After facing backlash from users, video conferencing platform Zoom has revised its terms of service to ensure that customer data will not be used for training artificial intelligence (AI) models. The initial update to its terms had sparked concerns that Zoom would have unlimited access to customer data for AI training, even if the customers hadn’t explicitly consented to it.
The revised terms now explicitly state that Zoom will not use any customer data, including audio, video, chat, screen-sharing, attachments, and other communications, for training its own or third-party AI models. The company’s earlier wording, which mentioned “without customer consent,” had raised concerns due to the vague nature of consent during online meetings, where participants often have little choice but to acknowledge terms presented by the meeting organizer.
Zoom’s section 10, which pertains to AI and consumer data, has undergone modifications in response to the user backlash. The updated version unequivocally states that customer data will not be utilized for AI training, eliminating any ambiguity surrounding consent.
The company’s revised terms were revealed in a blog post update. Zoom’s Chief Legal Officer, Aparna Bawa, emphasized that the modifications were aimed at addressing user concerns and ensuring clarity regarding data usage for AI training. Bawa reassured users that Zoom does not employ customer content like audio, video, chat, and attachments to train AI models, either by the company itself or by third parties.
The controversy surrounding the potential misuse of customer data for AI training had prompted a wave of criticism, leading Zoom to reevaluate and modify its terms of service. The platform’s decision to revise its terms reflects its commitment to addressing user feedback and maintaining transparency in its data practices.
Zoom’s move to update its terms of service aligns with growing public awareness and concerns about data privacy and the ethical use of personal information for AI development. As companies navigate the intricate landscape of data usage, it becomes essential to establish clear guidelines and boundaries to ensure user trust and compliance with privacy regulations.
