Artificial intelligence algorithms need large quantities of information. The techniques used to obtain this data have actually raised issues about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually gather personal details, raising issues about invasive data gathering and unauthorized gain access to by 3rd parties. The loss of personal privacy is more exacerbated by AI's capability to procedure and integrate vast quantities of information, possibly causing a monitoring society where individual activities are constantly kept an eye on and examined without adequate safeguards or openness.

Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to build speech acknowledgment algorithms, Amazon has recorded countless personal discussions and permitted short-term workers to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI designers argue that this is the only way to deliver important applications and have developed a number of methods that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian composed that experts have pivoted "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code