Keynotes ETLTC & ICETM 2027

Prof. John Blake - Professor, University of Aizu, Japan 

Speaker H-Index - 10

Tracing AI Influence in Academic Prose: A Corpus Study of ChatGPT-Style Uptake

Abstract—This study explores the extent to which interaction with ChatGPT influenced the lexical and grammatical patterns in the writing of academic authors. As large language models (LLMs) have become widely used in research and writing processes, there has been growing anecdotal evidence of users internalizing distinctive linguistic features from AI-generated text. These include recurring lexical bundles and syntactic constructions, which may gradually become embedded in the idiolects of users and reappear in texts composed without AI assistance. Drawing on this premise, this study aimed to empirically assess whether such stylistic traces could be detected in unaided academic writing produced by regular users of ChatGPT. A corpus-based approach was adopted. A reference corpus of ChatGPT-generated academic texts was first compiled using prompts representative of those commonly entered by scholars. From this, high-frequency lexical and syntactic patterns were extracted using n-gram analysis and keyness scores. These features were then compared with academic writing samples authored by researchers who self-identified as regular ChatGPT users, specifically focusing on texts produced without direct AI assistance. Tailor-made scripts were used to quantify the presence of ChatGPT-like language in human-authored texts. The findings suggest measurable lexical convergence, with a subset of ChatGPT’s signature phrases appearing more frequently in the unaided texts of habitual users. This subtle influence raises important questions about the nature of authorship in the age of generative AI, particularly regarding originality, stylistic drift, and the ethical boundaries of assistance. The study contributes to emerging discussions on how LLMs both generate text and shape the linguistic habits of regular users.

Prof. Dr. Evgeny Pyshkin - Professor, University of Aizu, Japan 

Speaker H-Index - 14

Between the passion to arts and the pragmatism of computing: Enhancing the agenda of contemporary computer science and software engineering education with art studies

Abstract—Embracing uncertainty, abolishing the fear of not knowing, and acknowledging gaps in knowledge are key aspects of the contemporary educational paradigm that shifts the primary purpose of education from knowledge transfer to knowledge discovery, favoring the exploration of the unknown through a mutually immersive learning process involving both tutors and students. The arts transform technocratic societies by promoting humanized technologies, emphasizing both the importance of computer education for non-engineers and the necessity of arts literacy for IT professionals. Standard computer technology curricula are strongly focused on professional pragmatism and prioritize the development of professional skills over serving students’ needs across all aspects of their lives. Few courses introduce the arts to students, although developing students' appreciation for art would significantly extend their creative and critical thinking horizons. This talk is an effort to share an experience of introducing arts in the scope of traditional ICT classes offered to computer- and AI-literate students, where the essential topics from the domains of data management, programming, information retrieval, linguistics, and natural language processing are illustrated with the help of art metaphors and masterpieces of art; thus, as we hope, provoking the further interest and more active engagement of our students in understanding the serious arts, the latter including both traditional and, paradoxically, those appealing to the contemporary vision and involving generative AI.

Prof. Dr. Wolfgang Ziegler - Professor, Karlsruhe University of Applied Sciences, Germany

AI-Powered Analytics in Technical Communication: Advancing Information Management toward Content Data Science

Technical Communication (TC), as an interdisciplinary field within information management, is shaped by applied linguistics, computer science, and user-centered media design. Its primary goal is to create, manage, and deliver concise information tailored to the needs of its recipients. In modern settings, this is typically supported by topic-based content enriched with semantic metadata, such as PI classifications. 

So far, analytics in TC has received limited academic attention and has been applied in industry mainly through a few specialized tools. These tools focus on metrics and KPIs, such as linguistic content quality parameters or content reuse performance within content management processes. On the delivery side, user experience has been explored mainly through usability studies and web analytics of user behavior, often with an emphasis on sales-oriented contexts. 

In our recent approach, we aim to expand analytics in TC by leveraging AI—particularly language models—within an interactive environment called the PIAI-Lab. In collaborative business–academic projects, our goal is to provide easier access to analytical insights derived from content ensembles originating in content management systems (CMS) and used in various delivery scenarios. More broadly, our research focuses on three use cases: Content engineering in the pre-CMS phase, Content analytics within content management processes, and KPIs for content delivery in AI-driven environments such as chat systems and retrieval-augmented generation (RAG). 

We present typical approaches for these use cases in academic studies and derive characteristic properties of topic ensembles explored within the PIAI-Lab.

Mr. Rahul Autade

Sr. Manager – Payments Implementation, 3Itek

Pittsburgh, Pennsylvania, USA

Transforming Financial Services through AI and Blockchain: A Roadmap for Smart, Inclusive Payment Systems

As financial services evolve to meet the demands of a hyper-digital and inclusive economy, the integration of emerging technologies such as artificial intelligence and blockchain is becoming foundational. This talk explores how these technologies are being deployed to build smarter, more secure, and highly scalable payment systems. Drawing from over two decades of experience in fintech and digital infrastructure implementation across major U.S. banks, I will present real-world use cases highlighting intelligent fraud detection, blockchain-based settlements, and AI-driven customer personalization. The session will also explore the challenges and opportunities of deploying such technologies in emerging markets and smart environments. Attendees will gain a practical understanding of how to architect ethical, efficient, and resilient financial platforms that not only improve user experience but also advance financial inclusion and regulatory transparency.