HR and AI: How AI Is Reshaping Recruitment and the Workplace

Artificial intelligence (AI) is not only transforming the technology sector – it is now playing an increasingly significant role in HR as well. Recruitment, pre‑screening, performance evaluation, and even personalized training: AI now appears at many stages of the employee lifecycle. But what opportunities and risks does AI bring into HR, and how can we use it responsibly? These are the questions discussed by Dániel and Krisztián (Dr. Dániel Necz LL.M. (Harvard) and Dr. Krisztián Bölcskei) in the latest podcast episode.

If you’re interested in how AI is reshaping HR processes and what legal and ethical issues arise along the way, this episode is for you!

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):

If you’re using AI in HR, make sure you consider regulation and transparency – now might be exactly the right time!

00:00 – Introduction
Topic: The connection between HR and AI – why is it so relevant today?

00:18 – AI in recruitment
How do HR professionals use AI? CV processing, pre‑screening, and analysing cover letters.

01:55 – AI vs. AI
Applicants use AI to write their cover letters – and HR uses AI to screen them. And now AI detectors are entering the scene as well.

02:33 – Legal and ethical questions
Why must applicants be informed about AI usage? Automated decisions and individual rights.

03:59 – Narrow AI vs. complex systems
Why does it matter what type of AI we use? Keyword matching vs. natural language processing.

05:00 – Applicants’ rights
The right to human intervention and the right to contest decisions – where is the boundary of automated decision‑making?

07:43 – Video interviews and real‑time analysis
AI systems capable of analysing behaviour, questioning patterns and biometric data – why is data protection critical here?

09:17 – Foreign systems and European regulations
Why can’t U.S. solutions be implemented in Europe one‑to‑one?

09:36 – Building your own database
Why is creating your own training dataset risky? Discrimination and data protection concerns.

11:35 – Big Data and diversity
Why isn’t a large amount of data enough? The importance of credibility and representativeness.

12:11 – AI in performance evaluation
Supportive tools vs. surveillance – where is the compliance line?

13:44 – Training and AI
Personalised learning and skills development – the positive side of AI in HR.

This episode helps you understand:

• How AI can be used in recruitment and HR processes
• What legal and ethical issues arise
• Why transparency and education are essential