DEJAN MIRCETIC DISCUSSES AI APPLICATIONS IN SERBIA
Dejan Mircetic, a scientific researcher at the Institute for Artificial Intelligence of Serbia, shares his insights on the intersection of scientific research and the commercialization of AI. He emphasizes how commercialization fuels technological progress and serves as a feedback loop for real-world challenges. Mircetic highlights the need to balance commercial benefits with ethical considerations to shape the future of AI in Central and Eastern Europe.
AI CAN ADDRESS INDUSTRY CHALLENGES IN CEE
The commercialization of AI can help modernize legacy systems, optimize supply chains, and predict maintenance needs in industries across Central and Eastern Europe. AI can also assist in precision farming to enhance yield and sustainability in agriculture. However, the adoption of AI in industry brings challenges such as ethical considerations, potential job displacement, and data privacy concerns.
ETHICAL IMPLICATIONS OF AI IN SERBIA
Mircetic shares his concerns about the potential misuse of predictive data, biased decision-making, and the lack of transparency in AI-driven decisions within time series forecasting and supply chain analytics. He emphasizes the need for clear communication and trust among multiple stakeholders to address the ethical implications of AI in his particular area of research.
AI TALENT POOL IN SERBIA: SKILLS AND GAPS
The region boasts a rich reservoir of skilled individuals in mathematics, engineering, and computer science, providing a strong foundation for the development of AI expertise. However, there remains a gap in specialized skills, hands-on industry experience, and interdisciplinary training in areas like time series forecasting, deep learning, natural language processing, and computer vision.
TOP AI SPECIALIZATIONS AND SKILLS IN SERBIA
Mircetic’s research highlights the demand for expertise in deep learning, machine learning model interpretability, and optimization techniques in Serbia. Skills in operations research are also crucial for addressing supply chain problems and enhancing efficiency.
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