Add 'AI Pioneers such as Yoshua Bengio'

AI-Pioneers-such-as-Yoshua-Bengio.md

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+<br>Artificial intelligence algorithms need big amounts of data. The methods utilized to obtain this information have raised issues about personal privacy, security and copyright.<br>
+<br>AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather individual details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional intensified by AI's ability to procedure and integrate huge quantities of information, potentially resulting in a security society where specific activities are constantly monitored and evaluated without appropriate safeguards or transparency.<br>
+<br>Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually tape-recorded countless private conversations and enabled short-term employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as an essential evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
+<br>[AI](https://wiki.monnaie-libre.fr) designers argue that this is the only method to deliver valuable applications and have established a number of strategies that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to see personal privacy in terms of fairness. Brian Christian composed that specialists have pivoted "from the question of 'what they understand' to the question of 'what they're doing with it'." [208]
+<br>Generative AI is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code