Some publicly accessible websites have policies prohibiting data collection or web scraping for training AI models, prompting concerns about the potential misuse of data without explicit consent, particularly under regulations such as GDPR.
The legal implications of using public data for training AI systems remain unclear. The ambiguity surrounding the fair use doctrine in this context has sparked lawsuits and calls for stricter regulations governing AI companies’ data collection and usage. Additionally, there are concerns about ensuring the responsible processing of data to prevent dangerous failures within AI systems.
Those responsible for sifting through vast pools of training data often face grueling work hours and extreme conditions.
Gannett, the largest newspaper publisher in the United States, has filed a lawsuit against Google and its parent company, Alphabet, alleging that the search giant’s advancements in AI technology have granted it a monopoly over the digital ad market.
Google’s AI search beta has been criticized as a “plagiarism engine” and accused of depriving websites of traffic.
