Over the past decade, artificial intelligence (AI) technology has rapidly transformed daily life.

In particular, AI has brought revolutionary changes to the field of information retrieval, fundamentally altering how we search for and consume information. As of 2025, AI search has evolved from being a mere assistive tool to becoming a primary means of obtaining information. However, like any significant advancement, the rise of AI-powered search comes with its own set of challenges and concerns.

◇ The New Wave of AI Search

Today's AI search offers an experience that transcends traditional keyword-based searches. Major search engines like Google, Bing, and Naver employ sophisticated AI algorithms and natural language processing to accurately understand user intent and provide contextually relevant results.

For instance, OpenAI's ChatGPT integrates real-time web search capabilities, delivering answers alongside related website links. Google offers its AI Overview feature to summarize information, while platforms like Perplexity aggregate and analyze data from the internet and databases to improve the accuracy of their responses.

Moreover, AI search services are increasingly embracing multimodal capabilities—processing diverse content types such as text, images, videos, and audio. These innovations enhance user interactions by offering versatile solutions, such as searching for recipes using food photos or identifying songs through humming.

However, these groundbreaking advancements come with significant challenges. The most pressing concern lies in information distortion and bias.

AI search engines rely on extensive datasets for training, but these datasets are often imperfect. They may reflect societal biases or distorted perspectives, leading to skewed search results. For instance, when addressing contentious topics, AI may present one-sided viewpoints instead of a balanced perspective.

Even more troubling is the potential for commercial bias in search outcomes. AI search providers may partner with specific companies or brands, intentionally manipulating search results and responses to serve commercial interests. Examples include promoting specific products during price comparisons or selectively omitting negative reviews of certain items.

Such practices threaten to undermine consumer rights and disrupt fair market competition, raising serious ethical and regulatory concerns.

▲ Aravind Srinivas, co-CEO of Perplexity, delivers a presentation during a joint press conference on AI collaboration between SKT and Perplexity held at SKT Tower in Jung-gu, Seoul, on September 4, 2024. (Yonhap)

 

 

 

 

 

 

 

 

 

 

 

 

 

[Copyright ⓒ K-VIBE. All rights reserved. Unauthorized reproduction and redistribution are prohibited.]