Artificial intelligence algorithms require large amounts of data. The techniques used to obtain this information have raised concerns about personal privacy, security and copyright.

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

Sensitive user data gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has recorded countless personal conversations and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this prevalent 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 personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have actually developed a number of strategies that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian composed that professionals have pivoted "from the concern of 'what they know' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code