Jose Antonio Siqueira de Cerqueira

@tuni.fi

Faculty of Information Technology and Communication Sciences
Tampere University

José Antonio Siqueira de Cerqueira is a doctoral student and researcher in the Gamification Group and also in the GPT Lab, Tampere University. His PhD research focuses on how to operationalise ethics in AI and in gamification through the use of Large Language Models, as well as exploring AI-assisted Software Engineering. He is part of the Convergence programme funded by the Jane and Aatos Erkko Foundation, a novel research field that addresses the future challenges and opportunities of the multidisciplinary convergence of humans and machines. Siqueira's main research interests are AI ethics, software engineering, Large Language Models and gamification. He holds a Master's degree in Computer Science from the University of Brasília and has worked as a software developer for Brazilian government agencies.

EDUCATION

Master's degree in Informatics (2021) and graduated in Computer Science (2017) at the University of Brasília (UnB). His Master's dissertation "Exploring Ethical Requirements Elicitation for Applications in the Context of AI" aims to explore AI ethics in theoretical field but with a main focus in operationalising AI ethics in practice providing a Guide for Artificial Intelligence Ethical Requirements Elicitation (RE4AI Ethical Guide).

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Software

Scopus Publications

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Grounded Ethical AI: A Demonstrative Approach with RAG-Enhanced Agents

Trustworthy LLMs for Ethically Aligned AI-based Systems: A PhD Research Plan

The EU AI Act is a Good Start But Falls Short
Chalisa Veesommai Sillberg, José Siqueira De Cerqueira, Pekka Sillberg, Kai-Kristian Kemell, and Pekka Abrahamsson
Springer Nature Switzerland

Guide for Artificial Intelligence Ethical Requirements Elicitation - RE4AI Ethical Guide

Ethical Guidelines and Principles in the Context of Artificial Intelligence
José Antonio Siqueira de Cerqueira, Heloise Acco Tives, and Edna Dias Canedo
ACM

Ethical perspectives in AI: A two-folded exploratory study from literature and active development projects

Exploratory Overview on Breaking CAPTCHAs Using the Theory of the Consolidated Meta-Analytic Approach
Jose Antonio Siqueira de Cerqueira, Paulo Santos de Almeida, Edna Dias Canedo, Gabriel de Oliveira Alves, William Ferreira Giozza, Fabio Lucio Lopes de Mendonca, and Rafael T. de Sousa
IEEE
This study sought to provide an integrating model of the main contributions of the literature on CAPTCHAs with an impact in this field. With the expansion of internet access, there is an increasing need for a mechanism to protect websites from attacks, although there are situations where it is interesting to be able to automate some activities. This work consisted of identifying the most influential CAPTCHA-related academic works and trends in the field, which could serve as a metric on what approaches to take when developing new studies. Data such as main authors, current lines of research and more prolific research centers are arrived at using the Theory of the Consolidated Meta-analytic Approach. Inputting the keyword “captcha” in the Web of Science database, 539 records were found, from 2001 to 2020. The main classes retrieved are: (a) Captcha in Security Context (31.9%), (b) Usability in Captcha Design (28%), (c) Captcha Recognition by AI (21.8%), (d) Captcha Approaches and Novel Implementation Proposals (18.2%).

Barriers faced by women in software development projects
Edna Dias Canedo, Heloise Acco Tives, Madianita Bogo Marioti, Fabiano Fagundes, and José Antonio Siqueira de Cerqueira
MDPI AG
Computer science is a predominantly male field of study. Women face barriers while trying to insert themselves in the study of computer science. Those barriers extend to when women are exposed to the professional area of computer science. Despite decades of social fights for gender equity in Science, Technology, Engineering, and Mathematics (STEM) education and in computer science in general, few women participate in computer science, and some of the reasons include gender bias and lack of support for women when choosing a computer science career. Open source software development has been increasingly used by companies seeking the competitive advantages gained by team diversity. This diversification of the characteristics of team members includes, for example, the age of the participants, the level of experience, education and knowledge in the area, and their gender. In open source software projects women are underrepresented and a series of biases are involved in their participation. This paper conducts a systematic literature review with the objective of finding factors that could assist in increasing women’s interest in contributing to open source communities and software development projects. The main contributions of this paper are: (i) identification of factors that cause women’s lack of interest (engagement), (ii) possible solutions to increase the engagement of this public, (iii) to outline the profile of professional women who are participating in open source software projects and software development projects. The main findings of this research reveal that women are underrepresented in software development projects and in open source software projects. They represent less than 10% of the total developers and the main causes of this underrepresentation may be associated with their workplace conditions, which reflect male gender bias.

