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tv   Shift  Deutsche Welle  January 25, 2020 11:15am-11:31am CET

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all right stay tuned our technology show shifts coming up next you know for get all the latest news and information available around the clock on our web site that's d.w. dot com or follow us on twitter at g w news i'm from aspen and take spicer will be here with more news at the top. of the guy you don't need to have a lot of the people polled for the over comments on home the 4th time from the most recent i think number at least about on the. right. to use. books on. in the life of climate change. or some.
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people. want to do is today their future. dot com for. the multimedia. click turn. on this special edition of shift we explore how algorithms influence our lives. algorithms have been around for a long time but at the age of big data and digitalisation they're becoming ever more important and powerful are we letting algorithms think for us. what are algorithms. that's actually quite simple an algorithm is a clear process or set of rules to follow to solve a problem assembly instructions for example step by step they tell us what to do.
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if we follow them we should achieve the desired result assuming the instructions are good but that's another story. probably existed for as long as people could think. the algorithm for computing square roots known as herons method was known to the babylonians and so mathematical algorithms were ancient times one famous example. states that in a right angled triangle the square of the hotness is equal to the sum of the squares of the other 2 sides in other words. equals c. squared. so if you know the length of 2 sides you can work out the length of the other. but where does the word algorithm come from it's named after me a persian scholar. he taught people how to perform written calculations using
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arabic numerals. these algorithms are still the ones we learn in school today as long as calculators don't put an end to mental math. computers use algorithms. basically every computer program is an algorithm which tells the processor precisely how to utilize the incoming stream of data. and now algorithms are even capable of learning. conducts research on machine learning algorithms and think society needs to regulate their implementation. of what we should hope to achieve is having certain standards. that are free of discrimination. that is something that we as a society must be prepared to fight for. work on the internet.
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facebook. otherwise they couldn't handle the huge streams of data but their eagerness to collect masses of data raises questions.
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we have a choice. but
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catherine jar moules says algorithms aren't solely to blame because they're programmed and fed by humans algorithm learns because we train it using machine learning so either whether it's deep learning with a neural network so to speak or it's shallow machine learning where feeding it data and were asking it to form an opinion and of course when that opinion is based on data that has unfair treatment of groups then the algorithm or very much learned this translation software at the millions of texts that teach it mention more female than male kindergarten teachers the algorithm learns and remembers that. picture recognition learns from large image databases here you find more pictures of women in the kitchen than men so the algorithm learns to associate women with
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kitchens changing that is tough and time consuming. the coding is often top secret so it's difficult to prove an algorithm is prejudiced the theme is program can check for discrimination. it simulates fake accounts that are identical in everything but gender. accountability transparency and fairness are really the future of machine learning and we need to make them trustworthy and we need to you know allow people to ask questions of how they work and allow people to see how they're operating and how they're trained. to eliminate prejudice and algorithms it will take more social awareness and human intervention . for a long time it was considered an impossible task sequencing the wheat genome but now an international research team has done just that with the help of algorithms. that. over 200 researchers from 20 countries work together to discover bread wheats
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d.n.a. in science magazine they reported how they were able to sequence over 100000 genes has 5 times more genes than humans so the researchers developed special algorithms to help them. myal informative manuel took part in a project. he lets me on in recent years new algorithms were developed specially to piece together the different fragments of the genomes they really helped us to create a coherent sequence out of this huge pile of puzzle pieces strands of print the researchers hope this will help them break new wheat for righties that are more resistant to climate change. and possibly have to make it more adaptable to different climatic conditions for example longer periods of drought and possibly longer periods of heavy rain as well. along with the rice wheat is considered the world's most important food stuff experts warn that we must increase
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if we're to satisfy the hunger of earth's growing population. the sequencing of the bread wheat genome is a major step in that direction. and algorithms predict the next best seller. a startup hopes to use its software to help publishers fish out the most promising manuscripts in a matter of seconds. what novels will fly off the bookstore shelves and which ones won't. a piece of software named qualification is supposed to be able to predict which manuscript will become the next best seller. the idea came from hearing from many publishers and authors to that much of a huge amount of material that submitted each year in germany doesn't even get read . simply because it would take too many people to do so.
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the ai software rates stories according to their sales potential using 100000 books and their sales figures the program learn to recognize a bestseller sentence by sentence test readers fed it with successful novels and read them. the criteria including sentence length suspense a cabbie larry and emotions. in the back we take a books and divide it into its literary components we explore what kind of themes the work uses what is its dramatic arc what style of language are constellation of characters is employed and from how and using all these characteristics we make a final rating i know. several publishers are currently testing the software including small hamburg based publisher foyer vaca its director and one editor regularly wade through mountains of manuscripts. say we get sent 100 manuscripts you can be pretty sure that a lot of these can be filtered out because they're not suitable for
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a formal reason i'll say. if the software manages to filter out that 10 to 20 percent and that would be a great help. but after that separating the wheat from the chaff is really all about the little details. ror says people will always be needed to work closely with the authors. many in the publishing business are critical of the software including kissed and primus who's worked as a book editor for 25 years. then feed of. if lots of publishers start using it i fear there will be more mass market literature released more things that cater to the mass market. i must not i'm sure that's happening already but i'm afraid it will only get worse and that really innovative different and surprising works will fall by the wayside. and also the founder say
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fears that the book market could become less diversified are unfounded. beguiled me and even tired especially think the opposite is true it will likely lead to more diversity because publishers have the opportunity to assess whether something might really succeed as it contains many elements that are really new and work well sent include fulton and. christiane good into moonlight says a writer of dark fantasy novels and sees the software as an opportunity for authors like himself. it could help him learn how to better reach his target audience and tell him if it's worth investing in marketing. going to send his latest work to quali fiction for analysis. so listen to see it's a bit darker than normal. this is the average this year a bit more intense. here you can see that you managed to maintain the suspense but over time you get more and more extreme. no takes. in almost every respect to meet
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the target groups expectations of. the algorithm thanks christiane going to his novel has a 23 percent chance of becoming a bestseller. this is a little fast and it's the footsteps and you need to look at it from the view of a publisher looking to appeal to a mass audience and and for that it's a pretty good rating yet i should. not that for an unknown writer. of fiction was designed to help publishers who lack the time to read all of the manuscripts they received but authors also appreciate the software's been back for all its apparent prejudices at least we can say that ai doesn't judge a book by its cover.
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check in takes this special trip. to d.c. show it's not just the city trip but also a journey for jewish history is fire warms the minds are considered the cream of jerky in judaism. jewish life has shaped these 3 cities for more than 900 years and i want to know what remains of it. next on d w. that change the world. to me transcend the trees and bring us all together. to our documentary about the revolutionary power of music charts and john.
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becoming pieces of history. songs like that don't go away they stay with us for all time highs. bottomless. starts feb 7th. i am in the southwest of germany in spite of. the city of 50000 inhabitants located on the rhine and especially known for this building.


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