JOURNAL ARTICLE
Generative AI Won't Revolutionize Search -- Yet: There are major practical, technical, and legal challenges to overcome before tools like ChatGPT reach the scale, robustness, and reliability of Google.
Published In: Harvard Business Review Digital Articles, 2023. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Gurdeniz, Ege; Hosanagar, Kartik 3 of 3
Abstract
The article examines the current limitations and challenges of generative AI, such as ChatGPT, in revolutionizing online search compared to established engines like Google. It highlights that while generative AI can provide synthesized answers rather than lists of websites, issues including outdated training data, high computational costs, bias in training sources, lack of transparency, and legal concerns hinder its reliability and scalability. The authors suggest that generative AI is more likely to succeed in specialized "vertical search" applications, where models are trained on curated, domain-specific datasets and subject to rigorous oversight. Businesses considering vertical AI search tools should evaluate technical, legal, ethical, and practical factors to determine suitability.
Additional Information
- Source:Harvard Business Review Digital Articles. 2023/02, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- Accession Number:162300005
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