The CEO of the American company “Open AI,” responsible for developing the AI conversation platform “Chat GP T,” believes that the texts created by AI systems will surpass the amount of texts created by humans in the future.
During a conference held by the major American semiconductor manufacturing company “Intel,” Sam Altman, the company’s president, stated that societies must be prepared in advance to deal with the negative consequences that may arise from the spread of AI technology.
Altman predicts that the harmful effects of AI in electoral processes will soon become apparent. These remarks came as he revealed the use of deepfake videos during the upcoming Indian elections, showcasing what he called “advanced forgery.”
It is crucial to address the risks related to the use of AI in cyber conflicts and biological weapons with great concern. According to Altman – as reported by the German news agency – AI will not just be a fantastic story, but a narrative where benefits outweigh the drawbacks.
With the practical applications of AI, it becomes possible to accelerate scientific research, develop treatments for diseases, and enhance educational levels, as affirmed by Altman. He adds that predicting the extent of progress AI technologies may bring in the future is currently a complex matter.
Simultaneously, it is essential for the state to play an active role in regulating modern technologies, especially during a period where AI models have not yet reached the desired level of strength.
Altman mentioned that it is necessary for companies like “Open AI” not to secretly develop AI smarter than humans and then release it to the world abruptly. Society and its institutions must have sufficient opportunity to gradually adapt to these changes.
It is worth noting that the platform named “Chat GP T,” launched last year and received great enthusiasm in the field of AI, is based on using a vast amount of data for training. It is capable of formulating texts with a linguistic level that closely mimics human-written texts, as well as writing code, compiling data, and summarizing it.
