last part of born to 2 and on friday of course you don't want to fight want your new state for shakes living in the digital age with the special meeting place the algorithms in our life. news 247 on our website that is. on humphrey invite and thanks to a company. by now. i'm not laughing at the germans because sometimes i am but mostly i'm nothing with the people german think deep into the german culture. will take this ground you just it's all that they know i'm rachel join me for me to get money to post.

in the. climate change. summit. coming. up soon soon. what is today their future. dot com mega city. could turn. this special edition of shift we explore how algorithms influence our minds. 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 our algorithms. that's actually quite simple an algorithm is

a clear process or set of rules to follow to song. the problem. for example step by step they tell us what to do 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 a convert sample 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 is but there are states that in a right angled triangle the square of the news is equal to the sum of the squares of the other 2 sides in other words a squared plus b. squared 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. 25 people how to perform written calculations using 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 algorithms that are free of discrimination. that is something that we as

a society must be prepared to fight for. them to work on the internet. the.

but katherine says algorithms aren't solely to blame because they're programmed and fed by humans and 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 very much learned this translation software if 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 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 themis 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 about 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 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. my informative. took part in the project. and he lets me on in recent years new algorithms were developed specially to piece together the different fragments of the genomes because they really helped us to create a coherent sequence out of this huge pile of puzzle pieces. the researchers hope this will help them break new week for ideas 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 it where to satisfy the hunger of earth's growing population. the sequencing of the bread week genome is a major step in that direction. can algorithms predict the next bestseller. a startup hopes to use its software to help publishers vish 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. and the idea came from hearing from many publishers and authors too that much of

the 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. the ai software rates are 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 vocabulary and emotions . in the room and we take a books and divide it into its literary components we explore what kind of themes the work uses a 100 what is its dramatic arc what style of language are constellation characters employ 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. 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 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 it's 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 feel if a larger does not finish up if lots of publishers start using it i fear there will be a more mass market literature released more things that cater to the mass market. i must not and 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. how said the founder say fears that the book market could become less diversified are unfounded. and getting 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 on quote 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. who to send his latest work to poly fiction for analysis. this is for some listen to see it's a bit darker than normal. this is the average is that you're

a bit more intense. here you can see that you manage to maintain the suspense but over time you get more and more extreme. no takes. in almost every respect to meet the target groups expectations of. the algorithm thinks christan going to his novel has a 23 percent chance of becoming a bestseller. this is sort of it's just the fits 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 no question. not that for an unknown writer. a fiction was designed to help publishers who lack the time to read all of the manuscripts they received but authors also appreciate the software speed 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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still the same. as most commitment to 45 minutes on d. w. . is going to. change you know the banks. and so watch the language of the bank to. speak. the truth global news that matters d. w. made for minds. we are living during the most extraordinary time mr.