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

AI-powered devices and services, such as virtual assistants and IoT items, continuously collect individual details, raising issues about intrusive information gathering and unauthorized gain access to by third celebrations. The loss of personal privacy is further exacerbated by AI's capability to procedure and integrate large amounts of information, potentially causing a surveillance society where private activities are constantly kept an eye on and examined without adequate safeguards or openness.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually recorded countless personal discussions and enabled momentary employees to listen to and transcribe some of them. [205] Opinions about this prevalent security variety from those who see it as a needed evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have actually developed several strategies that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have begun to view personal privacy in regards to fairness. Brian Christian composed that experts have pivoted "from the question of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code