00:00Whether in the office, on construction sites or in medicine.
00:04Artificial intelligence has long since changed our work.
00:07But does it also lead to job losses?
00:10I don’t think that the jobs will necessarily be completely replaced,
00:15that jobs are changing.
00:17My concern is that we are reducing our brain capacity
00:21at some point give up a little and lose.
00:24Because so much is taken away from us,
00:26that in the end you have to think less.
00:30The fact that machines are taking over jobs from people is nothing new.
00:34But how far will AI go?
00:37But generative AI affects everything that is digital, that can be digitized.
00:43In this respect, it has a much, much stronger punch,
00:45in my opinion, than anything we've had before.
00:49Max wants to know, will the new colleague soon make us all unemployed?
00:54We are at the Pathological Institute of the Frankfurt University Hospital.
00:57Federal funding is financing the pathology of the future,
01:01in which artificial intelligence plays an important role.
01:04Professor Wild’s team is examining tissue samples,
01:08makes diagnoses, e.g. breast cancer or prostate cancer.
01:12Around 500,000 slides are analyzed here every year,
01:16for 6 hospitals in the region.
01:18AI is not just about tackling complex tasks,
01:25but we use speech recognition here,
01:28to a previously very complex process of writing down the samples,
01:33that arrive with us, dictate,
01:35write with the typing office directly on site, automate.
01:40Here in the laboratory, the tissue samples are prepared for analysis.
01:45Much of the work is still done manually. But?
01:50Until now it was like this,
01:51that we looked at histological sections under the microscope.
01:56And these histological sections are now being digitized.
02:00And from now on I'll only watch the cuts on the screen.
02:04Until recently, tissue samples were carried through the house,
02:08analyzed with a microscope and returned to the archive.
02:11They were stored there unused.
02:13Today, all old and new samples are available digitally.
02:17A treasure trove of data that combines decades of experience of many pathologists,
02:21with the AI now works.
02:23Faster and more precise than before.
02:25AI and digitalization are always nice,
02:28if it doesn't concern you personally.
02:30That’s a sentence that many employees tell me.
02:34Work is changing a lot.
02:36That’s how many people feel right now.
02:38A representative study by the Technical University of Darmstadt shows,
02:4281% of Germans surveyed are worried about
02:45that artificial intelligence could take over their job.
02:48Especially young people.
02:50I believe that as current graduates we
02:53or maybe in the next 3-5 years
02:56are more likely to have problems,
02:57to find an entry-level job until things have settled down again.
03:01That we've had a bit of bad timing here.
03:05So I am a midwife-to-be and I am honestly not afraid of
03:09because, yes, my job is actually irreplaceable by artificial intelligence.
03:14I am in the field of cable construction, especially fiber optics,
03:17and there is also a lot of customer contact and AI will not be able to replace that.
03:21Will AI soon replace entire professional fields or just change our work?
03:27Business information technology specialist Peter Buxmann has been addressing this question for more than 10 years.
03:34If you have an activity that is digital or can be digitalized,
03:38can be displayed on the screen, so to speak, then generative AI comes into play.
03:43And then, in my opinion, everything will really change.
03:47But if we have, let’s say, any job that is more in the direction of
03:51Maybe a cook, maybe a craftsman, not much will change.
03:56However, generative AI will take over routine tasks in all industries.
04:01Studies have already shown this.
04:03Around 700 companies stated that AI primarily helps to complete complex tasks,
04:09to improve the quality of work,
04:11but it also helps to cushion the shortage of skilled workers.
04:14Very few people mentioned staff savings.
04:18In the long term, however, the business information specialist emphasizes,
04:21it would depend on each individual company.
04:24Let's take a publishing house in the journalism sector, where writing takes place.
04:30Then the managers practically have the decision,
04:32whether they now take the same output, so to speak
04:35and now achieve with perhaps fewer employees.
04:38Or whether they say, hey, we want to have better texts now,
04:41we want to have better software
04:42and then, so to speak, take the employees to achieve something better.
04:46The Frankfurt University Hospital has opted for something better.
04:50Artificial intelligence has become indispensable in pathology.
04:54Last year, around 14,000 cancer patients were treated here.
04:57Without AI, this took four hours per patient; today it only takes one minute.
05:02AI not only makes diagnostics faster, but also better.
05:06So what you see here is a very current example of a patient with breast cancer.
05:11And here you can see the tumor cell nuclei in dark blue and the positive cell nuclei in brown,
05:19which the AI has also marked with a tiny dot.
05:23Until now, Peter Wild had to estimate how many of these millions of cell nuclei were brown, i.e. cancerous.
05:29As a doctor, I can't really count.
05:32So I don't count 80,000 cell nuclei.
05:36But I guess AI counts.
05:41In the next ten years, 50 percent of pathologists will retire.
05:45AI helps to automate their knowledge.
05:48But is the professor also afraid for his job?
05:50I myself am not afraid of it.
05:52I believe it will help us improve and standardize diagnostics.
06:01That must be the goal.
06:03And if it requires AI, then no matter what we think and fear, it will happen.
06:11AI is changing our work, especially routine jobs.
06:14The decisive factor will be how companies qualify and deploy their employees.
06:19Then AI can be more of an opportunity than a risk.
06:22KI emitted with you Finish againし pra welding.
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