Artificial intelligence algorithms require large quantities of information. The techniques used to obtain this information have raised issues about personal privacy, security and copyright.
AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about invasive data gathering and unapproved gain access to by third parties. The loss of personal privacy is further intensified by AI's ability to process and combine large amounts of information, possibly leading to a monitoring society where private activities are constantly kept track of and evaluated without adequate safeguards or transparency.
Sensitive user information gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to build speech recognition algorithms, Amazon has recorded countless personal discussions and enabled momentary workers to listen to and transcribe some of them. [205] Opinions about this widespread surveillance variety from those who see it as an essential 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 method to provide valuable applications and have actually developed several methods that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that experts have actually rotated "from the concern of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code
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AI Pioneers such as Yoshua Bengio
Colette Tardent edited this page 1 month ago