Artificial intelligence algorithms require large quantities of data. The techniques utilized to obtain this data have raised concerns about privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continuously gather personal details, raising concerns about invasive information event and unauthorized gain access to by 3rd parties. The loss of personal privacy is further exacerbated by AI's capability to process and integrate large quantities of data, possibly leading to a surveillance society where individual activities are continuously kept an eye on and examined without appropriate safeguards or transparency.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has actually recorded countless private conversations and allowed temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive security 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 personal privacy. [206]
AI designers argue that this is the only method to deliver valuable applications and have developed numerous techniques that attempt to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential 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 rotated "from the concern of 'what they understand' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code