From 8636d68c5f5a5b87cb472dfcf542dd43e12eb054 Mon Sep 17 00:00:00 2001 From: Aracely Keiser Date: Tue, 18 Feb 2025 07:19:21 +0100 Subject: [PATCH] Add 'AI Pioneers such as Yoshua Bengio' --- AI-Pioneers-such-as-Yoshua-Bengio.md | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 AI-Pioneers-such-as-Yoshua-Bengio.md diff --git a/AI-Pioneers-such-as-Yoshua-Bengio.md b/AI-Pioneers-such-as-Yoshua-Bengio.md new file mode 100644 index 0000000..97c6bc9 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms require big amounts of data. The strategies used to obtain this information have raised concerns about privacy, monitoring and copyright.
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AI-powered gadgets and services, such as virtual assistants and IoT items, constantly gather individual details, raising concerns about intrusive data event and unauthorized gain access to by 3rd parties. The loss of personal privacy is further intensified by AI's ability to process and integrate large quantities of data, potentially resulting in a monitoring society where individual activities are constantly kept track of and analyzed without adequate safeguards or transparency.
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Sensitive user data collected might consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has actually tape-recorded millions of personal conversations and enabled short-term workers to listen to and transcribe some of them. [205] Opinions about this widespread security 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 privacy. [206] +
AI designers argue that this is the only method to deliver important applications and have actually established a number of strategies that try to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian composed that experts have actually pivoted "from the question of 'what they understand' to the question of 'what they're finishing with it'." [208] +
Generative [AI](https://truthbook.social) is typically trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code \ No newline at end of file