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

AI-powered devices and services, such as virtual assistants and IoT items, continually collect individual details, raising issues about intrusive data gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more intensified by AI's capability to procedure and integrate vast amounts of data, possibly resulting in a surveillance society where private activities are continuously monitored and evaluated without adequate safeguards or openness.

Sensitive user data gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech algorithms, Amazon has recorded countless personal discussions and enabled temporary employees to listen to and transcribe some of them. [205] Opinions about this prevalent security 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 developers argue that this is the only way to provide valuable applications and have developed numerous methods that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that experts have actually rotated "from the concern of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code