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-humanity-aimplified <p>Q&amp;A from the session&nbsp;Humanity, (AI)mplified – The AI Tools We Use to Be More Human with&nbsp;Laura Herman (Oxford Internet Institute,) Ovetta Sampson (Google) and Charlotte Högberg (Lund University)&nbsp;</p><p><a href="http://videos.theconference.se/qa-humanity-aimplified"><img src="http://videos.theconference.se/64968567/88204429/abbdbfdd0554cdb8019006e1a1ffa08f/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/88204429 Fri, 01 Sep 2023 17:11:49 GMT Q&A – Humanity, (AI)mplified QA from the sessionHumanity, (AI)mplified – The AI Tools We Use to Be More Human withLaura Herman (Oxford Internet Institute,) Ovetta Sampson (Google) and Charlotte Högberg (Lund University) QA from the sessionHumanity, (AI)mplified – The AI Tools We Use to Be More Human withLaura Herman (Oxford Internet Institute,) Ovetta Sampson (Google) and Charlotte Högberg (Lund University) Video Archive – The Conference by Media Evolution 06:09 <p>Q&amp;A from the session&nbsp;Humanity, (AI)mplified – The AI Tools We Use to Be More Human with&nbsp;Laura Herman (Oxford Internet Institute,) Ovetta Sampson (Google) and Charlotte Högberg (Lund University)&nbsp;</p><p><a href="http://videos.theconference.se/qa-humanity-aimplified"><img src="http://videos.theconference.se/64968567/88204429/abbdbfdd0554cdb8019006e1a1ffa08f/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2023 ai humanity (ai)mplified http://videos.theconference.se/charlotte-hogberg-the-doctor-is <p><span><p>How can AI be used for the common good or more precisely in healthcare? Charlotte’s work explores what futures are possible and desirable but also what we are at risk of losing. AI's role in healthcare can have harmful effects but also huge potential benefits. She emphasises the need to raise vital questions and consider consequences. Awareness of nuances, understanding risks and avoiding unethical technology is key because this touches upon high stake decisions (literally about life and death).&nbsp;&nbsp;</p><br><p><b>“We need to be in the often uncomfortable spaces in between - at least for a while”</b></p><br><p>Constant critical engagement and trust calibration is needed because there are no quick fixes for these new emerging issues - for example how much can we augment until humans are only operators - and is this something we want to strive towards?</p><br><p>She closes her talk with a both hopeful and cautious remark. She advocates daring to dream of AI-specialist collaboration, while maintaining agency, responsible exchange and upholding medical ethics and common goals.</p><div><span><br></span></div></span></p><p><a href="http://videos.theconference.se/charlotte-hogberg-the-doctor-is"><img src="http://videos.theconference.se/64968566/88203554/c2bc5d032669fb4fbfc812fd5812ef78/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/88203554 Fri, 01 Sep 2023 17:11:28 GMT Charlotte Högberg - The Doctor is In: Assistive Intelligence in Healthcare How can AI be used for the common good or more precisely in healthcare? Charlotte’s work explores what futures are possible and desirable but also what we are at risk of losing. AI's role in healthcare can have harmful effects but also huge potential benefits. She emphasises the need to raise vital questions and consider consequences. Awareness of nuances, understanding risks and avoiding unethical technology is key because this touches upon high stake decisions (literally about life and death).“We need to be in the often uncomfortable spaces in between - at least for a while”Constant critical engagement and trust calibration is needed because there are no quick fixes for these new emerging issues - for example how much can we augment until humans are only operators - and is this something we want to strive towards?She closes her talk with a both hopeful and cautious remark. She advocates daring to dream of AI-specialist collaboration, while maintaining agency, responsible exchange and upholding medical ethics and common goals. How can AI be used for the common good or more precisely in healthcare? Charlotte’s work explores what futures are possible and desirable but also what we are at risk of losing. AI's role in healthcare can have harmful effects but also huge... Video Archive – The Conference by Media Evolution 13:52 <p><span><p>How can AI be used for the common good or more precisely in healthcare? Charlotte’s work explores what futures are possible and desirable but also what we are at risk of losing. AI's role in healthcare can have harmful effects but also huge potential benefits. She emphasises the need to raise vital questions and consider consequences. Awareness of nuances, understanding risks and avoiding unethical technology is key because this touches upon high stake decisions (literally about life and death).&nbsp;&nbsp;</p><br><p><b>“We need to be in the often uncomfortable spaces in between - at least for a while”</b></p><br><p>Constant critical engagement and trust calibration is needed because there are no quick fixes for these new emerging issues - for example how much can we augment until humans are only operators - and is this something we want to strive towards?</p><br><p>She closes her talk with a both hopeful and cautious remark. She advocates daring to dream of AI-specialist collaboration, while maintaining agency, responsible exchange and upholding medical ethics and common goals.