Jose Antonio Siqueira de Cerqueira

@tuni.fi

Faculty of Information Technology and Communication Sciences
Tampere University

Jose Antonio Siqueira de Cerqueira


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https://researchid.co/josesiqueira
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
9

Scopus Publications

206

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Specifying Fairness and Transparency Requirements for Public Benefit Allocation
    Amanda Aline F. C. Vicenzi, José Siqueira de Cerqueira, Pekka Abrahamsson, Edna Dias Canedo
    Lecture Notes in Computer Science, 2026
  • The EU AI Act is a Good Start But Falls Short
    Chalisa Veesommai Sillberg, José Siqueira De Cerqueira, Pekka Sillberg, Kai-Kristian Kemell, Pekka Abrahamsson
    Lecture Notes in Business Information Processing, 2025
  • Trustworthy LLMs for Ethically Aligned AI-based Systems: A PhD Research Plan
    Ceur Workshop Proceedings, 2025
  • Grounded Ethical AI: A Demonstrative Approach with RAG-Enhanced Agents
    Ceur Workshop Proceedings, 2025
  • Guide for Artificial Intelligence Ethical Requirements Elicitation - RE4AI Ethical Guide
    Proceedings of the Annual Hawaii International Conference on System Sciences, 2022
  • Ethical Guidelines and Principles in the Context of Artificial Intelligence
    José Antonio Siqueira de Cerqueira, Heloise Acco Tives, Edna Dias Canedo
    ACM International Conference Proceeding Series, 2021
  • Ethical perspectives in AI: A two-folded exploratory study from literature and active development projects
    Proceedings of the Annual Hawaii International Conference on System Sciences, 2021
  • 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, et al.
    Iberian Conference on Information Systems and Technologies Cisti, 2020
    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, José Antonio Siqueira de Cerqueira
    Information Switzerland, 2019
    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

  • Specifying Fairness and Transparency Requirements for Public Benefit Allocation
    AAFC Vicenzi, JS de Cerqueira, P Abrahamsson, ED Canedo
    International Working Conference on Requirements Engineering: Foundation for … , 2026
    2026
  • 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
    2025
    Citations: 17
  • Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
    J Siqueira de Cerqueira, KK Kemell, R Rousi, N Xi, J Hamari, ...
    arXiv e-prints, arXiv: 2503.04785 , 2025
    2025
  • 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
    RWTH Aachen , 2025
    2025
  • Grounded Ethical AI: A Demonstrative Approach with RAG-Enhanced Agents
    JAS de Cerqueira, AA Khan, R Rousi, N Xi, J Hamari, KK Kemell, ...
    RWTH Aachen , 2025
    2025
    Citations: 1
  • 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
    2024
    Citations: 1
  • The EU AI Act is a good start but falls short
    CV Sillberg, JS De Cerqueira, P Sillberg, KK Kemell, P Abrahamsson
    International Conference on Software Business, 114-130 , 2024
    2024
    Citations: 7
  • 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
    2024
    Citations: 6
  • Can we trust AI agents? a case study of an LLM-based multi-agent system for ethical AI
    JAS de Cerqueira, M Agbese, R Rousi, N Xi, J Hamari, P Abrahamsson
    arXiv preprint arXiv:2411.08881 , 2024
    2024
    Citations: 27
  • Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI
    JA Siqueira de Cerqueira, M Agbese, R Rousi, N Xi, J Hamari, ...
    arXiv e-prints, arXiv: 2411.08881 , 2024
    2024
  • Guide for artificial intelligence ethical requirements elicitation-re4ai ethical guide
    JA Siqueira De Cerqueira, A Pinheiro De Azevedo, H Acco Tives, ...
    2022
    Citations: 6
  • Guide for Artificial Intelligence Ethical Requirements Elicitation-RE4AI Ethical Guide.
    JAS de Cerqueira, AP De Azevedo, HAT Leão, ED Canedo
    HICSS, 1-10 , 2022
    2022
    Citations: 26
  • Exploring ethical requirements elicitation for applications in the context of AI
    JAS Cerqueira, ED Canedo
    2021
    Citations: 5
  • Ethical guidelines and principles in the context of artificial intelligence
    JAS de Cerqueira, HA Tives, ED Canedo
    Simpósio Brasileiro de Sistemas de Informação (SBSI) , 2021
    2021
    Citations: 14
  • 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
    2021
    Citations: 4
  • 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: 14
  • 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
    2020
    Citations: 8
  • Barriers faced by women in software development projects
    ED Canedo, HA Tives, MB Marioti, F Fagundes, JAS de Cerqueira
    Information 10 (10), 309 , 2019
    2019
    Citations: 70

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
    2019
    Citations: 70
  • Can we trust AI agents? a case study of an LLM-based multi-agent system for ethical AI
    JAS de Cerqueira, M Agbese, R Rousi, N Xi, J Hamari, P Abrahamsson
    arXiv preprint arXiv:2411.08881 , 2024
    2024
    Citations: 27
  • Guide for Artificial Intelligence Ethical Requirements Elicitation-RE4AI Ethical Guide.
    JAS de Cerqueira, AP De Azevedo, HAT Leão, ED Canedo
    HICSS, 1-10 , 2022
    2022
    Citations: 26
  • 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
    2025
    Citations: 17
  • Ethical guidelines and principles in the context of artificial intelligence
    JAS de Cerqueira, HA Tives, ED Canedo
    Simpósio Brasileiro de Sistemas de Informação (SBSI) , 2021
    2021
    Citations: 14
  • 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: 14
  • 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
    2020
    Citations: 8
  • The EU AI Act is a good start but falls short
    CV Sillberg, JS De Cerqueira, P Sillberg, KK Kemell, P Abrahamsson
    International Conference on Software Business, 114-130 , 2024
    2024
    Citations: 7
  • 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
    2024
    Citations: 6
  • Guide for artificial intelligence ethical requirements elicitation-re4ai ethical guide
    JA Siqueira De Cerqueira, A Pinheiro De Azevedo, H Acco Tives, ...
    2022
    Citations: 6
  • Exploring ethical requirements elicitation for applications in the context of AI
    JAS Cerqueira, ED Canedo
    2021
    Citations: 5
  • 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
    2021
    Citations: 4
  • Grounded Ethical AI: A Demonstrative Approach with RAG-Enhanced Agents
    JAS de Cerqueira, AA Khan, R Rousi, N Xi, J Hamari, KK Kemell, ...
    RWTH Aachen , 2025
    2025
    Citations: 1
  • 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
    2024
    Citations: 1
  • Specifying Fairness and Transparency Requirements for Public Benefit Allocation
    AAFC Vicenzi, JS de Cerqueira, P Abrahamsson, ED Canedo
    International Working Conference on Requirements Engineering: Foundation for … , 2026
    2026
  • Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
    J Siqueira de Cerqueira, KK Kemell, R Rousi, N Xi, J Hamari, ...
    arXiv e-prints, arXiv: 2503.04785 , 2025
    2025
  • 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
    RWTH Aachen , 2025
    2025
  • Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI
    JA Siqueira de Cerqueira, M Agbese, R Rousi, N Xi, J Hamari, ...
    arXiv e-prints, arXiv: 2411.08881 , 2024
    2024

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Guide for Artificial Intelligence Ethical Requirements Elicitation:

INDUSTRY EXPERIENCE

Federal Data Processing Service (SERPRO),
Brazilian Intelligence Agency (ABIN).