Biography
Doaa Ahmad Hawa is a student of Industrial Pharmacy at Maaref University of Applied Sciences, Syria. Her academic interests include pharmaceutical manufacturing, quality control, and drug research and development. She is developing her scientific knowledge alongside communication, teamwork, and problem-solving skills, with the aim of pursuing a career in the pharmaceutical sector. She is particularly interested in how rigorous study and technical competence can support the quality and safety of medicines.
Conference contributions 1
LINKING HUMAN LANGUAGE AND ARTIFICIAL INTELLIGENCE:
Opportunities, challenges, and ethical frontiers
Linking Human Language and Artificial Intelligence: Opportunities, Chal Recent advances in artificial intelligence (AI) have significantly altered how machines understand and generate human language. Large language models have made it possible for natural language processing (NLP) systems to perform complex linguistic tasks like sentiment analysis, translation, summarization, and dialogue generation with near-human proficiency. This paper explores the dynamic relationship between language and Al, focusing on how computational models learn language, interpret meaning, and deal with contextual variation using large-scale datasets.The study looks at important technological developments that have spurred progress in this field, particularly transformer-based architectures and deep learning techniques. It also addresses enduring problems like training data bias, cultural and contextual knowledge gaps, and concerns about accountability and transparency in automated systems. The study also looks at how Al-driven language technologies may affect society more broadly in areas like digital communication, healthcare, and education.By critically analyzing both the advantages and disadvantages of existing Al language systems, this study advances our understanding of how these systems impact human interaction and knowledge production. In addition to highlighting future research directions, the paper's conclusion emphasizes the significance of developing inclusive, understandable, and morally sound Al systems that are consistent with human values.