Large Language Models (LLMs) such as ChatGPT by OpenAI or BERT by Google are artificial intelligence-based machine learning models trained on large amounts of text data to generate human-like language responses, which enhance productivity in daily work. However, privacy concerns have surfaced in Europe regarding the use of private publicly available data to create LLMs models. The same issues are predicted to arise in other countries which may lead to blocking such applications.
The democratization of the internet has led to the growth of online content, resulting in search engine emergence and advancements in Natural Language Processing (NLP), leading to LLMs. Nonetheless, ethical concerns still exist regarding LLMs, including the legality of using available online documents to learn LLMs and the possibility of monetizing information.
ISBInsight, a research publication of the Indian School of Business, highlights the ethical issues of LLMs and provides remedies to mitigate them. The ISBInsight article looks at the evolution of the internet, starting with the growth of online content and search engines, and eventually leading to LLMs. The publication provides a comprehensive analysis of the ethical issues with LLMs and how to resolve them.
In conclusion, while LLMs can boost productivity, it’s crucial to address concerns related to data privacy and legality. The rise of LLMs not only promotes technological advancements but demonstrates the importance of responsible data use to protect individuals’ privacy.
