Google has reported that spyware was covertly installed on smartphones in Italy and Kazakhstan, facilitated by mobile internet service providers who disrupted users’ services. This disruption led users to receive deceptive messages offering solutions that ultimately tricked them into downloading malicious software.
As the use of artificial intelligence (AI) in communication continues to surge, with over 6.7 billion AI-generated emails being sent daily, distinguishing between human and machine-generated texts has become increasingly challenging. Recent observations have shown that approximately 70% of partnership communications now originate from AI, raising concerns about the authenticity and effectiveness of such messages.
In response to this growing trend, the company Linkee has outlined key indicators to help individuals and organizations recognize AI-generated emails. By identifying these red flags, users can enhance their email writing skills and reduce the risk of having their messages categorized as spam.
One significant indicator is the use of overly formal greetings. Phrases like “Dear Sir or Madam” or “I hope this message finds you well” have become synonymous with AI-generated texts, as they are utilized 42% more frequently than in human communications. While AI can mimic these polite formalities, it often fails to convey genuine sincerity, which is increasingly valued in modern correspondence. Personalizing greetings by using actual names and getting to the point is a recommended approach.
Another characteristic of AI-generated emails is the excessive use of transition words. Language models tend to over-explain, embedding numerous connectors such as “moreover,” “furthermore,” and “additionally.” While these words are intended to enhance clarity, their overuse can give the impression of robotic writing, detracting from the natural flow of communication. Experts advise allowing ideas to connect organically without overtly announcing every transition.
Maria Harutyunyan, co-founder and head of SEO at Loopex Digital, suggests a more effective method for utilizing AI in email composition. By feeding AI tools with personal writing samples, users can help the technology learn their unique voice, reducing the likelihood of generic phrasing. Harutyunyan emphasizes the importance of reviewing and editing any AI-generated content before sending it, as this can significantly improve the message’s authenticity.
Additionally, the use of overly scripted supportive language is another hallmark of AI-generated texts. Common phrases such as “kindly let me know” or “don’t hesitate to reach out” are flagged by experts as being used 287% more often by language models than by actual human writers. This scripted approach can undermine the perceived authenticity of the communication, as recipients may recognize these phrases as indicators of automated writing.
As the prevalence of AI in professional communication continues to rise, both individuals and organizations must navigate the complexities it introduces. By becoming familiar with the characteristics of AI-generated emails, users can better tailor their communications to ensure they resonate more effectively with recipients. In this evolving landscape, maintaining a balance between efficiency and authenticity will be crucial for successful engagement in both personal and professional settings.
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