Dmytro Sholomko, co-founder of Ukraine's Media Alliance for AI Work, has warned that artificial intelligence regulation in Ukraine will fail to prevent AI usage if rules become excessively complex or expensive to follow.
Writing in an opinion piece published by Ukrainian news outlet LIGA.net on Tuesday, August 25, 2026, Sholomko stated that current national debates around artificial intelligence focus too narrowly on rules of usage. He noted that existing discussions center on defining permitted actions, restrictions, content labeling requirements, and legal responsibility for algorithmic errors.
While acknowledging that establishing usage guidelines is a necessary conversation, Sholomko argued that focusing solely on restrictions is insufficient to guarantee safety. He warned that if the compliance model imposes heavy financial or technical burdens, organizations will continue using artificial intelligence systems regardless of official limits.
Technical choices and market impact
Sholomko emphasized that technical decisions made today will shape the rules governing entire commercial markets in the future. He identified data management protocols, infrastructure locations, and accountability frameworks for algorithm results as critical choices that require careful long-term planning.
Artificial intelligence technologies have rapidly spread across nearly every business sector, transforming traditional work methods, according to Sholomko. He described the current shift as one of the largest technological transformations in recent decades, noting that it simultaneously affects manufacturing, education, media, public administration, creative industries, and daily life.
Background on Ukraine artificial intelligence policy
Ukraine has emerged as a significant technology hub in Eastern Europe, with government agencies and private firms exploring artificial intelligence tools for civic and industrial applications. Industry groups such as the Media Alliance for AI Work focus on managing the integration of automated tools while addressing technical standards and content verification.
Sholomko concluded that the massive scale of the ongoing technology shift makes the details of implementation critical, requiring policymakers to approach artificial intelligence development with heightened responsibility.
