Scientist: "AI should not be resisted, it should be harnessed"

January 28, 2025
Today, it is becoming increasingly difficult to avoid discussions about the application of artificial intelligence (AI) in various fields. Since its popularity surged in 2023, the use of AI has only continued to grow. For some, AI proves helpful in completing personal tasks, such as planning a trip, while others aim to leverage this technology to simplify work assignments, optimize processes, which is particularly important in the industrial sector.

However, like any new technology, AI also faces significant resistance worldwide, because of its function to mimick human intelligence and essentially do the work on behalf of humans, which raises concerns. But as Prof. Dr. Andrius Dzedzickis, an applied artificial intelligence expert at VILNIUS TECH, explains that there is no need for people to fear the computers and robots one day conquering the world or taking their jobs.

"AI is an excellent tool for performing complex, repetitive, or highly precise tasks, making it especially valuable in industry. Therefore, it shouldn’t be resisted—it should be harnessed," says the scientist.
 

Is it possible to get by without AI?

 

Prof. Dr. Dzedzickis from the VILNIUS TECH Faculty of Mechanics explains that AI is now widely applied across various industries, from machinery and equipment manufacturing to agriculture. Its main purpose is to optimize processes, increase efficiency, and reduce costs.

"In industry, artificial intelligence analyzes equipment loads and condition parameters, predicts potential failures before they occur, detects defects, optimizes the efficiency of production lines (thus reducing waste), manages inventory distribution, plans transportation routes, and forecasts the demand for goods or components.

AI is generally not applied in areas where technological limitations, regulatory barriers, ethical concerns, or low demand exist. The examples of that would be handicrafts or small-scale production of unique goods, such as traditional textiles," notes Dr. Dzedzickis, a professor in the Department of Mechatronics, Robotics, and Digital Manufacturing.

Moreover, AI helps tackle challenges and simplifies tasks that would take humans significantly more time to complete. For instace, it might take a person several days to analyze, categorize, and identify patterns among thousands of data points, while AI can complete such tasks in mere minutes. Additionally, the technology is less likely to make errors and eliminates the need for people to spend long hours on tedious tasks.

When applied in robotics, AI can enhance the accuracy of robotic movements. Last year, VILNIUS TECH researcher Dr. Marius Šumanas, for his dissertation, developed a method combining machine learning algorithms. This method adjusts robot movements to make them as precise and reliable as possible—a particularly critical factor in the industrial and medical sectors, where micrometer-level accuracy is essential.
 

Will AI replace humans?

 

Although AI takes over some human tasks, humanity is not at risk of being left without work. The technology operates within strictly defined environmental conditions. While it can generate ideas and analyze data, Prof. Dr. Dzedzickis points out that AI cannot replace human intuition, creativity, or strategic thinking.

"AI, like any other automation technology, is reshaping the job market. However, fears of mass unemployment are unfounded. AI may replace certain unskilled jobs, but it will also create new positions and opportunities. AI is a tool that enables humans to expand their capabilities and will serve as our assistant, just like other technologies, without replacing us," the professor explains.

Additionally, the operation of AI systems is continuously overseen by specialists in the respective field. Depending on the type of system, these experts monitor data collection and its processing to prevent incomplete or inaccurate data, test algorithm training processes, and analyze incorrect decisions made by the system.
 

The questions of ethics and reliability

 

When discussing AI, questions of its reliability often arise. This is partly due to the so-called "black box" phenomenon, where certain AI decisions cannot be explained or predicted. Sometimes, an AI program might even "hallucinate," providing incorrect results, so repeatedly relying on them would lead to flawed outcomes.

According to Prof. Dr. Dzedzickis, such issues are more common in general-purpose AI applications, which use large models and work with vast data sets. However, these limitations and unpredictable results are well known. Industrial AI, on the other hand, is developed and used differently.

"When we talk about forecasting and process optimization, decisions or recommendations must be verified, validated, and only then implemented. If we are discussing technological equipment management, the issues of black boxes or hallucinations are less relevant because different, less global models are often used. Black box solutions are primarily employed to protect intellectual property. Moreover, more reliable algorithms, tested with high-quality, limited data, are utilized.

