AI Summit at Next Block Expo – a look at the threats and opportunities that AI brings

Next Block Expo is an event where the topic of AI simply had to appear and be heard – because the panel “Who Controls AI? Law, Regulations and Ethics in the Era of Autonomous Systems” was a conversation that the industry needs more than it would like to admit.

Dota Szymborska, Sonia Staniek, Karolina Wilamowska, Aleksandra Tomaszewska and Aneta Sotoła sat at the table – five experts who, instead of serving another portion of hype, focused on something much more valuable: a substantive, critical discussion on how to wisely and responsibly implement solutions based on language models.

Poland at the end of AI implementation? The data speaks for itself

One of the strongest highlights of the speech was the topic raised by Dota Szymborska – namely research that places Poland alarmingly low in terms of the implementation of AI in business. And not on a global scale, but in the context of the European Union itself. This is an alarm signal that Polish business should not underestimate.

Szymborska also drew attention to a certain paradox of common consciousness. Although artificial intelligence is something completely new for many companies – the symbolic beginning of the generative revolution is November 30, 2022, i.e. the premiere of ChatGPT 3.5 – the technology itself has been developed for decades. So we are not dealing with something that was created overnight. We are dealing with technology that has just emerged from the laboratory into the mainstream.

FOMO is a bad advisor – especially in business

And here we come to the point: throwing yourself at AI with FOMO strapped to your back is a strategy that can hurt your pocket and much more. Implementations undertaken in a hurry, without understanding the mechanisms of operation of language models, are not only ineffective from a business perspective. First of all, they are dangerous.

The experts particularly emphasized one specific mistake that companies make: including confidential company data in public LLMs. It seems comfortable. It often ends with a serious data security breach – including legal consequences.

The Next Block Expo panel wasn’t just another ode to the potential of AI. It was something rarer and more valuable – a reminder that technology is a tool, not an oracle. And that before we ask what AI can do for us, it is worth asking: are we doing it safely?