Artificial intelligence algorithms need big quantities of information. The methods utilized to obtain this data have raised concerns about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously collect individual details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is more intensified by AI's capability to procedure and integrate vast quantities of data, possibly leading to a surveillance society where specific activities are constantly 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 example, in order to develop speech recognition algorithms, Amazon has tape-recorded millions of private conversations and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread security range from those who see it as an essential evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to deliver valuable applications and have actually developed numerous strategies that try to maintain 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 actually started to see privacy in regards to fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they know' to the question 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 system code