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Artlogic Connect 2025 – Galleries Navigating Discretion in an Era of Disclosure

Publication date: September 16, 2025

KIELTYKA GLADKOWSKI KG LEGAL AT ARTLOGIC CONNECT 2025

Compliance strategies in art trade, taking into account thresholds for AML and KYC.

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Act on the national cybersecurity certification system – for whom cybersecurity certificates will be needed.

Publication date: September 16, 2025

Cybersecurity certifications are designed for IT professionals, including system and network administrators, security specialists, engineers, and those aspiring to these roles, to validate their knowledge and practical skills in protecting against digital threats. The certification also covers ICT products, services, and processes, and aims to inform consumers about the level of digital security and support Polish companies in European markets.

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Optical Illusions in AI Systems, the Danger of Adversarial Attacks, Biological Technologies, Explainable AI – topics discussed during Futurology Congress 2025

Publication date: September 15, 2025

On September 12-14, 2025, lawyers from KIELTYKA GLADKOWSKI KG LEGAL participated in the annual Futurology Congress in Krakow.

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Kiełtyka Gładkowski KG LEGAL published an article in the largest financial and legal information journal in Poland regarding the new requirements for cybersecurity certificates

Publication date: September 16, 2025

https://www.infor.pl/prawo/nowosci-prawne/7051366,dla-kogo-certyfikaty-cyberbezpieczenstwa-czy-sa-obowiazkowe-ustawa-o-krajowym-systemie-certyfikacji-cyberbezpieczenstwa-juz-weszla-w-zycie.html

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Participation of KG Legal Kiełtyka Gładkowski Law Firm in the webinar ‘Artificial intelligence in medicine – practical applications and the future of healthcare’

Publication date: September 16, 2025

On September 11th, we had the pleasure of participating in an event organized by LifeScience Cluster on the application of artificial intelligence in healthcare. The webinar began with an explanation of the very concept of AI, which is controversial and riddled with myths. A key element of AI is machine learning.

It involves creating predictions based on previous data. Within machine learning, deep learning, a model based on neural networks, was developed. The difference between traditional machine learning and deep learning lies primarily in the number of neural network layers. These enable the recognition of increasingly complex relationships. The concept of data science, which lies between artificial intelligence and data analysis, was also mentioned. It is the art of combining data with practice. This allows for the automation of many processes and better decision-making.
https://lifescience.pl/wydarzenie-klastra/sztuczna-inteligencja-w-medycynie-praktyczne-zastosowania-i-przyszlosc-opieki-zdrowotnej/

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