Artificial intelligence algorithms need big amounts of data. The techniques utilized to obtain this data have actually raised concerns about personal privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, constantly collect personal details, raising issues about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's ability to procedure and integrate huge amounts of information, possibly leading to a security society where specific activities are constantly kept an eye on and examined without sufficient safeguards or openness.

Sensitive user data collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has tape-recorded millions of private conversations and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance variety from those who see it as a needed 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 developed several strategies that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have started to view personal privacy in regards to fairness. Brian Christian composed that experts have actually pivoted "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code