Artificial intelligence (AI) is now present almost everywhere.
ChatGPT, Copilot and other systems help streamline work, speed up processes and promise a real competitive edge. But what kinds of pitfalls and risks should we be aware of if we use AI without proper planning? This is exactly what dr. Dániel Necz LL.M. (Harvard) and dr. Krisztián Bölcskei discuss in the latest podcast episode.
If you’re interested in how to avoid the most common mistakes — and why simply “starting to use AI” is far from enough — make sure to listen to this episode!
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 your company, it’s worth thinking about a conscious, well‑planned implementation — and now might be the perfect time to start.
Key Topics and Timestamps in the Podcast
00:00 – Introduction
The experts introduce themselves and set the stage: AI and its hidden pitfalls.
02:00 – Why simply “using AI” isn’t enough
Why AI implementation is a complex issue: IT, legal and organizational considerations.
02:37 – What is AI?
A brief definition: systems, algorithms and models capable of self‑learning.
03:24 – Types of AI systems
General‑purpose systems vs. specialized solutions (e.g. recruitment, diagnostics).
04:18 – The biggest pitfall: blind trust
Why it’s dangerous to accept AI outputs without verification. Legal examples and misinformation risks.
06:06 – Lack of regulation
Why internal policies and a thoughtful selection of AI tools are essential.
07:36 – Strategic planning
Why you must assess from the very beginning whether you really need AI — and how it fits into your business goals.
08:21 – Selecting the right AI tool
Security, data handling, training methods, paid vs. free versions, and where your data is stored (EU, US, China).
10:13 – Data protection and legal issues
GDPR, data transfers, intellectual property, employment law and ethical considerations.
12:01 – Competitive advantage vs. safety
Why free tools seem tempting — and the risks they can introduce.
13:10 – Implementation steps
Defining goals, impact assessment, internal policies, employee information.
18:01 – Lack of training
Why many AI projects fail: insufficient awareness and training for employees.
20:14 – Compliance and monitoring
How to ensure employees use AI in line with company rules. New technologies and oversight solutions.
Why you should listen
This episode helps you understand:
- Why it’s not enough to “just start using” AI
- How you can avoid the most common pitfalls
- Why strategy, policy and training are absolutely essential
Thank you for tuning in! See you in the next episode — stay with us!