For industry-specific AI algorithms, where system functionality may be critical, first extensive testing under various conditions is conducted, and only after statistically verifying the level of reliability are these algorithms deployed. For instance, in product quality control, the acceptable error rate might be 10 or 100 misclassified items out of 10,000 or more," explains the professor.
 

Will AI take over the world?

 

This question is frequently debated by AI critics and is a popular theme in both pop culture and conspiracy theories. However, the professor assures that such fears are unfounded.

"This is just another myth, similar to others humanity has faced since the First Industrial Revolution whenever a more complex or advanced technology emerged. I believe such myths stem partly from anthropomorphism—when we assign human traits to complex and unfamiliar objects or technologies, projecting our perspectives and thought processes onto them without considering their actual principles of operation.

AI, however, is a mathematical algorithm designed to perform specific tasks. It is not autonomous, has no emotions or feelings, and lacks any mystical ambitions to take over the world. The greater danger lies in how we, as humans, choose to apply it. Like any other tool, AI can be used to create or to destroy," concludes Prof. Dr. Andrius Dzedzickis from VILNIUS TECH.

Article prepared by Milda Mockūnaitė-Vitkienė, Project Manager for Internal Communications at VILNIUS TECH

Photograph by Aleksas Jaunius

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Student Memo: Where to park your car or bicycle, eat, and find your classrooms
Student Memo: Where to park your car or bicycle, eat, and find your classrooms
When starting your studies, it is not always clear during the first week where you can park your car or bicycle, which building your seminar will be in, or where you can eat or heat up your own food during breaks. To make settling into the academic year easier, we have prepared this memo. Student Car Parking: Students attending lectures at Saulėtekio al. 11 can park their cars in the lot located on Šatrijos Raganos Street. There is no barrier in this lot. How to find the lot: Driving from Saulėtekio al. – going up the hill past the roundabout and the university buildings. Or entering from Pragiedrulių, Mileišiškių sodų, or other streets onto Šatrijos Raganos Street – going down the hill before the roundabout and the university buildings. Students attending lectures on Plytinės Street can park in the lots located there. Students can enter the gated lot by tapping their activated student ID card at the terminal. Entrance to the lots is from Plytinės Street. Antanas Gustaitis Aviation Institute (AGAI) students, lecturers, and students or staff arriving at "Linkmenų fabrikas" can park in all lots. The barrier opens by tapping an activated student or staff ID card at the terminal. There are no dedicated parking lots for students attending lectures at the Old Town Campus (Trakų rūmai). Canteens and Cafes: Saulėtekis Campus: "Maisto imperija" (Building S2, 1st floor) – weighed food (you can build your own plate) – 1.70 € per 100 g, lunch of the day – 7.50 €, snacks, coffee, and other drinks. You can also heat up your own food here. Working hours: Monday–Thursday: 08:00–16:00; Friday: 08:00–15:00. "ARC BISTRO" (Building S3, 1st floor) – a menu consisting of a multi-course selection and daily lunch at a fixed price (up to 10 €), as well as snacks, coffee, and other drinks. Working hours: Monday–Friday: 11:00–15:00. Plytinė Campus (P2, 1st floor): "Confetti" – a menu consisting of a multi-course selection and daily lunch at a fixed price (up to 10 €), as well as snacks, coffee, and other drinks. You can also heat up your own food here. Working hours: Monday–Thursday: 09:00–16:00; Friday: 09:00–15:00. Old Town Campus (Senamiesčio rūmai): "Confetti" (Islandijos str. 3) – a menu consisting of a multi-course selection and daily lunch at a fixed price (up to 10 €), as well as snacks, coffee, and other drinks. Working hours: Monday–Friday: 07:45–15:00. Places where you can heat your own food