The Higher Attestation Commission will implement artificial intelligence for data analysis
The High Anti-Corruption Court uses artificial intelligence to process large amounts of data, but does not rely on it when rendering judicial decisions.
This was reported by the court’s chief of staff, Bohdan Kryklyvenko.
According to him, the principles for using AI in court were approved back in 2024, but the rapid development of technology requires constant updates to these approaches.
“The implementation of AI is an integral part of the court’s digitalization, as outlined in the High Anti-Corruption Court’s strategy for 2026–2028,” Kryklyvenko noted.
The court is already testing transcription tools that convert audio recordings of court hearings into text, which significantly speeds up work with case materials.
At the same time, one of the main challenges remains striking a balance between implementing innovations and ensuring cybersecurity.
“Artificial intelligence cannot be used to make judicial decisions, but it is an indispensable tool for analyzing large datasets from open sources,” he emphasized.
It is worth noting that the adoption of artificial intelligence in large companies follows a similar pattern: 20% of employees actively use AI, 20% categorically refuse to use it, and 60% use the tools only partially. Google falls roughly in the middle of this broad spectrum.
A study published in JAMA Network Open showed that AI models from OpenAI, Google, and DeepSeek often produce errors due to insufficient data when making an initial diagnosis. An analysis of 21 models revealed that the error rate in differential diagnosis exceeds 80%.
