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 privacy, monitoring and copyright.<br>
+<br>[AI](http://gitlab.dstsoft.net)-powered devices and services, such as virtual assistants and IoT items, continually gather personal details, raising issues about invasive data event and unapproved gain access to by third parties. The loss of privacy is more worsened by AI's ability to process and combine vast quantities of information, potentially leading to a surveillance society where specific activities are constantly monitored and analyzed without appropriate safeguards or openness.<br>
+<br>Sensitive user data collected may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has tape-recorded countless personal discussions and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety from those who see it as a needed evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
+<br>AI designers argue that this is the only way to provide valuable applications and have actually developed several methods that attempt to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to view privacy in terms of fairness. Brian Christian wrote that specialists have rotated "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
+<br>Generative [AI](https://one2train.net) is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer code