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

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect individual details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's capability to process and combine vast quantities of information, potentially leading to a surveillance society where private activities are constantly monitored and analyzed without adequate safeguards or transparency.

Sensitive user information collected might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has actually recorded millions of personal conversations and enabled short-term employees to listen to and transcribe some of them. [205] Opinions about this widespread security range from those who see it as a necessary evil to those for whom it is plainly unethical and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver valuable applications and have actually established numerous techniques that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually started to view privacy in regards to fairness. Brian Christian composed that experts have pivoted "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code