Artificial intelligence algorithms require big amounts of data. The methods utilized to obtain this data have actually raised concerns about privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly gather personal details, raising concerns about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's capability to procedure and integrate large quantities of information, possibly resulting in a surveillance society where private activities are constantly kept track of and analyzed without appropriate safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has tape-recorded millions of personal conversations and permitted temporary employees to listen to and transcribe a few of them. [205] Opinions about this widespread security range from those who see it as a needed evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have actually established several strategies that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to see personal privacy in terms of fairness. Brian Christian composed that experts have actually pivoted "from the question of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code