</p><div><span><br></span></div></span></p><p><a href="http://videos.theconference.se/charlotte-hogberg-the-doctor-is"><img src="http://videos.theconference.se/64968566/88203554/c2bc5d032669fb4fbfc812fd5812ef78/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> 2023 ai humanity (ai)mplified http://videos.theconference.se/ovetta-sampson-design-principles <p><span><p><b>"Data is the love language of machine learning, but we must remember that it is not true."</b></p><br><p>We all create data. And all data is created by people. Ovetta Sampson wants us to remember this, both in order to centre humanity but also to clarify the vulnerabilities of data. We are biased, so the data we create is infused with biases as well. Whether it is by the sin of omission or the use of inequitable variables, traumatised datasets manifest in real world situations such as applying for a bank loan or decisions made on housing and education.</p><br><p>Ovetta urges particular caution for the encounters between humans and machines in the era of AI and machine learning. It's not Skynet, not yet, but ceding decision making responsibility to such systems can lead to harmful consequences. The best way of countering these resides in responsible, human-centred design frameworks which capture the minimum viable data, maintain balance in the exchange of what people give and what they receive, and include iterative privacy by default.</p><br><p>Ovetta ends with a rigorous set of responsible design practices to combat the amplification of our human biases by AI systems.</p><div><span><br></span></div></span></p><p><a href="http://videos.theconference.se/ovetta-sampson-design-principles"><img src="http://videos.theconference.se/64968578/88204257/875adba576b4286d67aacd05611ed19a/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/88204257 Fri, 01 Sep 2023 17:11:12 GMT Ovetta Sampson - Design Principles for a Pluralist Automated Future "Data is the love language of machine learning, but we must remember that it is not true."We all create data. And all data is created by people. Ovetta Sampson wants us to remember this, both in order to centre humanity but also to clarify the vulnerabilities of data. We are biased, so the data we create is infused with biases as well. Whether it is by the sin of omission or the use of inequitable variables, traumatised datasets manifest in real world situations such as applying for a bank loan or decisions made on housing and education.Ovetta urges particular caution for the encounters between humans and machines in the era of AI and machine learning. It's not Skynet, not yet, but ceding decision making responsibility to such systems can lead to harmful consequences. The best way of countering these resides in responsible, human-centred design frameworks which capture the minimum viable data, maintain balance in the exchange of what people give and what they receive, and include iterative privacy by default.Ovetta ends with a rigorous set of responsible design practices to combat the amplification of our human biases by AI systems. "Data is the love language of machine learning, but we must remember that it is not true."We all create data. And all data is created by people. Ovetta Sampson wants us to remember this, both in order to centre humanity but also to clarify the... Video Archive – The Conference by Media Evolution 19:16 <p><span><p><b>"Data is the love language of machine learning, but we must remember that it is not true."</b></p><br><p>We all create data. And all data is created by people. Ovetta Sampson wants us to remember this, both in order to centre humanity but also to clarify the vulnerabilities of data. We are biased, so the data we create is infused with biases as well. Whether it is by the sin of omission or the use of inequitable variables, traumatised datasets manifest in real world situations such as applying for a bank loan or decisions made on housing and education.</p><br><p>Ovetta urges particular caution for the encounters between humans and machines in the era of AI and machine learning. It's not Skynet, not yet, but ceding decision making responsibility to such systems can lead to harmful consequences. The best way of countering these resides in responsible, human-centred design frameworks which capture the minimum viable data, maintain balance in the exchange of what people give and what they receive, and include iterative privacy by default.</p><br><p>Ovetta ends with a rigorous set of responsible design practices to combat the amplification of our human biases by AI systems.</p><div><span><br></span></div></span></p><p><a href="http://videos.theconference.se/ovetta-sampson-design-principles"><img src="http://videos.theconference.se/64968578/88204257/875adba576b4286d67aacd05611ed19a/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2023 ai humanity (ai)mplified http://videos.theconference.se/laura-herman-the-human-creative <p><span><p><b>“What would you make if you did not have to generate it?”</b></p><br><p>Global platforms like Instagram and Tik Tok enable creatives to show their work to wider audiences. However, these platforms also operate using algorithms that determine which content appears in users' feeds and what remains unseen.