Bias and fairness in chatbots: An overview

J Xue, YC Wang, C Wei, X Liu, J Woo… - arXiv preprint arXiv …, 2023 - arxiv.org
Chatbots have been studied for more than half a century. With the rapid development of
natural language processing (NLP) technologies in recent years, chatbots using large …

Adding guardrails to advanced chatbots

Y Wang, L Singh - arXiv preprint arXiv:2306.07500, 2023 - arxiv.org
Generative AI models continue to become more powerful. The launch of ChatGPT in
November 2022 has ushered in a new era of AI. ChatGPT and other similar chatbots have a …

Measuring and mitigating bias in ai-chatbots

H Beattie, L Watkins, WH Robinson… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The use of artificial intelligence (AI) to train conversational chatbots in the nuances of human
interactions raises the concern of whether chatbots will demonstrate prejudice similar to that …

[PDF][PDF] A Literature Survey of Recent Advances in Chatbots. Information 2022, 13, 41

G Caldarini, S Jaf, K McGarry - 2022 - researchgate.net
Chatbots are intelligent conversational computer systems designed to mimic human
conversation to enable automated online guidance and support. The increased benefits of …

Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models

H Su, CC Cheng, H Farn, SH Kumar, S Sahay… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, researchers have made considerable improvements in dialogue systems with the
progress of large language models (LLMs) such as ChatGPT and GPT-4. These LLM-based …

Ethical ChatGPT: Concerns, challenges, and commandments

J Zhou, H Müller, A Holzinger, F Chen - arXiv preprint arXiv:2305.10646, 2023 - arxiv.org
Large language models, eg ChatGPT are currently contributing enormously to make artificial
intelligence even more popular, especially among the general population. However, such …

Chatbot efficiency—Model testing

S Bialkova - The rise of AI user applications: Chatbots integration …, 2024 - Springer
The factors hypothesised in the conceptual model of chatbot efficiency (see Chap. 4,
Bialkova,) were tested in an empirical study. Users who had used a chatbot at least once in …

Excitement and concerns about machine learning-based chatbots and talkbots: A survey

P Rivas, K Holzmayer, C Hernandez… - … on Technology and …, 2018 - ieeexplore.ieee.org
Chatbots and talkbots are intelligent programs that can establish written and oral
communication with human beings, usually with the purpose of helping them achieve a …

[PDF][PDF] Exploring Social Bias in Chatbots using Stereotype Knowledge.

N Lee, A Madotto, P Fung - Wnlp@ Acl, 2019 - winlp.org
Exploring social bias in chatbots is an important, yet relatively unexplored problem. In this
paper, we propose an approach to understand social bias in chatbots by leveraging …

Chatbot or Chat-Blocker: Predicting chatbot popularity before deployment

M Gao, X Liu, A Xu, R Akkiraju - … of the 2021 ACM Designing Interactive …, 2021 - dl.acm.org
Chatbots are widely employed in various scenarios. However, given the high costs of
chatbot development and chatbots' tremendous social influence, chatbot failures may …