Artificial intelligence algorithms require big quantities of data. The methods used to obtain this data have raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about invasive data event and unauthorized gain access to by 3rd parties. The loss of privacy is further worsened by AI's ability to process and combine large amounts of data, possibly resulting in a surveillance society where individual activities are constantly kept track of and evaluated without adequate safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has actually recorded millions of personal discussions and permitted momentary employees to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI designers argue that this is the only method to provide important applications and have developed a number of strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian composed that experts have rotated "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code