Artificial intelligence algorithms need big amounts of data. The methods used to obtain this data have raised concerns about personal privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect individual details, raising concerns about intrusive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's capability to process and integrate huge amounts of information, possibly causing a monitoring society where private activities are continuously kept track of and analyzed without adequate safeguards or openness.

Sensitive user information collected might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded countless personal conversations and allowed momentary employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only method to deliver important applications and have established numerous strategies that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in regards to fairness. Brian Christian wrote that experts have actually rotated "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code