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

AI-powered devices and services, such as virtual assistants and IoT items, constantly collect individual details, raising issues about intrusive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is additional intensified by AI's capability to procedure and combine huge quantities of information, possibly causing a security society where specific activities are constantly monitored and analyzed without sufficient safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has actually taped millions of personal conversations and permitted temporary employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as an essential evil to those for whom it is plainly dishonest and an offense of the right to privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually established numerous strategies that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually started to view personal privacy in regards to fairness. Brian Christian wrote that professionals have pivoted "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, including in domains such as images or computer code