Training “Kaip dirbtinis intelektas mokosi mąstyti: nuo pavyzdžio iki sprendimo” (How AI Learns to Think: From Example to Decision)

On 14 November at 18:00, the Center of Excellence SustAInLivWork invites you to an EU-funded training designed for professionals from various fields who want to understand how artificial intelligence learns from human-provided examples, mistakes, and real data to make decisions.

Please note: The training will be conducted in Lithuanian.

There is a lot of public discussion about the progress and autonomy of artificial intelligence (AI). This training will reveal what actually happens when we provide an AI system with thousands of examples and ask it to “understand” them.

The session will help participants understand how most modern AI algorithms work and why data quality and the human role remain crucial success factors. Participants will also learn to recognize when AI truly generates solutions and when it merely reflects our own cognitive biases.

The training will be led by Dr Agnė Paulauskaitė-Tarasevičienė, Director of the AI Competence Center SustAInLivWork and Professor at Kaunas University of Technology (KTU). She has over 20 years of experience in machine learning algorithms, image processing technologies, and intelligent control systems.

She is one of four Lithuanian researchers participating in UNESCO’s process for developing and evaluating AI ethics recommendations. For more than a decade, Professor Paulauskaitė-Tarasevičienė has been a research and study mentor, co-author and reviewer of scientific publications for international publishers. She also led the development of Lithuania’s first AI study program, Artificial Intelligence, which successfully launched in September 2020.

Professor Dr Agnė Paulauskaitė-Tarasevičienė
Professor Dr Agnė Paulauskaitė-Tarasevičienė

The training will take place online via the TEAMS platform. Registered participants will receive a joining link by email one day before the event.

Co-funded by the European Union logo
The project is co-funded under the European Union’s Horizon Europe programme under Grant Agreement No. 101059903 and under the European Union Funds’ Investments 2021–2027 (project No. 10-042-P-0001).