On June 15-16, 2021 was held the exhibition of the AI Coalition. At the stands, prominent Hungarian representatives presented their AI applications, while at the conference, meaningful lectures provided an overview of where Hungarian AI efforts are taking place. Demonstrations of the members of the National Laboratory of Artificial Intelligence were also on display at the exhibition held in the Q building of the Budapest University of Technology and Economics. The closed professional day was attended by members of the AI Coalition. In their joint press conference, Dr. László Palkovics, Minister of National Innovation and Technology, and Jakab Roland, President of the MI Coalition reported about the results of artificial intelligence research and application and outlined the areas where they will work to improve the use of AI systems.
On June 16, 2021 will be held the joint event of the Artifical Intelligence Coalition and the Ministry for Innovation and Technology, which brings together the best of the Hungarian AI ecosystem. At the stands, prominent Hungarian representatives will present their AI applications, while at the conference, meaningful lectures will provide an overview of where Hungarian AI efforts are taking place.
Artificial Intelligence National Laboratory project of the Centre for Social Sciences (TK MILAB) is also represented by one of its sub-projects (Zoltán Kmetty (CSS-RECENS), Bence Ságvári (CSS-RECENS) and external researcher Eszter Rita Katona).
The event is free, but registration is required: https://kiallitas.ai-hungary.com/
Online Research Seminar Series: AI and Law
The next research seminar covers the following topic: Computational Accountability
Speaker: Joris Hulstijn, Tilburg University, Tilburg School of Economics and Management
Time: Thursday, 1 April 2021, 10:00 CET
Find more information about this event by clicking HERE
Registration: https://forms.gle/DwJrvChPQxycmhpa9
Online Research Seminar Series: AI and Law
The aim of the seminar series is to continue the discourse on the legal and regulatory implications of AI and related technologies in the European and the global legal, economic and social space. It brings together scholars and practitioners with a distinct multidisciplinary orientation covering the technology, its politics, policy-making and regulation, the law, and the relevant values. The series aims to foster a critical understanding of technological changes and a critical analysis of ongoing and future policy, regulatory and legal developments.
AI and Fundamental Rights: Public Perceptions, General Awareness and Selected Fundamental Rights Issues
Speaker: Tamás Molnár, Programme Officer, Research and Data Unit, European Union Agency for Fundamental Rights (Vienna)
Time: Thursday, 25 March 2021, 10:00 CET (90 min.)
Find more information about this event here: https://file.tk.mta.hu/index.php/s/DmyCFPm2GrccoGq
Registration: https://forms.gle/8cfvDPb34yywCkHk7
The seminar will be broadcasted via Zoom application. Participation is subject to prior registration. The Zoom link of the event will be sent to registered participants via email.
The new Frontiers Research Topic ’Analysing Legislative Backsliding and Democratic Deconsolidation with Big Data’ welcomes papers from a wide variety of methodologies, particularly those relying on quantitative text analysis, text mining, machine learning, and related Big Data approaches.
We successfully held the online kickoff conference of the CSS Artificial Intelligence National Laboratory with more than 120 participants. In addition to the presentation of the subprojects taking place in the Centre, the audience was able to get acquainted with the projects running in the institutions participating in the MILAB consortia. The event was divided into three sessions, with a total of 10 presentations. Without being exhaustive, the audience was able to get answer many exciting questions, e.g. the possibilities of different professional applications of natural language processing, or how to model mass spatial motion from mobile communication date and identify groups with similar spatial behavior patterns based on them, or the challenges of the legal environment of artificial intelligence.
