: Lessons for building a Brazilian model
mā: Silva, Priscilla, me ētahi atu.

Estratégias nacionais sobre Inteligência Artificial: lições para a construção de um modelo brasileiro
mā: Silva, Priscilla, me ētahi atu.
I whakaputaina: (2024)

Media literacy: como a educação pode ajudar a combater a desinformação?
mā: Silva, Priscilla, me ētahi atu.
I whakaputaina: (2024)

Media literacy: How can education help fight disinformation?
mā: Silva, Priscilla, me ētahi atu.
I whakaputaina: (2024)

Use of Artificial Intelligence in Health: Lessons learned while addressing the COVID-19 outbreak
mā: Amaro Junior, Edson, me ētahi atu.
I whakaputaina: (2024)

Media literacy: como a educação pode ajudar a combater a desinformação?
mā: Silva, Priscilla, me ētahi atu.

Media literacy: How can education help fight disinformation?
mā: Silva, Priscilla, me ētahi atu.

Estratégias nacionais sobre Inteligência Artificial: lições para a construção de um modelo brasileiro
mā: Silva, Priscilla, me ētahi atu.

National eHealth strategies in the region of the Americas: Progress and challenges
mā: Novillo-Ortiz, David, me ētahi atu.
I whakaputaina: (2024)

NATIONAL eHEALTH STRATEGIES IN THE REGION OF THE AMERICAS: PROGRESS AND CHALLENGES
mā: Novillo-Ortiz, David, me ētahi atu.

Programming collective intelligence: building smart web 2.0 applications
mā: Segaran, Toby.
I whakaputaina: (2007)

The Brazilian Civil Rights Framework for the Internet and the lessons learned about the capability of Brazilian public authorities to promote citizen participation through the Internet
mā: Stefani, Anita Gea Martinez, me ētahi atu.
I whakaputaina: (2024)

Artificial Intelligence in healthcare: A qualitative diagnosis of the Brazilian scenario
mā: Castello, Graziela, me ētahi atu.
I whakaputaina: (2025)

ICT in Health survey and the design of public policies for the Brazilian e-Health Strategy
mā: Zinader, Juliana Pereira de Souza, me ētahi atu.
I whakaputaina: (2024)

E-SUS Primary Care Strategy: The Brazilian digital transformation
mā: Sousa, Allan Nuno, me ētahi atu.
I whakaputaina: (2024)

E-SUS PRIMARY CARE STRATEGY: THE BRAZILIAN DIGITAL TRANSFORMATION
mā: Sousa, Allan Nuno, me ētahi atu.

Artificial Intelligence and Work
mā: Arbix, Glauco, me ētahi atu.
I whakaputaina: (2024)

Artificial Intelligence and ethics
I whakaputaina: (2024)

Artificial Intelligence and health
mā: Marin, Heimar de Fatima
I whakaputaina: (2025)

ICT IN HEALTH SURVEY AND THE DESIGN OF PUBLIC POLICIES FOR THE BRAZILIAN E-HEALTH STRATEGY
mā: Zinader, Juliana P. Souza, me ētahi atu.

Modeling the influences on conditions of use of different technologies in classrooms
mā: Kubota, Luis Claudio, me ētahi atu.

Conceptual model for assessing the impact of digital health investment
mā: Fernández, Andrés, me ētahi atu.

Modeling the influences on conditions of use of different technologies in classrooms
mā: Kubota, Luis Claudio, me ētahi atu.
I whakaputaina: (2024)

The Challenges of Universal Access: Models and Management – an Invitation to Research
mā: Reinhard, Nicolau
I whakaputaina: (2024)

Conceptual model for assessing the impact of digital health investment
mā: Fernández, Andrés, me ētahi atu.
I whakaputaina: (2024)

Education, computing, and artificial intelligence
mā: Vicari, Rosa Maria, me ētahi atu.

Artificial Intelligence and the labor market
mā: Meireles, Thiago, me ētahi atu.
I whakaputaina: (2025)

Education, computing, and Artificial Intelligence
mā: Vicari, Rosa Maria, me ētahi atu.
I whakaputaina: (2024)

Mapping principles of artificial intelligence
mā: Guimarães, Caroline Burle dos Santos, me ētahi atu.
I whakaputaina: (2019)

Artificial Intelligence, Education and Childhood
mā: Dino, Luísa Adib, me ētahi atu.
I whakaputaina: (2024)

Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems /
mā: Géron, Aurélien,
I whakaputaina: (2023)

Technological actions of the informatics department of the Brazilian Unified Health System for the Brazilian e-Health strategy
mā: Ribeiro, Guilherme Telles, me ētahi atu.
I whakaputaina: (2024)

TECHNOLOGICAL ACTIONS OF THE INFORMATICS DEPARTMENT OF THE BRAZILIAN UNIFIED HEALTH SYSTEM FOR THE BRAZILIAN E-HEALTH STRATEGY
mā: Ribeíro, Guilherme Telles, me ētahi atu.

The national plan may take boradband to 88% of the brazilian population
mā: Santos, Rogério Santanna dos

The national plan may take broadband to 88% of the Brazilian population
mā: Santos, Rogério Santanna dos
I whakaputaina: (2024)

Appropriation of Facebook by women farmers who build agroecology and feminism in different brazilian socioenvironmental context
mā: Almeida, Angélica Patrícia de, me ētahi atu.

Appropriation of Facebook by women farmers who build agroecology and feminism in different Brazilian socioenvironmental contexts
mā: Almeida, Angélica Patrícia de, me ētahi atu.
I whakaputaina: (2024)

The Artificial Intelligence and generative AI bible
mā: Fraley, Alger
I whakaputaina: (2024)

Ethics, governance, and policies in artificial intelligence
mā: editor Floridi, Luciano,
I whakaputaina: (2021)

Artificial Intelligence: Fairness, justice and consequences
mā: Silva, Diogo Cortiz da, me ētahi atu.
I whakaputaina: (2024)