Artificial intelligence algorithms require large quantities of information. The methods used to obtain this data have actually raised concerns about personal privacy, monitoring and copyright.
AI-powered devices and services, such as virtual assistants and IoT items, continually gather individual details, raising concerns about invasive information event and unauthorized gain access to by third parties. The loss of privacy is additional intensified by AI's capability to procedure and integrate vast amounts of data, potentially causing a security society where private activities are continuously monitored and examined without appropriate safeguards or openness.
Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has recorded millions of personal conversations and enabled short-lived workers to listen to and transcribe a few of them. [205] Opinions about this widespread security variety from those who see it as an essential evil to those for whom it is plainly unethical and an infraction of the right to privacy. [206]
AI designers argue that this is the only way to deliver important applications and have developed a number of strategies that attempt to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have started to view privacy in terms of fairness. Brian Christian wrote that experts have rotated "from the question of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code
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AI Pioneers such as Yoshua Bengio
dorotheabussel edited this page 2025-04-03 20:24:22 +03:00