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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather individual details, raising issues about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is more intensified by AI's capability to procedure and combine large quantities of information, possibly leading to a monitoring society where individual activities are continuously monitored and examined without adequate safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has recorded countless private conversations and allowed short-term employees to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as a required 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 way to deliver important applications and have actually developed a number of methods that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian composed that specialists have pivoted "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code