Artificial intelligence algorithms require large amounts of data. The methods used to obtain this information have actually raised issues about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising concerns about invasive information gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is further worsened by AI's ability to process and combine large quantities of data, possibly causing a surveillance society where individual activities are constantly kept track of and evaluated without adequate safeguards or transparency.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded millions of private discussions and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent security range from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to deliver important applications and have actually developed numerous techniques that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to see privacy in regards to fairness. Brian Christian wrote that experts have rotated "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code