Ms. Ksenia Kharitonova is an active researcher in natural language processing and artificial intelligence, with a strong focus on multilingual technologies, bias detection and mitigation, conversational systems, and reliable applications of large language models. Her scholarly output includes 9 research documents, which have collectively received 31 citations, resulting in an h-index of 3, reflecting emerging and consistent academic impact. Her work spans high-quality journal publications and leading international conferences, addressing topics such as racism and sexism detection in dialogue, retrieval-augmented generation for medical question answering, evidence-based mental health Q&A systems, and gender bias in neural machine translation. She has contributed to the development of large multilingual datasets and resources for low-resource languages, as well as methodological advances in explainable and ethical AI. Overall, her research advances trustworthy, inclusive, and multilingual language technologies with applications in healthcare, social computing, and human-centered AI.