The risks associated with artificial intelligence in healthcare are extremely diverse and complex. These may include not only potential harm to patients, but also impact on medical practice, physician effectiveness, and medical ethics. For example, artificial intelligence algorithms can influence the clinical decisions of physicians by suggesting diagnoses or therapies based on the analysis of patients’ medical data. However, if these algorithms are not sufficiently accurate or are not properly tested, they can lead to misdiagnoses or therapeutic recommendations, which in turn can negatively affect patients and treatment outcomes.
Therefore, it is necessary to properly classify and identify the risks associated with each artificial intelligence tool in health care. Some algorithms can represent low risk when used in simple tasks, such as analysing laboratory test results. However, if they are used in more complex situations, for example in the diagnosis of diseases, the risk can be much greater.
On 19 October 2024 the lawyers of KIELTYKA GLADKOWSKI took part in the event organized by the Astronomical Observatory of the Jagiellonian University, the oldest university in Poland. The event was co-organised by the Faculty of Physics, Astronomy and Applied Computer Science of the Jagiellonian University and was focused on the technical aspects of the observation of the C/2023 A3 (Tsuchinshan-ATLAS) comet.
Directive 2019/790 on copyright and related rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/EC
The intersection of copyright and AI is a rapidly evolving area with significant implications for creators and consumers alike. With a digital twin, you can simulate the behavior of real-world objects under different conditions, allowing you to better understand how they function and optimize their performance. As digital twin technology evolves and is used across industries, it becomes increasingly important to analyze the legal landscape surrounding its use. It’s essential to find a balance that promotes innovation while protecting individual rights and creative integrity.
Cryptocurrency crime refers to any illegal activity involving the use of cryptocurrencies such as Bitcoin, Ethereum, or others. Some common types of cryptocurrency crime include:
Fraud: This can include scams, Ponzi schemes, and other types of fraudulent activities where criminals use cryptocurrencies to deceive victims and steal their money.
Hacking: Hackers may target cryptocurrency exchanges or individual wallets to steal cryptocurrencies from their owners.
Money laundering: Criminals can use cryptocurrencies to launder money by converting illegal funds into cryptocurrency and then transferring the funds to different accounts.
Ransomware: Ransomware attacks involve encrypting a victim’s computer or files and demanding payment in cryptocurrency in exchange for the decryption key.
Darknet markets: Cryptocurrencies are often used to purchase illegal goods and services on darknet markets, such as drugs, weapons, or stolen personal information.
On October 10, 2024, Karol Wolak, of KG LEGAL Kiełtyka Gładkowski took part in the event “Deciphering the codes of drug discovery: application of machine learning in designing compound libraries” organized by Selvita as part of the cyclical meetings of LifeScience Kraków Cluster.
