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المحتوى المقدم من Johannes Castner. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Johannes Castner أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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'The Artificial Era': Bridging AI, Music, Sustainability, and Societal Impact for the Future.

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المحتوى المقدم من Johannes Castner. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Johannes Castner أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this episode of "Utopias, Dystopias and Today's Technology," host Johannes invites the multifaceted AI expert and celebrated pianist Gissel Velarde for an exploration of AI, music, and society.
Starting off with Gissel's journey in the fields of AI and music, the conversation swiftly ventures into the interplay between data science, AI and the art of music creation. The duo contemplates on profound questions concerning AI's role and impact in music, whether it can be considered to have intentionality, and the debate on AI with respect to intelligence, consciousness, and sentience.
Intricacies of musical influence, historical transformations in music, and the genesis of music in rituals, all in relation to AI bring out nuances that are not usually discussed. Can AI replicate human experiences? Is it possible to empathize with AI or to use technology such as immersive experiences to empathize with other biological intelligences? The episode dives into these scantly discussed areas, providing listeners with fresh perspectives on the topic.
The episode further touches on the role of AI in sustainability, the dangers of technology, and the potential manipulation of human nature, highlighting the importance of developing critical thinking in our rapidly digitalizing world. Johannes and Gissel shed light on the educational inequality, digital divide, and the promise of technology in overcoming these barriers.
Gissel gives us a sneak peek into her upcoming book, "The Artificial Era," which will be puclished in October and is available for early ordering here: https://gvelarde.com/books/Artificial-era-by-Velarde.html
This book promises to address pressing issues like the lack of diversity in AI and potential future predictions. The conversation takes a personal turn as Gissel shares her journey from Bolivia to Germany and Denmark, instilling hope and inspiration in aspiring data scientists.
Finally, they contemplate AI's role in fostering sustainable energy and environmental conservation, leading up to a concluding thought that underscores the potential of every individual to make the world a better place.
Join us in this intellectually enriching dialogue that promises to challenge your understanding of AI and its pervasive influence on various aspects of our lives. Don't forget to like, comment, and subscribe for more insightful discussions!
Gissel Velarde's website can be found here: https://gvelarde.com/
Gissel's paper on time series forecasting with deep learning is available here: https://arxiv.org/pdf/2302.12027v1.pdf

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Manage episode 366709594 series 3431926
المحتوى المقدم من Johannes Castner. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Johannes Castner أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this episode of "Utopias, Dystopias and Today's Technology," host Johannes invites the multifaceted AI expert and celebrated pianist Gissel Velarde for an exploration of AI, music, and society.
Starting off with Gissel's journey in the fields of AI and music, the conversation swiftly ventures into the interplay between data science, AI and the art of music creation. The duo contemplates on profound questions concerning AI's role and impact in music, whether it can be considered to have intentionality, and the debate on AI with respect to intelligence, consciousness, and sentience.
Intricacies of musical influence, historical transformations in music, and the genesis of music in rituals, all in relation to AI bring out nuances that are not usually discussed. Can AI replicate human experiences? Is it possible to empathize with AI or to use technology such as immersive experiences to empathize with other biological intelligences? The episode dives into these scantly discussed areas, providing listeners with fresh perspectives on the topic.
The episode further touches on the role of AI in sustainability, the dangers of technology, and the potential manipulation of human nature, highlighting the importance of developing critical thinking in our rapidly digitalizing world. Johannes and Gissel shed light on the educational inequality, digital divide, and the promise of technology in overcoming these barriers.
Gissel gives us a sneak peek into her upcoming book, "The Artificial Era," which will be puclished in October and is available for early ordering here: https://gvelarde.com/books/Artificial-era-by-Velarde.html
This book promises to address pressing issues like the lack of diversity in AI and potential future predictions. The conversation takes a personal turn as Gissel shares her journey from Bolivia to Germany and Denmark, instilling hope and inspiration in aspiring data scientists.
Finally, they contemplate AI's role in fostering sustainable energy and environmental conservation, leading up to a concluding thought that underscores the potential of every individual to make the world a better place.
Join us in this intellectually enriching dialogue that promises to challenge your understanding of AI and its pervasive influence on various aspects of our lives. Don't forget to like, comment, and subscribe for more insightful discussions!
Gissel Velarde's website can be found here: https://gvelarde.com/
Gissel's paper on time series forecasting with deep learning is available here: https://arxiv.org/pdf/2302.12027v1.pdf

  continue reading

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