Could a Conversational AI Identify Offensive Language?

Abstract

In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI applications possible. Those algorithms are built based on historical data in order to create language models, however historical data could be intrinsically discriminatory. This article investigates whether a Conversational AI could identify offensive language and it will show how large language models often produce quite a bit of unethical behavior because of bias in the historical data. Our low-level proof-of-concept will present the challenges to detect offensive language in social media and it will discuss some steps to propitiate strong results in the detection of offensive language and unethical behavior using a Conversational AI.

An Examination of the Opportunities and Challenges of Conversational Artificial Intelligence in Small and Medium Enterprises

“…The current era of conversational AI, characterised by deep understanding and neural networks, started in the 2010s. This has led to the development of advanced systems [20], such as OpenAI's GPT-3.5 and Google's Meena. Today's CAI, powered by generative AI capabilities, can generate human-like text and understand the context using Natural Language Programming (NLP).…”