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	<title>Governence &#8211; Looks Like New</title>
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		<title>Are you being trained?</title>
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					<description><![CDATA[AI is advancing at lightning speed—so fast that questions of ownership and data use often get left behind. What control do we really have over our data in these massive language models? And how can we rethink governance for AI? On this episode of Looks Like New, MEDLab fellow Andy DiLallo speaks with Berlin-based artist, [&#8230;]<img src="https://analytics.medlab.host/piwik.php?idsite=7&amp;rec=1&amp;url=https%3A%2F%2Flookslikenew.net%2Fpodcast%2Fare-you-being-trained%2F&amp;action_name=Are+you+being+trained%3F&amp;urlref=https%3A%2F%2Flookslikenew.net%2Ffeed%2F" style="border:0;width:0;height:0" width="0" height="0" alt="" />]]></description>
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<p>AI is advancing at lightning speed—so fast that questions of ownership and data use often get left behind. What control do we really have over our data in these massive language models? And how can we rethink governance for AI?</p>



<p>On this episode of <em>Looks Like New</em>, MEDLab fellow Andy DiLallo speaks with Berlin-based artist, musician, and technologist Mat Dryhurst. Known for his work on collective ownership and digital governance. We hear how DIY music culture shaped Mat’s approach to technology, the importance of transparency in AI, and the role institutions can play in building ethical, trustworthy AI frameworks.</p>



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