Video Archive – The Conference by Media Evolution theconference@mediaevolution.se https://videos.theconference.se Media Evolution is a membership organization that help media industries to innovate and grow. The videos in this podcast are generated at our annual conference The Conference and lectures we arrange throughout the year. http://www.mediaevolution.se en-us Visualplatform http://blogs.law.harvard.edu/tech/rss Video Archive – The Conference by Media Evolution Videos generated by Media Evolution Media Evolution is a membership organization that help media industries to innovate and grow. The videos in this podcast are generated at our annual conference The Conference and lectures we arrange throughout the year. http://www.mediaevolution.se media, music, games, publishing, future, social, tv, film, 334841 episodic no https://videos.theconference.se/files/rv0.0/sitelogo.gif https://videos.theconference.se http://videos.theconference.se/qa-late-stage-digitalization <p>The Q&amp;A from the session Late-Stage Digitalization with Somya Joshi and Trudy Painter</p><p><a href="http://videos.theconference.se/qa-late-stage-digitalization"><img src="http://videos.theconference.se/64968561/104011490/91edf1947362b4514562ede61aea02bc/standard/download-9-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/104011490 Tue, 03 Sep 2024 09:26:05 GMT Q&A Late-Stage Digitalization The QA from the session Late-Stage Digitalization with Somya Joshi and Trudy Painter The QA from the session Late-Stage Digitalization with Somya Joshi and Trudy Painter Video Archive – The Conference by Media Evolution 21:37 <p>The Q&amp;A from the session Late-Stage Digitalization with Somya Joshi and Trudy Painter</p><p><a href="http://videos.theconference.se/qa-late-stage-digitalization"><img src="http://videos.theconference.se/64968561/104011490/91edf1947362b4514562ede61aea02bc/standard/download-9-thumbnail.jpg" width="75" height=""/></a></p> 2024 late-stage digitalization http://videos.theconference.se/somya-joshi-resource-frontiers-of <p><span><p><b><i>“Could AI ever be a common pool of resources?”</i></b></p><br><p>Researcher Somya Joshi makes a compelling observation: the same extractive narratives of 19th century industrialisation are being reproduced today in our venture to conquer the AI ecosystem. Somya highlights how major technological shifts such as the Green Revolution relied on the premise that automation would always lead to progress, and the myth around this pattern persists in the case of AI.</p><br><p>Somya reminds us that following the major revolutions seen in history, power eventually remained in the hands of the elites. In parallel, other authors have discussed the “unequal geographies and distributive effects” in the extraction and manufacturing stages involved with progress and technology. The footprint of labour has traditionally been made invisible in the process, and the same now applies to the footprint of materials such as water, copper and silicon, mainly sourced in the Global South.&nbsp;</p><br><p>Somya calls for the normative act of imagining equity to ensure a sustainable and more just future by seeing AI as a common resource for global use.</p><div><span><br></span></div></span></p><p><a href="http://videos.theconference.se/somya-joshi-resource-frontiers-of"><img src="http://videos.theconference.se/64968575/104011494/6998963eca5c2b59d7fad3b33a2b2d7a/standard/download-10-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/104011494 Tue, 03 Sep 2024 09:26:05 GMT Somya Joshi – Resource Frontiers of AI “Could AI ever be a common pool of resources?”Researcher Somya Joshi makes a compelling observation: the same extractive narratives of 19th century industrialisation are being reproduced today in our venture to conquer the AI ecosystem. Somya highlights how major technological shifts such as the Green Revolution relied on the premise that automation would always lead to progress, and the myth around this pattern persists in the case of AI.Somya reminds us that following the major revolutions seen in history, power eventually remained in the hands of the elites. In parallel, other authors have discussed the “unequal geographies and distributive effects” in the extraction and manufacturing stages involved with progress and technology. The footprint of labour has traditionally been made invisible in the process, and the same now applies to the footprint of materials such as water, copper and silicon, mainly sourced in the Global South.Somya calls for the normative act of imagining equity to ensure a sustainable and more just future by seeing AI as a common resource for global use. “Could AI ever be a common pool of resources?”Researcher Somya Joshi makes a compelling observation: the same extractive narratives of 19th century industrialisation are being reproduced today in our venture to conquer the AI ecosystem. Somya... Video Archive – The Conference by Media Evolution 09:09 <p><span><p><b><i>“Could AI ever be a common pool of resources?”</i></b></p><br><p>Researcher Somya Joshi makes a compelling observation: the same extractive narratives of 19th century industrialisation are being reproduced today in our venture to conquer the AI ecosystem. Somya highlights how major technological shifts such as the Green Revolution relied on the premise that automation would always lead to progress, and the myth around this pattern persists in the case of AI.