Исследования

Amina Baikenova and Ulzhan Alibek Participate in Go Digital Eurasia 2026 Discussions - ISSAI

On November 5-6, 2026, representatives of the Institute of Smart Systems and Artificial Intelligence (ISSAI) at Nazarbayev University, Amina Baikenova, Deputy Director of Product and External Affairs, and Ulzhan Alibek, External Affairs Manager, participated in Go Digital Eurasia 2026, a conference and exhibition bringing together executives of major enterprises and technology experts to discuss digital […]

6 November 2026 · Source: ISSAI (Nazarbayev University)

On November 5-6, 2026, representatives of the Institute of Smart Systems and Artificial Intelligence (ISSAI) at Nazarbayev University, Amina Baikenova, Deputy Director of Product and External Affairs, and Ulzhan Alibek, External Affairs Manager, participated in Go Digital Eurasia 2026, a conference and exhibition bringing together executives of major enterprises and technology experts to discuss digital transformation, innovative business development, and the practical application of advanced technologies. During the conference, Amina Baikenova moderated the session “Artificial Intelligence in Industrial Infrastructure,” featuring Abul Tihor, Data Modelling & Analytics Supervisor at Kazzinc; Pavel Brook, Regional Sales Director at Ansys; and Viktoria Zarichanskaya, Technical Project Lead at Business and Digital Services. The discussion explored the role of AI in building, optimising, and managing industrial systems, focusing on the integration of AI into production processes, real-time monitoring and decision-making, the application of edge AI versus cloud-based AI in industrial environments, as well as system reliability, fault tolerance, and the importance of human oversight. In addition, Amina Baikenova participated as a speaker in the “Final Dialogue: What Really Concerns Big Business,” moderated by Pavel Brook, Regional Sales Director at Ansys. The discussion addressed the practical challenges and priorities of digital transformation for large businesses, including digital solutions that have failed to meet expectations, the areas where AI delivers tangible management value, workforce skills and competencies, accountability, balancing speed with sustainability, and business priorities for 2026-2027. Other speakers included Olga Baspayeva, CEO of Astana International Financial Centre Academy; Kamshat Dosmanbetova, Chief Reliability Officer at Alatau City Bank; Igor Perovskiy, Director of Business Direction at ForteBank; and Aigerim Zhangozhina, Innovation Management Consultant at Coventry Kazakhstan. ISSAI’s participation in Go Digital Eurasia 2026 provided an opportunity to share the Institute’s expertise, engage with industry representatives, and strengthen professional connections. Participation in such platforms contributes to fostering collaboration between research institutions and industry and promoting the practical application of artificial intelligence across Kazakhstan’s key sectors.

Read at the source →

More in this topic

ИсследованияSame Facts, Different Remedy: Linguistic Profiling and Arbitrariness in LLM and System One DecisionsarXiv:2611.08995v1 Announce Type: new Abstract: Large language models are increasingly used to resolve consumer complaints, and the way complainants write varies with age, education and socioeconomic status (SES). We audit three remedy-decision systems using sociolinguistic rewrites of US consumer financial complaints that are instructed to preserve every fact: two generative LLMs that return a single label (GPT-4o-mini and GPT-5-mini) and a probabilistic "System One" model that returns a distriarXiv cs.CY (Computers and Society)
ИсследованияAI Exposure and the Changing Responsibilities in Job PostingsarXiv:2611.09870v1 Announce Type: new Abstract: The growing adoption of artificial intelligence (AI) in the workplace has raised questions about how employer demand for different work activities is changing. We examine how the prevalence and content of work activities in online job postings change in association with activity-level measures of AI exposure, derived from Copilot and Claude usage. To enable systematic comparisons, we develop a pipeline that extracts the responsibilities from job adarXiv cs.CY (Computers and Society)
ИсследованияSeeing Is Not Knowing: The Epistemic Limits of LLM-Based Mental Health Inference from Youth Social Media ConversationsarXiv:2611.08565v1 Announce Type: cross Abstract: Adolescents increasingly use social media for private conversations, sharing experiences and seeking support. These interactions generate digital traces, prompting efforts to infer mental health and psychosocial states. As large language models become more capable of reasoning about conversations and interpersonal dynamics, a fundamental question remains nonetheless: what can models actually "know" about an individual's psychological experience farXiv cs.CY (Computers and Society)
ИсследованияEntering a New Domain in the Era of Generative AI: An Autoethnography of Solo Game Development as a Bioinformatics EducatorarXiv:2611.09623v1 Announce Type: cross Abstract: The rapid improvement of generative AI (GenAI) not only increased the efficiency of practice but also empowered individuals with capabilities to explore new domains. However, identity formation in the wake of such empowerment remains understudied. We use an autoethnography to understand identity formation in the context of solo game development as a bioinformatics educator. With the goal of developing a create-your-own-adventure (CYOA) game, we carXiv cs.CY (Computers and Society)