Enthusiasm for brings a concern: users are willing to feed these tools all kinds of information, including confidential data. That eagerness runs ahead of a clear understanding of how learning from such information might ultimately play out around the world.
The risks extend to on social media. Creating a video or image and once required considerably more effort. Today, the tools available across the AI landscape make that deception much easier.
Yet the younger generation’s response can be less about dwelling on the danger than asking what can be built. Can someone develop a language model for personal use, create a chatbot or deploy an across different platforms? These questions put the emphasis on practical possibilities rather than fear alone.
The same instinct applies to fake news. If AI tools make misleading content easier to produce, the corresponding challenge is to build a counter-tool: something that could from different sources and map them across the world. The risk becomes a problem to solve, not simply a reason to retreat from the technology.
That is the optimistic view of younger users: they are solution-oriented, focused more on opportunity than on risk. The central question is how to approach cybersecurity as a space in which to build and contribute, rather than seeing it only through threats and fear.