News
2025-02-12
In recent days, a meeting was held with local doctors to discuss the concept of automated remote diagnostics using artificial intelligence. The event had a consultative character and focused primarily on identifying real patient needs and the everyday challenges faced by medical facilities. At this stage, no ready-made system was presented — the discussion centered on development directions and potential solutions.
Participants shared their experiences related to the growing number of patients requiring continuous monitoring, particularly those with chronic conditions, seniors, and residents of smaller communities. The need to develop a tool enabling the secure transmission of basic medical data and its preliminary analysis with AI support was strongly emphasized.
The discussions covered the potential scope of such a solution, including remote assessment of selected health parameters, support in the triage process, and an alert system for abnormal results. Doctors highlighted that any future tool must be intuitive, integrated with existing medical documentation systems, and designed to genuinely reduce workload rather than create additional administrative burdens.
Data security, clinical responsibility, and compliance with applicable regulations were also key topics. Participants agreed that technology should support the diagnostic process, not replace the physician’s expertise and judgment.
The meeting marked an important first step toward developing a shared vision of a solution tailored to the needs of the local community. The insights and recommendations gathered will serve as a foundation for further conceptual work and for assessing the feasibility of implementing the project in the future.
2025-08-29
- Transparency – participants agreed that companies should clearly communicate what data they collect and for what purpose. Lack of transparency can result in mistrust among both customers and business partners.
- Data minimization – attention was drawn to the need to collect only the information that is necessary to achieve specific logistical goals. Excessive data collection can be perceived as abuse.
- Anonymization and security – the need to use anonymization mechanisms to prevent the identification of individuals was emphasized, as well as the need to invest in technologies that protect data from leaks.
- User consent and control – companies should ensure that employees and customers have a real say in what data is collected about them and how it is used.
At the end of the meeting, several recommendations were formulated:
- Develop a code of good practice for data collection and use in logistics.
- Provide regular training for employees on data ethics and information security.
- Create a common platform for the exchange of experiences between local companies in order to develop consistent standards.
- Implement audit tools to monitor compliance with regulations and the ethical use of data.
2025-05-10
On May 8-9, 2025, a symposium on the criteria for assessing the quality of information provided by devices based on artificial intelligence algorithms was held in Żory, bringing together experts in the fields of computer science, ethics, and law, as well as representatives of public institutions and technology companies. The main goal of the meeting was to define standards for assessing the reliability, transparency, and usefulness of information generated by AI systems used in areas such as administration, healthcare, education, and the media.
The participants agreed that not only the accuracy and timeliness of data are crucial, but also its comprehensibility to users and the possibility of verifying sources. Attention was drawn to the risk of misinformation, algorithmic bias, and a lack of clarity regarding the methods of information processing by AI systems. The introduction of standardized quality indicators, algorithm certification, and mandatory error reporting was proposed.
An important part of the symposium was the discussion on responsibility – who is liable for wrong decisions made on the basis of data generated by AI. The need to create interdisciplinary control teams and develop legal regulations that take into account the specific nature of algorithms was pointed out.
The symposium concluded with the adoption of recommendations for further work on the information quality assessment system and the establishment of a working group to prepare guidelines for implementation in the public and private sectors.
2025-03-07
On March 6-7, 2025, an engineering symposium dedicated to the effectiveness of manufacturing process control in various industrial sectors was held in Katowice. The event brought together representatives of the scientific community, industry, and specialists in the fields of automation, IT, and production engineering. The discussion focused on the challenges of ensuring high quality and repeatability of manufacturing processes, as well as ways to optimize them.
Particular attention was paid to the software and electronics industries, where precise process control is crucial for the reliability of end products. Participants debated modern quality management methods, the use of artificial intelligence in system testing, and the automation of production processes. Case studies were also presented in which the implementation of solutions based on data analysis and DevOps methodology contributed to a significant increase in efficiency and reduction of errors.
The symposium concluded with a summary of recommendations for companies, pointing to the need to integrate interdisciplinary strategies and invest in technological innovation as a condition for the further development of high-precision industries.