Conversational agents trained on large unlabeled corpora of human interactions will learn
patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior …

The social impact of natural language processing and its applications has received
increasing attention. In this position paper, we focus on the problem of safety for end-to-end …

Conversational Agents are becoming ubiquitous in our daily lives. They are used in various
areas including customer service, education, medicine, and entertainment. As tools that are …

We present the first English corpus study on abusive language towards three conversational
AI systems gathered" in the wild": an open-domain social bot, a rule-based chatbot, and a …

Large language models (LLMs) have brought breakthroughs in tasks including translation,
summarization, information retrieval, and language generation, gaining growing interest in …

Despite remarkable advances that large language models have achieved in chatbots,
maintaining a non-toxic user-AI interactive environment has become increasingly critical …

Technology companies have produced varied responses to concerns about the effects of the
design of their conversational AI systems. Some have claimed that their voice assistants are …

We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the
2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is …

Current open-domain conversational models can easily be made to talk in inadequate ways.
Online learning from conversational feedback given by the conversation partner is a …

The ability to recognise emotions lends a conversational artificial intelligence a human
touch. While emotions in chit-chat dialogues have received substantial attention, emotions in …