11 citations · 35 across the 13 of their papers we have counts for
13 papers
Creating an African American-Sounding TTS: Guidelines, Technical Challenges,and Surprising Evaluations
Claudio Pinhanez, Raul Fernandez, Marcelo Grave +2
Representations of AI agents in user interfaces and robotics are predominantly White, not only in terms of facial and skin features, but also in the synthetic voices they use. In t…
Exploring the Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Out-of-Scope Detection Tasks
Claudio Pinhanez, Paulo Cavalin
This work explores the intrinsic limitations of the popular one-hot encoding method in classification of intents when detection of out-of-scope (OOS) inputs is required. Although r…
Towards a New Science of Disinformation
Claudio S. Pinhanez, German H. Flores, Marisa A. Vasconcelos +4
How can we best address the dangerous impact that deep learning-generated fake audios, photographs, and videos (a.k.a. deepfakes) may have in personal and societal life? We foresee…
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
Claudio S. Pinhanez
In this position paper, I argue that the best way to help and protect humans using AI technology is to make them aware of the intrinsic limitations and problems of AI algorithms. T…
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms
Claudio Pinhanez, Paulo Cavalin, Victor Ribeiro +8
In this paper we explore the use of meta-knowledge embedded in intent identifiers to improve intent recognition in conversational systems. As evidenced by the analysis of thousands…
A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups
Maira Gatti de Bayser, Melina Alberio Guerra, Paulo Cavalin +1
To predict the next most likely participant to interact in a multi-party conversation is a difficult problem. In a text-based chat group, the only information available is the send…
Machine Teaching by Domain Experts: Towards More Humane,Inclusive, and Intelligent Machine Learning Systems
Claudio Pinhanez
This paper argues that a possible way to escape from the limitations of current machine learning (ML) systems is to allow their development directly by domain experts without the m…
Learning Multi-Party Turn-Taking Models from Dialogue Logs
Maira Gatti de Bayser, Paulo Cavalin, Claudio Pinhanez +1
This paper investigates the application of machine learning (ML) techniques to enable intelligent systems to learn multi-party turn-taking models from dialogue logs. The specific M…
Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents
Claudio S. Pinhanez, Heloisa Candello, Mauro C. Pichiliani +4
This work compares user collaboration with conversational personal assistants vs. teams of expert chatbots. Two studies were performed to investigate whether each approach affects…
Combining Textual Content and Structure to Improve Dialog Similarity
Ana Paula Appel, Paulo Rodrigo Cavalin, Marisa Affonso Vasconcelos +1
Chatbots, taking advantage of the success of the messaging apps and recent advances in Artificial Intelligence, have become very popular, from helping business to improve customer…
A Social Network Analysis Framework for Modeling Health Insurance Claims Data
Ana Paula Appel, Vagner F. de Santana, Luis G. Moyano +2
Health insurance companies in Brazil have their data about claims organized having the view only for providers. In this way, they loose the physician view and how they share patien…
Computer Interfaces to Organizations: Perspectives on Borg-Human Interaction Design
Claudio Pinhanez
We use the term borg to refer to the complex organizations composed of people, machines, and processes with which users frequently interact using computer interfaces and websites.…
A Hybrid Architecture for Multi-Party Conversational Systems
Maira Gatti de Bayser, Paulo Cavalin, Renan Souza +4
Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems. From the moment that an utterance is sent to a group, to the…