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The Great AI Game (Carl Benedikt Frey & Azeem Azhar) | DLD Summer
24:42
DLDconference

The Great AI Game (Carl Benedikt Frey & Azeem Azhar) | DLD Summer

Speakers: Carl Benedikt Frey, Oxford Martin Citi Fellow, Oxford Martin School, Oxford University Azeem Azhar, Writer & Entrepreneur, Exponential View Don’t think about data as the new oil, Oxford economist Carl Benedikt Frey argues in his DLD Summer session with Azeem Azhar – because data alone doesn’t make you a leader in artificial intelligence. What’s really needed, he says, is making algorithms smarter, so that they understand in which context they’re operating. “There’s a risk of exaggerating China’s AI capabilities”, Frey says, and he sees “a real opportunity for Europe“ because “the AI race is in its early innings.” Azhar – publisher of the popular Exponential View newsletter – agrees that the current AI approach is limited. But “the reality is that very large models are working”, he says, which benefits technology giants and creates “an entire supply chain” of software and hardware around the dominant machine learning approach of neural networks trained on huge amounts of data. The DLD Conference channel features all talks held at past conferences and our digital format DLD Sync as well as the highlights of our events. For news, upcoming events and more interesting topics make sure to also visit: DLD Website: https://dld-conference.com DLD on Instagram: https://instagram.com/dldconference/ DLD on Twitter: https://twitter.com/dldconference DLD on Facebook: https://facebook.com/DLDconference/
Labour Market and Automation – Joshua Gans, Martin Ford, & Carl Benedikt Frey #006
01:06:09
Rethinking Economics NL

Labour Market and Automation – Joshua Gans, Martin Ford, & Carl Benedikt Frey #006

The sixth interview of the series features Martin Ford (Futurist and Author), Carl Benedikt Frey (University of Oxford), & Joshua Gans (University of Toronto), who will discuss how technological progress has historically and is currently affecting our economy, especially focusing on the labour-market. Will this be different for the currently disruptive technologies, especially AI and robotics, and if so, how? How should we interpret predictions about future progress in AI, such as when we’ll have self-driving cars? What can we learn about history and models from how AI and robotics will change our economy and labour-market? What should we change in our economics education related to this topic? This interview was recorded on 10th of September 2020. All dates referring to “next year” refer to 2021. Our website with all previous interviews: https://www.rethinkingeconomics.nl/ai-lecture-series YouTube: https://youtu.be/MsKpQI8U69w Anchor: https://anchor.fm/rethinking-economics-nl Breaker: https://www.breaker.audio/rethinking-podcast Google Podcasts: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy8zMWExZjZmNC9wb2RjYXN0L3Jzcw== Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-podcast/id1529734296?uo=4 Spotify: https://open.spotify.com/show/0NPRyHrhnoI6Ktb3ZH0WL8 Pocket Casts: https://pca.st/pm2w3wm2 RadioPublic: https://radiopublic.com/rethinking-podcast-WkRP0X Overcast: https://overcast.fm/itunes1529734296/rethinking-podcast
The Technology Trap | Carl Benedikt Frey | Talks at Google
46:29
Talks at Google

The Technology Trap | Carl Benedikt Frey | Talks at Google

Carl Benedikt Frey joined us in London to talk about his book ""The Technology Trap: Capital, Labor, and Power in the Age of Automation", and what history teaches us about how we might deal with the upcoming shift in working habits caused by the age of artificial intelligence. * About the book * From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members. As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends, Frey documents, broadly mirror those in our current age of automation, which began with the Computer Revolution. Just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. But Frey argues that this depends on how the short term is managed. In the nineteenth century, workers violently expressed their concerns over machines taking their jobs. The Luddite uprisings joined a long wave of machinery riots that swept across Europe and China. Today’s despairing middle class has not resorted to physical force, but their frustration has led to rising populism and the increasing fragmentation of society. As middle-class jobs continue to come under pressure, there’s no assurance that positive attitudes to technology will persist. The Industrial Revolution was a defining moment in history, but few grasped its enormous consequences at the time. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present. Get a copy of the book here: https://goo.gle/3194fgx
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