RECENT SCHOLAR PUBLICATIONS

Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
JS de Cerqueira, KK Kemell, R Rousi, N Xi, J Hamari, P Abrahamsson
arXiv preprint arXiv:2503.04785 2025

GPT versus Humans: Uncovering Ethical Concerns in Conversational Generative AI-empowered Multi-Robot Systems
R Rousi, N Makitalo, H Samani, KK Kemell, JS de Cerqueira, V Vakkuri, ...
arXiv preprint arXiv:2411.14009 2024

The EU AI Act is a good start but falls short
CV Sillberg, JS De Cerqueira, P Sillberg, KK Kemell, P Abrahamsson
arXiv preprint arXiv:2411.08535 2024

Timeless: A vision for the next generation of software development
Z Rasheed, MA Sami, J Rasku, KK Kemell, Z Zhang, J Harjamaki, ...
arXiv preprint arXiv:2411.08507 2024

Can we trust AI agents? An experimental study towards trustworthy LLM-based multi-agent systems for AI ethics
JAS de Cerqueira, M Agbese, R Rousi, N Xi, J Hamari, P Abrahamsson
arXiv preprint arXiv:2411.08881 2024

Trustworthy LLMs for Ethically Aligned AI-based Systems: A PhD Research Plan
JAS de Cerqueira, R Rousi, N Xi, J Hamari, KK Kemell, P Abrahamsson
2024

Grounded Ethical AI: A Demonstrative Approach with RAG-Enhanced Agents
JAS de Cerqueira, AA Khan, R Rousi, N Xi, J Hamari, KK Kemell, ...
2024

Guide for Artificial Intelligence Ethical Requirements Elicitation-RE4AI Ethical Guide.
JAS de Cerqueira, AP De Azevedo, HAT Leo, ED Canedo
HICSS, 1-10 2022

Exploring ethical requirements elicitation for applications in the context of AI
JAS Cerqueira
2021

Ethical guidelines and principles in the context of artificial intelligence
JA Siqueira de Cerqueira, H Acco Tives, E Dias Canedo
Proceedings of the XVII Brazilian Symposium on Information Systems, 1-8 2021

Ethical perspectives in ai: A two-folded exploratory study from literature and active development projects
JA Siqueira De Cerqueira, L Dos Santos Althoff, P Santos De Almeida, ...
2021

Exploratory overview on breaking CAPTCHAs using the theory of the consolidated meta-analytic approach
JAS de Cerqueira, PS de Almeida, ED Canedo, G de Oliveira Alves, ...
2020 15th Iberian Conference on Information Systems and Technologies (CISTI 2020

Barriers faced by women in software development projects
ED Canedo, HA Tives, MB Marioti, F Fagundes, JAS de Cerqueira
Information 10 (10), 309 2019

MOST CITED SCHOLAR PUBLICATIONS

Barriers faced by women in software development projects
ED Canedo, HA Tives, MB Marioti, F Fagundes, JAS de Cerqueira
Information 10 (10), 309 2019
Citations: 47

Guide for Artificial Intelligence Ethical Requirements Elicitation-RE4AI Ethical Guide.
JAS de Cerqueira, AP De Azevedo, HAT Leo, ED Canedo
HICSS, 1-10 2022
Citations: 15

Ethical perspectives in ai: A two-folded exploratory study from literature and active development projects
JA Siqueira De Cerqueira, L Dos Santos Althoff, P Santos De Almeida, ...
2021
Citations: 9

Exploring ethical requirements elicitation for applications in the context of AI
JAS Cerqueira
2021
Citations: 4

Timeless: A vision for the next generation of software development
Z Rasheed, MA Sami, J Rasku, KK Kemell, Z Zhang, J Harjamaki, ...
arXiv preprint arXiv:2411.08507 2024
Citations: 3

The EU AI Act is a good start but falls short
CV Sillberg, JS De Cerqueira, P Sillberg, KK Kemell, P Abrahamsson
arXiv preprint arXiv:2411.08535 2024
Citations: 1

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Guide for Artificial Intelligence Ethical Requirements Elicitation:

INDUSTRY EXPERIENCE

Federal Data Processing Service (SERPRO)