&nbsp;</p><br><p>This dynamic has significant implications: firstly, algorithms replace the work that elite institutions such as museums and art galleries traditionally have done. We tend to explore what grabs our attention instead of spending time with art pieces that might need more time to examine and understand. Secondly, recommendation systems influence the way creatives show their work. Collaborators in Laura’s projects shared that they sometimes publish works that will perform well but not necessarily challenge them as artists or show their best work.&nbsp;</p><br><p><b>“How would you describe your taste to a machine?”</b></p><br><p>This has an influence on our perception of the world and on the evolving role of humans as creators. Laura believes generative AI tools can be seen as an additional tool in the creatives’ toolbox. Along with this, there is a shift of focus from production to curation.&nbsp;</p><p>Coming up with ideas and thoughtful concepts is becoming more crucial than the production process itself as this can be (partially or entirely) assisted by generative AI tools. Taste and critically selecting criterias will become sought-after creative skills. She closes her talk with provoking questions like how art pieces look different depending on who they were aimed to be created for.</p><div><br></div></span></p><p><a href="http://videos.theconference.se/laura-herman-the-human-creative"><img src="http://videos.theconference.se/64968575/88204003/33c2e83c3545b59455a472a84e31878d/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://videos.theconference.se/photo/88204003 Fri, 01 Sep 2023 17:10:50 GMT Laura Herman - The Human Creative Director: Remixing, Seeing, Curating “What would you make if you did not have to generate it?”Global platforms like Instagram and Tik Tok enable creatives to show their work to wider audiences. However, these platforms also operate using algorithms that determine which content appears in users' feeds and what remains unseen.This dynamic has significant implications: firstly, algorithms replace the work that elite institutions such as museums and art galleries traditionally have done. We tend to explore what grabs our attention instead of spending time with art pieces that might need more time to examine and understand. Secondly, recommendation systems influence the way creatives show their work. Collaborators in Laura’s projects shared that they sometimes publish works that will perform well but not necessarily challenge them as artists or show their best work.“How would you describe your taste to a machine?”This has an influence on our perception of the world and on the evolving role of humans as creators. Laura believes generative AI tools can be seen as an additional tool in the creatives’ toolbox. Along with this, there is a shift of focus from production to curation.Coming up with ideas and thoughtful concepts is becoming more crucial than the production process itself as this can be (partially or entirely) assisted by generative AI tools. Taste and critically selecting criterias will become sought-after creative skills. She closes her talk with provoking questions like how art pieces look different depending on who they were aimed to be created for. “What would you make if you did not have to generate it?”Global platforms like Instagram and Tik Tok enable creatives to show their work to wider audiences. However, these platforms also operate using algorithms that determine which content... Video Archive – The Conference by Media Evolution 15:21 <p><span><p><b>“What would you make if you did not have to generate it?”</b></p><br><p>Global platforms like Instagram and Tik Tok enable creatives to show their work to wider audiences. However, these platforms also operate using algorithms that determine which content appears in users' feeds and what remains unseen.&nbsp;</p><br><p>This dynamic has significant implications: firstly, algorithms replace the work that elite institutions such as museums and art galleries traditionally have done. We tend to explore what grabs our attention instead of spending time with art pieces that might need more time to examine and understand. Secondly, recommendation systems influence the way creatives show their work. Collaborators in Laura’s projects shared that they sometimes publish works that will perform well but not necessarily challenge them as artists or show their best work.&nbsp;</p><br><p><b>“How would you describe your taste to a machine?”</b></p><br><p>This has an influence on our perception of the world and on the evolving role of humans as creators. Laura believes generative AI tools can be seen as an additional tool in the creatives’ toolbox. Along with this, there is a shift of focus from production to curation.&nbsp;</p><p>Coming up with ideas and thoughtful concepts is becoming more crucial than the production process itself as this can be (partially or entirely) assisted by generative AI tools. Taste and critically selecting criterias will become sought-after creative skills. She closes her talk with provoking questions like how art pieces look different depending on who they were aimed to be created for.</p><div><br></div></span></p><p><a href="http://videos.theconference.se/laura-herman-the-human-creative"><img src="http://videos.theconference.se/64968575/88204003/33c2e83c3545b59455a472a84e31878d/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai humanity (ai)mplified