French Prosecutors Investigate X for Algorithmic Bias
French prosecutors have initiated an investigation into X, formerly known as Twitter, over potential algorithmic bias. This development comes ahead of a significant AI summit in Paris, which will gather global leaders, including U.S. Vice President JD Vance and Indian Prime Minister Narendra Modi, alongside executives from major tech companies like Alphabet and Microsoft. The Paris prosecutor’s office began the investigation after receiving a complaint from a lawmaker on January 12, alleging that biased algorithms on X might have distorted the functioning of an automated data processing system. X has not yet responded to requests for comment.
The investigation highlights growing international concerns regarding the influence of X, a platform owned by tech billionaire Elon Musk. Musk has been known to use X to support right-wing parties and causes in various countries, including Germany and Britain, raising fears about possible foreign interference. French centrist lawmaker Eric Bothorel, who brought the issue to the attention of the authorities, expressed his concerns on X and contacted the J3 cybercrime unit of the Paris prosecutors’ office, as reported by Franceinfo.
The J3 unit, which is spearheading the investigation, has a track record of tackling major digital platforms. Last year, it led the investigation into Telegram’s Pavel Durov, demonstrating its readiness to apply innovative legal approaches against platform owners. The unit is currently conducting initial technical checks on the allegations against X, as confirmed by the Paris public prosecutor’s office.
This case underscores the increasing scrutiny of digital platforms and their algorithms, particularly in the context of misinformation and political influence. The global community remains vigilant about the potential implications of algorithmic bias and the responsibilities of platform owners in maintaining fair and transparent operations.
Source: French prosecutors probe Musk’s X over alleged algorithmic bias
