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<oembed><version>1.0</version><provider_name>Stanford AI Symposium</provider_name><provider_url>https://conferences.law.stanford.edu/aisymposium</provider_url><author_name>Monika Peschke Suhr</author_name><author_url>https://conferences.law.stanford.edu/aisymposium/author/peschke/</author_url><title>Risk Factors - Stanford AI Symposium</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="qTSbz2yLDI"&gt;&lt;a href="https://conferences.law.stanford.edu/aisymposium/sessions/session_3/"&gt;Risk Factors&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://conferences.law.stanford.edu/aisymposium/sessions/session_3/embed/#?secret=qTSbz2yLDI" width="600" height="338" title="&#x201C;Risk Factors&#x201D; &#x2014; Stanford AI Symposium" data-secret="qTSbz2yLDI" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>This session will explore the legal, operational, and reputational risks associated with designing and deploying AI, and consider how those risks impact real-world decision-making. Instructors will address the potential pitfalls of AI algorithms, as well as the possibility of errors and hallucinations. Instructors will also discuss intellectual property, trade secret, privacy, and data protection concerns, and explore the potential societal consequences of developing and training foundation models. Finally, instructors will address recent litigation trends and legal challenges arising from the rapid development of this emerging technology.</description></oembed>
