Artificial intelligence algorithms require big quantities of information. The strategies utilized to obtain this data 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 issues about invasive data event and unapproved gain access to by 3rd parties. The loss of personal privacy is further exacerbated by AI's ability to procedure and integrate huge quantities of information, potentially leading to a monitoring society where individual activities are continuously kept track of and examined without adequate safeguards or transparency.

Sensitive user data collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has taped countless personal conversations and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as a necessary evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI designers argue that this is the only way to deliver valuable applications and have developed numerous strategies that attempt to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have actually begun to see personal privacy in regards to fairness. Brian Christian wrote that professionals have actually pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code