Henrique Duarte Borges Louro
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Henrique Duarte Borges Louro has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Adilson Marques da Cunha
Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos 12228-900, SP, Brazil
1 shared publication - Daniela America da Silva
Brazilian Aeronautics Institute of Technology
1 shared publication - Gildarcio Sousa Goncalves
Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos 12228-900, SP, Brazil
1 shared publication - Johnny Marques
Instituto Tecnológico de Aeronáutica
1 shared publication - Luiz Alberto Vieira Dias
Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos 12228-900, SP, Brazil
1 shared publication - Paulo Marcelo Tasinaffo
Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos 12228-900, SP, Brazil
1 shared publication
Latest Publications
- Open Access
- 12 October 2021
- Published by MDPI AG in Information
- Vol. 12 (10) , 418
Could a Conversational AI Identify Offensive Language?
In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI applications possible. Those algorithms are built based on historical data in order to create language models, however historical data could be intrinsically discriminatory. This article investigates whether a Conversational AI could identify offensive language and it will show how large language models often produce quite a bit of unethical behavior because of bias in the historical data. Our low-level proof-of-concept will present the challenges to detect offensive language in social media and it will discuss some steps to propitiate strong results in the detection of offensive language and unethical behavior using a Conversational AI.
- 12 October 2021
- Published by MDPI AG in Information
- Vol. 12 (10) , 418
Open AccessCould a Conversational AI Identify Offensive Language?
In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI applications possible. Those algorithms are built based on historical data in order to create language models, however historical data could be intrinsically discriminatory. This article investigates whether a Conversational AI could identify offensive language and it will show how large language models often produce quite a bit of unethical behavior because of bias in the historical data. Our low-level proof-of-concept will present the challenges to detect offensive language in social media and it will discuss some steps to propitiate strong results in the detection of offensive language and unethical behavior using a Conversational AI.