5 citations · 20 across the 9 of their papers we have counts for
9 papers
Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research
Clarisse de Souza, Gabriel Barbosa, Simone Diniz Junqueira Barbosa +3
Large language models are reshaping research practice while quietly eroding researchers epistemic accountability. This commentary introduces PEEL - Protocols for Epistemically Enga…
Human-AI Co-Creation Approach to Find Forever Chemicals Replacements
Juliana Jansen Ferreira, Vinícius Segura, Joana G. R. Souza +4
Generative models are a powerful tool in AI for material discovery. We are designing a software framework that supports a human-AI co-creation process to accelerate finding replace…
Toward Human-AI Co-creation to Accelerate Material Discovery
Dmitry Zubarev, Carlos Raoni Mendes, Emilio Vital Brazil +5
There is an increasing need in our society to achieve faster advances in Science to tackle urgent problems, such as climate changes, environmental hazards, sustainable energy syste…
Designer-User Communication for XAI: An epistemological approach to discuss XAI design
Juliana Jansen Ferreira, Mateus Monteiro
Artificial Intelligence is becoming part of any technology we use nowadays. If the AI informs people's decisions, the explanation about AI's outcomes, results, and behavior becomes…
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions
Juliana Jansen Ferreira, Mateus Monteiro
The explanation dimension of Artificial Intelligence (AI) based system has been a hot topic for the past years. Different communities have raised concerns about the increasing pres…
Evidence-based explanation to promote fairness in AI systems
Juliana Jansen Ferreira, Mateus de Souza Monteiro
As Artificial Intelligence (AI) technology gets more intertwined with every system, people are using AI to make decisions on their everyday activities. In simple contexts, such as…
Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution
Juliana Jansen Ferreira, Mateus de Souza Monteiro
The application of Artificial Intelligence (AI) tools in different domains are becoming mandatory for all companies wishing to excel in their industries. One major challenge for a…
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
Rafael Brandão, Joel Carbonera, Clarisse de Souza +3
The presumed data owners' right to explanations brought about by the General Data Protection Regulation in Europe has shed light on the social challenges of explainable artificial…
SigniFYI-CDN: merged communicability and usability methods to evaluate notation-intensive interaction
Juliana Soares Jansen Ferreira, Clarisse Sieckenius de Souza, Rafael Rossi de Mello Brandão +1
We present SigniFYI-CDN, an inspection method built from previously proposed methods combining Semiotic Engineering and the Cognitive Dimensions of Notations. Compared to its prede…