Experts in optical-electronic devices at leading technical universities say that artificial intelligence–based tools could become a standard in hiring processes within the next three to five years. They note that this shift would not replace people, but rather serve as a powerful tool to assess candidates, much like today’s growing emphasis on safe and responsible computer use.
The consensus among specialists is that AI will augment human work across many fields. It can streamline routine tasks, analyze large data sets, and help identify the most qualified applicants more efficiently. However, this change also requires careful governance to ensure fairness and transparency in selection processes.
With AI advancing, there is a parallel rise in concerns about fraud, misinformation, and manipulation. Analysts warn that the labor market may see new roles dedicated to distinguishing human-made content from AI-generated work. This could involve auditing outputs, verifying sources, and implementing strict content provenance practices.
Alongside these developments, the risk of manipulation via voice cloning or synthesized media is highlighted. Scammers can imitate a real voice from a video or audio message and use it to deceive individuals. Experts advise the public to exercise cautious digital habits, verify information from reputable outlets, and practice digital hygiene to protect personal data and minimize the spread of biometric information online.
There have also been striking anecdotes about neural networks being used in unconventional ways. In one case, a young Moscow resident reportedly used a chatbot to assist with dating, interacting with thousands of potential matches over the course of a year and reportedly receiving a marriage proposal from one user. While these stories demonstrate the broad capabilities of AI, they also underscore the ethical and social questions surrounding AI-driven interactions.
Another instance involved an AI program creating a piece of music and producing a related video, illustrating how neural networks can contribute to creative projects. These examples highlight both the imagination AI can unlock and the responsibilities that come with integrating AI into everyday life.