Why can't operators control harassing calls? The AI ​​outbound call system becomes an accomplice of harassing calls!

News on September 2. Recently, experts revealed why operators cannot control harassing calls. This may be because they are wrongly blamed. In the first quarter of this year, operators intercepted 1 billion fraudulent calls and text messages. However, operators really can't control harassing calls. Relevant experts said that technically speaking, harassing calls are also evolving. For example, there is now an "AI telemarketing robot" system that simulates numbers, automatically dials in batches, AI simulates human voices, and automatically responds to calls; it can make thousands of calls every day. This makes it increasingly difficult to prevent interception. The reporter investigated a number of technology companies and found that the timbre, speech skills, number ownership and interception probability of AI outbound calls can be set separately. "The outbound call number pool is very large. Once a number is marked as 'marketing promotion' by a user, the number will no longer be used, and the dialogue technology will be adjusted at the same time." Ms. Zhu, a marketer at a technology company, told reporters. At the same time, some sales staff revealed that an outbound call robot can make thousands or even tens of thousands of calls a day. If customers have more needs, multiple outbound call robots can be used. With "unlimited" outbound calls, real voices that are difficult to distinguish from fake when connected, and unmarked system numbers, consumers are in a very passive position after the use of AI in harassing calls. Some people in the industry pointed out that the user numbers dialed by some AI outbound call systems were obtained from illegal use of crawler tools. This kind of behavior of stealing a large amount of personal information through data interfaces is egregious in nature. Therefore, regulatory authorities should severely crack down on such behavior, and companies are also responsible for preventing this behavior by strengthening their own data interface security and risk monitoring capabilities.

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