Nythamar de Oliveira

According to our database, Nythamar de Oliveira authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2025

Codes of ethics in IT: do they work in isolation?

Nicholas Kluge Corrêa, James William Santos, Éderson de Almeida, Marcelo Pasetti, Dieine Schiavon, Mateus Panizzon, Nythamar de Oliveira

AI Ethics, August, 2025

Correction: Crossing the principle-practice gap in AI ethics with ethical problem-solving.

Nicholas Kluge Corrêa, James William Santos, Camila Galvão, Marcelo Pasetti, Dieine Schiavon, Faizah Naqvi, Robayet Hossain, Nythamar de Oliveira

AI Ethics, April, 2025

Crossing the principle-practice gap in AI ethics with ethical problem-solving.

Nicholas Kluge Corrêa, James William Santos, Camila Galvão, Marcelo Pasetti, Dieine Estela Bernieri Schiavon, Faizah Naqvi, Robayet Hossain, Nythamar de Oliveira

AI Ethics, April, 2025

2024

TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese.

Nicholas Kluge Corrêa, Sophia Falk, Shiza Fatimah, Aniket Sen, Nythamar de Oliveira

CoRR, 2024

2023

Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance.

Nicholas Kluge Corrêa, Camila Galvão, James William Santos, Carolina Del Pino, Edson Pontes Pinto, Camila Barbosa, Diogo Massmann, Rodrigo Mambrini, Luiza Galvão, Edmund Terem, Nythamar de Oliveira

Patterns, October, 2023

2022

Counterfactual Analysis by Algorithmic Complexity: A metric between possible worlds.

Nicholas Kluge Corrêa, Nythamar Fernandes de Oliveira

CoRR, 2022

On the Efficiency of Ethics as a Governing Tool for Artificial Intelligence.

Nicholas Kluge Corrêa, Nythamar de Oliveira, Diogo Massmann

CoRR, 2022

2020

Singularity and Coordination Problems: Pandemic Lessons from 2020.

Nicholas Kluge Corrêa, Nythamar de Oliveira

CoRR, 2020

Modelos dinâmicos aplicados à aprendizagem de valores em inteligência artificial.

Nicholas Kluge Corrêa, Nythamar de Oliveira

CoRR, 2020

Dynamic Models Applied to Value Learning in Artificial Intelligence.

Nicholas Kluge Corrêa, Nythamar de Oliveira

CoRR, 2020