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

AI-powered gadgets and services, such as virtual assistants and IoT items, continually gather personal details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further worsened by AI's capability to procedure and combine large amounts of data, potentially causing a surveillance society where individual activities are continuously kept track of and analyzed without appropriate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech acknowledgment algorithms, Amazon has actually tape-recorded millions of private discussions and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread security variety from those who see it as a needed evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI developers argue that this is the only method to deliver important applications and have established numerous techniques that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to view privacy in terms of fairness. Brian Christian composed that professionals have actually pivoted "from the concern of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code