Add 'AI Pioneers such as Yoshua Bengio'

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

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+<br>Artificial intelligence algorithms require large quantities of data. The methods utilized to obtain this data have raised concerns about personal privacy, monitoring and copyright.<br>
+<br>[AI](https://git.gocasts.ir)-powered devices and services, such as virtual assistants and IoT products, continuously collect individual details, raising concerns about invasive data event and unapproved gain access to by 3rd parties. The loss of privacy is further worsened by AI's ability to procedure and integrate large quantities of data, possibly leading to a security society where private activities are continuously kept track of and analyzed without appropriate safeguards or openness.<br>
+<br>Sensitive user information collected may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has taped millions of personal conversations and enabled short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread monitoring range from those who see it as a needed evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
+<br>[AI](https://ravadasolutions.com) designers argue that this is the only way to provide valuable applications and have actually established numerous methods that try to maintain 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 begun to see personal privacy in regards to fairness. Brian Christian wrote that professionals have rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
+<br>Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code