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

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising issues about intrusive information event and unapproved gain access to by 3rd parties. The loss of personal privacy is additional worsened by AI's capability to process and combine huge amounts of information, possibly leading to a surveillance society where individual activities are constantly kept an eye on and analyzed without appropriate safeguards or openness.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless private discussions and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this widespread security variety from those who see it as a required evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to provide important applications and have developed a number of techniques that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to see privacy in terms of fairness. Brian Christian wrote that experts have actually pivoted "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code