6th Polish Conference on Artificial Intelligence

7 Apr 2025, 09:00 → 9 Apr 2025, 15:30 Europe/Warsaw

Katowice

prof. Beata Zielosko, prof. Rafał Doroz (Uniwersytet Śląski, Instytut Informatyki)

PP-RAI aims to bring together researchers from the domain of Artificial Intelligence and provide a platform for:

• discussion on the new forms of organisation and cooperation of research teams, as a response to the growth of interest in AI and pointing out the strategic directions of research and applications, including interdisciplinary areas,
• indication of the need for changes in cooperation between the scientific community, business partners, and state research institutions,
• discussion on the new forms of organisation and cooperation of research teams, as a response to the growth of interest in AI and pointing out the strategic directions of research and applications, including interdisciplinary areas.

Monday 7 April

11:30 → 12:15 OPENING CEREMONY

12:15 → 13:15 PLENARY 1 Context Knowledge and Large Language models

Chair: Prof. Janusz Kacprzyk
Abstract:
In recent years, there has been a rapid advancement in generative AI and its applications, highlighted by the widespread release of ChatGPT on the Web, showcasing both its potential and limitations. Large Language Models are one of the core technologies driving generative AI and are currently being used across a wide range of NLP tasks, including machine translation, conversational agents, and more. However, LLMs still expose certain limitations, notably their inability to fully understand and rely on context knowledge relevant to the specific task.
A typical approach is to make use prompting techniques to guide the generation of text by taking into account the so called “in-context”, without modifying the model’s parameters. Recently, a branch of research is focusing on exploring ways to improve the modeling and control of the process of injecting context (world knowledge) into models. In this talk, I will present some approaches aimed at this goal, and I will discuss the research challenge of creating personal language models—LLMs tailored to a specific user knowledge (such as the user expertise and language knowledge of individual users or specific user groups).

Speaker: Prof. Gabriella Pasi

13:15 → 14:30 ORAL 1: Decision-Making and Classification in Complex & AI in Human Behaviour Analysis

Conveners: Agnieszka Nowak-Brzezinska (Wydział Nauk Ścisłych i Technicznych, Uniwersytet Śląski, Instytut Informatyki), Prof. Katarzyna Harężlak, prof. Michał Baczyński

13:15 Lessons Learned from Employing Monte Carlo Tree Search to Train Rule-Based Models for Intelligent Game Agents

Speaker: Maciej Świechowski

13:30 Dynamic Fatigue Prediction in Football: A Deep Learning-Driven Approach to Optimize Performance

Speakers: Paweł Dopierała, Paweł Łączkowski, Tomasz Górecki, Tomasz Piłka, Wiktor Leszczyński

13:45 Exploring potential of Expected Solution Point in group decision-making

Speakers: Andrii Shekhovtsov, Wojciech Sałabun

14:00 Analysis of Ranking Methods and Classifiers for Drift Detection using the Feature-based Drift Detector

Speakers: Janusz Kacprzyk, Piotr Wasilewski, Sławomir Zadrożny

14:15 FCA based preference representation for supporting consensus reaching

Speakers: Janusz Kacprzyk, Piotr Wasilewski, Sławomir Zadrożny

13:15 → 14:30 ORAL 1: Generative Artificial Intelligence

Convener: prof. Urszula Boryczka

13:15 → 14:30 ORAL 1: Young.AI

Convener: Dr Tomasz Wesołowski

14:30 → 15:15 COFFEE BREAK

15:15 → 17:15 PANEL 1: How to improve human trust in intelligent technologies

Speaker: Prof. Włodzisław Duch

17:15 → 18:45 PLATINUM SPONSORS PRESENTATION

Conveners: prof. Beata Zielosko, prpf. Rafał Doroz

17:15 ING

17:45 HEXAGON

18:15 Rockwell Automation

18:45 → 19:45 POSTERS 1: Data Mining and Machine Learning & Knowledge Engineering & Artificial Intelligence in Bioinformatics Young.AI & Remote Sensing and Satellite Data Analysis

POSTERS