</p><br><p>Somya reminds us that following the major revolutions seen in history, power eventually remained in the hands of the elites. In parallel, other authors have discussed the “unequal geographies and distributive effects” in the extraction and manufacturing stages involved with progress and technology. The footprint of labour has traditionally been made invisible in the process, and the same now applies to the footprint of materials such as water, copper and silicon, mainly sourced in the Global South.&nbsp;</p><br><p>Somya calls for the normative act of imagining equity to ensure a sustainable and more just future by seeing AI as a common resource for global use.</p><div><span><br></span></div></span></p><p><a href="http://videos.theconference.se/somya-joshi-resource-frontiers-of"><img src="http://videos.theconference.se/64968575/104011494/6998963eca5c2b59d7fad3b33a2b2d7a/standard/download-10-thumbnail.jpg" width="75" height=""/></a></p> 2024 ai late-stage digitalization http://videos.theconference.se/trudy-painter-algorithms-behind-ai <p><span><p><b><i>“It’s very fun to make AI tools magical. [...] But when you make AI feel airy, you remove the possibility for people to ask questions. So it’s better to make it approachable.”</i></b></p><br><p>Trudy is an active technology enthusiast who is convinced that AI tools can be as useful as electricity. By providing real-life examples and related metaphors of ceramic mugs and paper cups, the recent MIT graduate firmly believes that everyone can - and perhaps should - be able to understand AI tools and how the algorithm works “under the hood” in order to be better informed when making decisions around its usage and implementation in organisations.</p><br><p>Trudy conveys a clear and easy-to-follow explanation of how AI generation differs from the everyday search on our internet browsers. While search engines retrieve information from existing websites that the algorithm judges relevant, AI generation patches up an artifact which replicates human speech and predicts “the most likely next word” based on patterns observed in human interaction. AI literacy is hence of utmost relevance now that AI tools have reached their most capable and accessible stage yet.</p><div><br></div></span></p><p><a href="http://videos.theconference.se/trudy-painter-algorithms-behind-ai"><img src="http://videos.theconference.se/64968580/104011601/53026482ac5f20c8503912a562f29ab3/standard/download-12-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/104011601 Tue, 03 Sep 2024 09:26:05 GMT Trudy Painter – Algorithms behind AI - A case for technical literacy in AI “It’s very fun to make AI tools magical. [...] But when you make AI feel airy, you remove the possibility for people to ask questions. So it’s better to make it approachable.”Trudy is an active technology enthusiast who is convinced that AI tools can be as useful as electricity. By providing real-life examples and related metaphors of ceramic mugs and paper cups, the recent MIT graduate firmly believes that everyone can - and perhaps should - be able to understand AI tools and how the algorithm works “under the hood” in order to be better informed when making decisions around its usage and implementation in organisations.Trudy conveys a clear and easy-to-follow explanation of how AI generation differs from the everyday search on our internet browsers. While search engines retrieve information from existing websites that the algorithm judges relevant, AI generation patches up an artifact which replicates human speech and predicts “the most likely next word” based on patterns observed in human interaction. AI literacy is hence of utmost relevance now that AI tools have reached their most capable and accessible stage yet. “It’s very fun to make AI tools magical. [...] But when you make AI feel airy, you remove the possibility for people to ask questions. So it’s better to make it approachable.”Trudy is an active technology enthusiast who is convinced that AI tools... Video Archive – The Conference by Media Evolution 12:33 <p><span><p><b><i>“It’s very fun to make AI tools magical. [...] But when you make AI feel airy, you remove the possibility for people to ask questions. So it’s better to make it approachable.”</i></b></p><br><p>Trudy is an active technology enthusiast who is convinced that AI tools can be as useful as electricity. By providing real-life examples and related metaphors of ceramic mugs and paper cups, the recent MIT graduate firmly believes that everyone can - and perhaps should - be able to understand AI tools and how the algorithm works “under the hood” in order to be better informed when making decisions around its usage and implementation in organisations.</p><br><p>Trudy conveys a clear and easy-to-follow explanation of how AI generation differs from the everyday search on our internet browsers. While search engines retrieve information from existing websites that the algorithm judges relevant, AI generation patches up an artifact which replicates human speech and predicts “the most likely next word” based on patterns observed in human interaction. AI literacy is hence of utmost relevance now that AI tools have reached their most capable and accessible stage yet.</p><div><br></div></span></p><p><a href="http://videos.theconference.se/trudy-painter-algorithms-behind-ai"><img src="http://videos.theconference.se/64968580/104011601/53026482ac5f20c8503912a562f29ab3/standard/download-12-thumbnail.jpg" width="75" height=""/></a></p> 2024 ai late-stage digitalization