Who Is Learning – the Student or the AI?
Experts Behind the Microphone
- Dr. Dániel Necz LL.M (Harvard) — founding attorney of SimpLEGAL, a digital law firm; certified expert in data security and data protection; and specialist in artificial intelligence.
- Dr. Krisztián Bölcskei — data protection officer and privacy expert; a lawyer specialized in AI law and IT law.
👉 Listen to the full podcast here (available in Hungarian only):
Key Topics and Timestamps in the Podcast
00:00 – Introduction: AI & Education Focus
Krisztián and Daniel discuss the broad and complex relationship between AI and education.
00:26 – AI in Everyone’s Hands (Including Kids)
Generative AI tools are easily accessible on mobile; children often use them without any supervision.
01:05 – University Policies and Plagiarism Issues
Hungarian universities have begun regulating how much students may rely on AI for assignments and research; plagiarism and ethics become central concerns.
01:13 – “Help” vs. “Doing the Work for Us”
Translation, source discovery, and rephrasing can be ethical. Entire pages written by AI: not acceptable.
01:33 – The Risk of Hallucinations
AI sounds convincing but may offer fabricated citations or “pseudo‑facts” — everything must be checked.
02:54 – Math Tasks and the “Cat Attack” Phenomenon
Irrelevant sentences hidden in word problems can confuse models; AI often incorporates information that humans would instantly filter out.
03:25 – AI as a Learning Aid
Language learning, pronunciation, practice: AI‑based apps reduce feelings of embarrassment and provide constant feedback.
04:55 – AI from Kindergarten: Playful Assessment and Ethics
Automated skill assessments through playful tasks raise both ethical and data protection questions.
05:26 – AI as the “New Normal” in Learning
In the future, we will learn alongside AI at every age; banning it isn’t realistic—safe use must be taught.
06:26 – Research and Source Orientation
AI can effectively guide users toward topics, keywords, and sources — but professional verification remains essential.
06:56 – Personalized Learning (Differentiation)
AI can help each learner progress at their own pace, while teachers take on a curatorial and supervisory role.
08:09 – Special Data Protection Focus for Children
Handling minors’ data is particularly sensitive; clear communication with parents and students is essential.
09:00 – Social Adoption and “Overtrust”
Rapid adoption leads some people to overestimate AI’s capabilities; blind trust is dangerous.
10:02 – Future of Schooling: Machines Take Notes, Teachers Mentor?
Remote learning, AI note‑taking, hybrid models — while ensuring that socialization remains protected.
11:35 – Do We Still Need Education?
Yes: besides knowledge transfer, developing critical thinking, ethics, and collaboration skills is irreplaceable.
12:33 – Resource Management and Teacher Support
Task generation, differentiation support — AI accelerates processes, but teachers make decisions and personalize learning.
13:03 – Conclusion: Not to “Dumb Us Down,” but to Prepare Us
The goal is digital literacy and conscious AI use — not full dependency on algorithms.
Why You Should Listen to This Episode
This episode helps you understand:
- Where the ethical boundaries of AI use lie in schools and universities.
- How AI can be a real support tool for learning — without becoming a tool for plagiarism.
- Why critical thinking, child data protection, and transparency are crucial.
👉 Listen now and think about how you can integrate AI responsibly into education!