An AI Expert from Korea Addresses Ensuring Responsible AI Text Generation
In the rapidly advancing world of artificial intelligence, Bruce W. Lee, a distinguished researcher at the University of Pennsylvania, has emerged as a leading authority in natural language processing and text complexity analysis. His expertise in this domain has earned him accolades, including the prestigious Minister of Science and ICT Award at the '2022 Challenge! K Startup Competition' in Korea. Lee's visionary views revolve around the potential misuse of large language model-based text generation systems. As these models become increasingly adept at mimicking human language, there arises a pressing need to prevent abusive cases that may arise from such advancements. Drawing upon traditional linguistics, Lee is pioneering research to address this concern. Having spent years delving into text analysis techniques, Lee believes that more manual aspects of computational linguistics hold the key to taming the power of AI. By harnessing the linguistic expertise accumulated over the years, he envisions a harmonious coexistence between text generation and analysis, leading to a more secure future. In his current research, Lee is focusing on Handcrafted Linguistic Features—indicators that shed light on linguistic nuances in various contexts, including fake news detection and several other educational applications. While modern era AI models excel in generating content, revisiting the more traditional part of linguistics can contribute immensely by automating the process of meticulously scrutinizing their outputs, ensuring responsible AI usage. Among Lee's notable endeavors is his work in readability assessment—an essential aspect of gauging the perceived comprehension difficulty of a text snippet. His pioneering studies have resulted in the development of several handcrafted linguistic features and open-source programs. These indicators have found application in diverse fields, such as machine translation and automatic essay scoring. Now, Lee is channeling his expertise to evaluate AI-generated text using these readability indicators. By doing so, he aims to create a powerful safety mechanism to protect against potential abuses in the upcoming AI era. Speaking of the significance of domestic research in readability assessment, Lee emphasized that while Korea boasts some of the world's finest research in this field, challenges still remain. With his recent publications in prestigious conferences like EACL and EMNLP, Lee's team seeks to tackle the training data scarcity issue, anticipating promising outcomes. As we brace ourselves for the inevitable AI revolution, Lee's groundbreaking work offers hope and assurance—guiding us towards a future where technology and humanity unite harmoniously. With a focus on text analysis and a vision for a safer AI-powered world, Lee's research paves the way for a more enlightened future. 이동희 기자 ([email protected])generation ensuring text generation text analysis text complexity
2023.07.31. 20:18
