News

2025-08-29
Summary of the meeting on the ethics of data collection for AI systems
On August 26, 2025, a meeting was held in Żory between members of the SIBA Foundation and technical managers from four transport companies in the Silesian Province. The meeting was devoted to discussing key challenges and best practices related to the collection and use of data in artificial intelligence systems in the logistics industry. At the outset, it was emphasized that data is the foundation for the development of modern AI solutions that enable the optimization of transport processes, route planning, and demand forecasting. At the same time, it was pointed out that irresponsible data collection or processing can lead to privacy violations, loss of customer trust, and legal risks. The following issues were considered in the context of data acquisition:

    • 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
    The symposium on criteria for assessing the quality of information provided by devices based on artificial intelligence algorithms brought together experts in the fields of computer science, ethics, and law, as well as representatives of public institutions and technology companies.

    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
    Engineering symposium on the effectiveness of manufacturing process control in various industries

    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.