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

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect personal details, raising concerns about intrusive data gathering and unauthorized gain access to by third parties. The loss of personal privacy is more exacerbated by AI's ability to procedure and integrate huge quantities of information, potentially causing a monitoring society where private activities are continuously kept track of and analyzed without appropriate safeguards or openness.

Sensitive user information gathered may include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has tape-recorded millions of private conversations and allowed short-term employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring 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 privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have established several methods that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually started to see personal privacy in regards to fairness. Brian Christian wrote that professionals have rotated "from the concern of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code