Data collection methods of generative artificial intelligence models spark controversy
Data scraping methods used in the development of generative artificial intelligence systems have brought about debates regarding the unauthorized use of human labor and copyright issues.
The collection of data from the internet for the training of generative artificial intelligence models is being criticized as the unauthorized use of human labor and creativity.
According to documents shared by Ars Technica and entered into court records, Brent Hecht, Director of Applied Sciences at Microsoft, described data scraping operations as the 'largest labor theft in human history.' The debates are centered on the allegation that artificial intelligence companies use the concept of 'fair use' to legitimize the mass collection of human-generated content.
Examinations conducted on Wikipedia data show that 65 percent of the platform's resource-consuming traffic is generated by bots. Critics argue that artificial intelligence systems prioritize corporate profit, devalue human creativity, and aim to replace human producers with automated systems.
Sources
- miamistudent.net · Link