Artificial intelligence algorithms require large amounts of information. The strategies utilized to obtain this data have raised issues about privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect individual details, raising concerns about invasive information event and unapproved gain access to by 3rd parties. The loss of privacy is additional exacerbated by AI's ability to process and combine vast amounts of data, possibly resulting in a monitoring society where specific activities are constantly kept track of and analyzed without adequate safeguards or openness.

Sensitive user data collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has recorded millions of private discussions and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to provide important applications and have actually established several methods that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they know' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code