in microwaves: When using microwaves, please maintain cleanliness, follow safety rules, and respect others: do not put in or heat items with shiny surfaces (e.g., cutlery, aluminum foil, etc.), do not slam the doors or other surfaces, wipe or clean the inside of the microwave or other surfaces (including the kitchenette) if needed, do not cut in line, and do not stop someone else's food from heating without permission, etc. Saulėtekis Campus: In the "Maisto imperija" canteen (Building S2, 1st floor), as well as in the Sustainability Centre (Building S5), and the 5th and 6th-floor kitchenettes in Building S6. Plytinė Campus: In the "Confetti" cafe (Building P2, 1st floor). Old Town Campus: In the Faculty of Architecture's 2nd and 3rd-floor kitchenettes (at the end of the corridor). AGAI: In the 2nd-floor kitchenette of the old building (near the Dean's office). It is planned that microwaves will also be available in the new building in the future. Linkmenų Campus: In the 2nd-floor kitchenette at "Linkmenų fabrikas". Library: Room 119, 1st floor. You can also make tea/coffee here. Places to leave your bicycle: Saulėtekis Campus: At special bike racks near the entrance to Building S2, and in the Central Building parking lot. Plytinė Campus: In the two designated bicycle shelters in the courtyard between buildings P1 and P2. Old Town Campus: At special bike racks near the entrances to each building. AGAI and Linkmenų Campus: At special bike racks near both departments. Library: At special bike racks near the entrance. Department/Building Abbreviations: Saulėtekis Campus (Saulėtekio al. 11, Vilnius): S1 Central Building (Administration, International Studies Centre, International Relations Office, etc.) S2 Classroom Building S3 Educational Building (Faculty of Civil Engineering, Faculty of Business Management) S4 Classroom Building (Faculty of Environmental Engineering, Sustainability Centre, Food Laboratory) S5 Educational Building (Faculty of Environmental Engineering, Sustainability Centre, Food Laboratory) S6 Laboratory Building (Faculty of Fundamental Sciences, Information Technology and Systems Centre, Academic Support Centre, etc.) S7 Laboratory Building Plytinė Campus (Plytinės str. 25, Vilnius): P1 or P Laboratory Building P2 Educational Building (Faculty of Electronics, Faculty of Mechanics, Faculty of Transport Engineering) P3 Educational Building Linkmenų Campus (Linkmenų str. 28, Vilnius): L1 Building (Institute of Building Materials) L2 Building (Road Research Institute) L3 Building L4 Building L5 Educational Building (Linkmenų fabrikas) L6 Educational Building (Antanas Gustaitis Aviation Institute) Old Town Campus (Trakų str. 1, Vilnius): T1 or T Educational Building (Faculty of Architecture) T2 Educational Building (Faculty of Creative Industries) T3 Educational Building T4 Educational Building T5 Educational Building Old abbreviations that might still appear in some contacts: SNR – Senamiesčio rūmai (Old Town Campus) SRK-I – Saulėtekio rūmų pirmas korpusas (Saulėtekis Campus First Building) SRK-II – Saulėtekio rūmų antras korpusas (Saulėtekis Campus Second Building) SRL – Saulėtekio rūmų laboratorinis korpusas (Saulėtekis Campus Laboratory Building) SRL-II – Saulėtekio rūmų antras laboratorinis korpusas (Saulėtekis Campus Second Laboratory Building) MAC – Saulėtekio centriniai rūmai (Saulėtekis Central Building) AGAI TLK – Antano Gustaičio Aviacijos instituto Treniruoklių ir laboratorijų korpusas (Antanas Gustaitis Aviation Institute Simulator and Laboratory Building). Other Addresses: Kyviškės Airfield: Lakūnų str. 7D, Kyviškės Sports and Art Centre: Saulėtekio al. 28, Vilnius Library: Saulėtekio al. 14, Vilnius Lithuanian Maritime Academy: I. Kanto str. 7, Klaipėda. Thematic Reading Rooms in Faculties: Architecture and Creative Sciences Reading Room (Trakų str. 1, T1, 1.15, Vilnius) Technology and Management Sciences Reading Room (Saulėtekio al. 11, S1, C03, Vilnius) Mechanics, Electronics, and Transport Sciences Reading Room (Plytinės str. 25, P2, 179, Vilnius) Maritime Sciences Reading Room (I. Kanto str. 7, Klaipėda)
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