Artificial intelligence algorithms need big amounts of information. The strategies used to obtain this information have raised concerns about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly collect personal details, raising concerns about intrusive information gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is more exacerbated by AI's ability to procedure and combine vast amounts of data, potentially leading to a monitoring society where private activities are continuously kept an eye on and examined without sufficient safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has recorded countless personal discussions and enabled temporary 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 a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to deliver important applications and have established several techniques that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have actually started to see personal privacy in terms of fairness. Brian Christian composed that experts have actually rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code