Special Issue - Responsible, Ethical, and Sustainable AI 2026

Special Issue Proposal - Journal of the Brazilian Computer Society (JBCS)

Responsible, Ethical, and Sustainable Artificial Intelligence for Computational Linguistics, Information Processing, and Dissemination 2026

 

Recent advances in Artificial Intelligence (AI), especially in Large Language Models (LLMs), information retrieval, generative systems, and natural language processing, have driven transformative applications across multiple sectors of society. However, these advances also bring critical challenges related to ethics, transparency, explainability, algorithmic bias, computational sustainability, privacy, misinformation, and social impacts.

In the Brazilian context, these challenges are even more relevant due to the country's linguistic, cultural, and social particularities, as well as the growing need to develop inclusive, transparent technological solutions aligned with the principles of Responsible AI.

This special edition of JBCS aims to bring together high-quality scientific and technological contributions that advance the state of the art in Responsible, Ethical, and Sustainable AI applied to Computational Linguistics and Information Processing and Dissemination, promoting an interdisciplinary vision involving Computer Science, Linguistics, Information Science, Social Sciences, Law, and related areas.

 

Call for Papers: Responsible, Ethical, and Sustainable Artificial Intelligence for Computational Linguistics, Information Processing, and Dissemination 2026.

 

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are redefining how we produce, organize, disseminate, and consume information. Despite the enormous potential of these technologies, questions related to reliability, fairness, transparency, explainability, sustainability, and social impacts remain open, especially in multilingual and resource-limited scenarios, such as Brazilian Portuguese.

This special edition of the Journal of the Brazilian Computer Society (JBCS) seeks to gather original contributions that advance research in Responsible, Ethical, and Sustainable AI applied to Computational Linguistics, Natural Language Processing, Information Retrieval, Data Science, and related areas. Works that propose new methodologies, resources, models, metrics, frameworks, applications, and empirical studies aimed at developing more ethical, transparent, efficient, inclusive, and sustainable AI systems will be particularly welcome.

Topics of Interest

Topics include, but are not limited to:

  1. Responsible, Ethical, and Sustainable Artificial Intelligence
  • Responsible, reliable, and human-centered AI
  • Ethics, transparency, accountability, and governance in AI
  • Explainability and interpretability of models
  • Fairness and mitigation of algorithmic biases
  • Privacy, security, and robustness in AI systems
  • Computational sustainability, energy efficiency, and Green AI
  • Benchmarks, metrics, and evaluation protocols for responsible AI
  1. Generative Models and Large Language Models
  • Large Language Models (LLMs) and foundational models
  • Generative AI applied to language and information
  • Fine-tuning, alignment, and efficient adaptation of LLMs
  • Retrieval-Augmented Generation (RAG)
  • Intelligent agents and multi-agent systems based on LLMs
  • Evaluation, auditing, and reliability of generative models
  1. Computational Linguistics and Information Processing
  • Natural Language Processing (NLP) for Portuguese
  • Resources Linguistics, corpora, and benchmarks for Brazilian Portuguese
  • Neural Information Retrieval and Semantic Search
  • Information Extraction, Knowledge Graphs, and Semantic Representation
  • Topic Modeling, Embeddings, and Semantic Analysis
  • Responsible Recommendation Systems
  • Detection of hate speech, misinformation, and content moderation
  1. Applications and Social Impacts
  • AI applied to health, education, law, and digital government
  • AI for public transparency and access to information
  • AI in social networks and digital platforms
  • Human-AI Interaction
  • Social, cultural, and linguistic perspectives of AI
  • Digital inclusion and AI for contexts of low resource availability

Submissions

Submitted articles must be original and unpublished, not under evaluation in any other journal or conference. Only original research articles will be accepted.

All articles will be evaluated by peer review, following the JBCS editorial policies. According to JBCS guidelines, after the proposal is approved, one of the Guest Editors will be designated as the main point of contact with the editorial team. For this Special Issue, Washington Cunha is designated as the Guest Editor responsible for communication and operational coordination with JBCS.

 

Commitment to the Peer Review Process

As a way to strengthen the quality and agility of the editorial process for this special issue, authors who submit manuscripts are expected to also contribute to the scientific community through peer review. Thus, authors of submissions considered eligible may be invited to act as reviewers of other works submitted to the same special issue, in areas compatible with their expertise.

By submitting, authors agree to collaborate with the evaluation process within the established deadlines, when invited and provided there is no conflict of interest. Unjustified refusal or failure to perform the review after accepting the invitation may be taken into consideration by the invited editors during the editorial process.

This policy seeks to ensure a balanced, collaborative, and sustainable review process for all participants in the special issue.

 

Proposed Schedule

 

Stage

Date

Call for Papers Announcement

August 3rd, 2026

Article Submission

December 1st, 2026

First Round of Revisions

February 1st, 2027

Submission of Revised Versions

April 2nd, 2027

Final Decision

June 1st, 2027

Publication of the Special Edition

July 30th, 2027

 

 

Guest Editors

  • Washington Cunha (IC/Unicamp)
  • Sandra Ávila (IC/Unicamp) 
  • Marcos André Gonçalves (DCC/UFMG)
  • Tiago Timponi Torrent (UFJF)

Motivation and Expected Impact

This special edition aims to consolidate a national and international reference space for scientific discussions on Responsible, Ethical, and Sustainable AI, strengthening the Brazilian research community in AI, Computational Linguistics, and Information Processing.

In addition to scientific contributions, it is expected to foster:

  • development of resources and benchmarks in Portuguese;
  • integration between academia, industry, and the public sector;
  • training of specialized human resources;
  • technology transfer;
  • development of AI solutions aligned with ethical, social, and environmental principles.