This is what Dr. Noam Lamelstrich-Later, the founding dean of the Sami Ofer School of Communication at the Herzliya Interdisciplinary Center, said, according to him, "The human journalist is not a late man at all." The robot cannot replace it with interesting coverage. We, as humans, have a huge advantage in terms of creativity provided we understand where the world is heading. It is not easy"
By Yossi Al-Toni, People and Computers
"Artificial intelligence has limitations and therefore human journalism will survive the age of artificial intelligence. At the same time, journalists will also be required to be aware of the changes they must go through in order to operate in the new world," said Dr. Noam Lamelshtrich-Letter, the founding dean of the Sami Ofer School of Communication at the Herzliya Interdisciplinary Center.
Dr. Lamelstrich-Later was the keynote speaker at the tour held by the IBI - Data Science Forum from People and Computers at the Interdisciplinary Center. The meeting was opened by the leader of the forum, Moti Sadovsky, CEO of DCS strategic consulting for information systems.
Artificial intelligence, said Dr. Lemelstrich-Latter, "has limitations. Today there is a journalistic bot, a computer program that writes the journalistic narrative without human intervention. The bot can analyze a lot of information at lightning speed, with the ability to write a journalistic story adapted to the consumer profile and the client's agenda."
"There are currently 12 commercial companies building algorithms that write such narratives, including Narrative Science in the United States, Tencent in China and Yandex in Russia. The algorithms read, analyze and bring insights. They are learning machines, correcting themselves on the fly," said Lamelstrich-Latter.
"When there are people, there are terrible noises"
He quoted Ray Kurzweil, the American Jewish futurist, who said that "in 2029 computers will be able to do all human work and better" and the historian Yuval Noah Harari, who said "human beings will be worthless. Robots will do everything. People will consume drugs and entertainment."
Lemelstrich-Letter also quoted Prof. Daniel Kahneman, Nobel laureate in economics, who said "I see no reason to put limits on artificial intelligence. It is hard to imagine a situation where when there is enough data - there will be things that only humans can do. When there are people, there are terrible noises."
According to him, "Kahneman's big mistake is seeing the noises as a disadvantage. I see them as an advantage, because they allow the brain to be creative at higher levels."
"IBM is a pioneer in the field of the artificial neuron, which simulates the natural one. They focused on language and analytical thinking, today they are making a revolution: building a neuro-synaptic brain that focuses on the senses. Their goal is to develop a mind, not only on the analytical side, but with senses and feelings," added Lamelstrich-Later.
"But an artificial brain has algorithmic thinking, a combination of logical circuits of '0' and '1'. The genius of man is to use it in a smart way. The artificial neuron was programmed to process information in a 'rational' manner. Information is transferred from one neuron to another, only if there is new information. Albert Einstein said that 'I never arrived at my discoveries through rational understanding,'" he said.
According to him, "there are three levels of artificial intelligence. This is the narrow, the weak, can only act in context, from one defined field such as inventing medicines or identifying software. Its weakness is that it is impossible to transfer knowledge from one area to another. The second artificial intelligence, the general one, combines insights from different fields with the ability to think abstractly. The third form is an artificial brain that is more creative than a human brain in every possible dimension, Super AI," explained Lamelstrich-Latter.
He also said that "artificial intelligence has limitations. Despite all the progress in its development in 70 years - all the algorithms developed do not go beyond narrow artificial intelligence. They fail to imitate a human brain, which can link between fields that narrow artificial intelligence cannot".
"Studies show that there is a direct connection between imagination and subconsciousness and creativity and innovation at a high level," noted Dr. Lemelstrich-Letter, citing cognitive science researcher Margaret Boden, according to which "one should not expect breakthrough innovation from artificial intelligence - it operates within the space of concepts defined for it" .
The activity of the journalist
Dr. Lemelstrich-Letter described the journalist's work. His first activity, he said, "is data collection. Not only he does this, government agencies and technology companies also do this - and in a much better way than the journalist. In the second step, we will analyze the data. Artificial intelligence helps journalists, analysis tools generate insights and enable predictive capabilities, for example by scanning social networks. Here, the role of the human journalist is very important, in that he knows how to pose the right questions."
"The third action is the construction of the narrative. The journalistic story is undergoing a revolution: the new journalistic story consists of a combination of platforms. The robot will analyze the information and write a draft. The press is becoming an immersive (embedded, embedded) press, where the consumer wants to be part of the experience. The new journalistic story consists of a diverse puzzle of technologies, including the integration of virtual reality. Artificial intelligence is not able to cope with the combination of technologies. She is not there, and she will not be there for many years. The artificial intelligence that has been developed to date is the type of narrow intelligence, which is unable to deal with the new journalistic story structure," he said.
Lamelstrich-Letter concluded by saying that "on the journalist and on every content creator in the new era. To go beyond his traditional journalistic activities and to use more tools and professional behavior patterns. He must take advantage of new technologies; He must use other people who know how to take advantage of these technologies; He must ask questions that are important to democracy and human freedom. In all these places - artificial intelligence and robots will not be there."
"The role of the human journalist in the new era is critical. He must tell the new story in a creative and interesting way. The human journalist is not deceased at all. The robot cannot replace a human journalist with interesting coverage. We, as humans, have a huge advantage in terms of creativity - provided we understand where the world is heading. It's not easy," he said.
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The recent disappointments with Watson's performance in the field of medicine and in general with Watson's applications, show that it will probably be some time before Bina replaces the journalists, so I am obliged to qualify and hedge my words. For the next few years, the professor may be right.
In the first stage, Bina's technology may not be ready yet. In my opinion, these problems are challenges.
https://www.ynet.co.il/articles/0,7340,L-5331307,00.html#autoplay
What is said is about the opinion of the said in the above article only, and not as defamation, and he is entitled to express his opinion differently from it and to find evidence that contradicts the issue of intelligence.
The lecturer speaks from the thoughts of his heart. Today there is no software that can replace the person, at least not overtly, maybe in deepmind there is. In my opinion, either there isn't or there is at the level of a small child.
To say that it is impossible means that there is a limit to the human creativity of artificial intelligence. And there is no limit at all in any field.
As scientists understand the human brain, also through experiments in artificial intelligence, so the intelligence will advance.
In other professions such as deciphering an MRI expert, and playing 60 strategy games, the brain already works better than the best person in the field. The professor wants to say it will be a sad day if it happens and that is true, but as someone who works in the field it will happen.
They will be different from us, colder than us. Depends on where we direct the development. Examples of how intelligence research has deepened our understanding of what intelligence should be like. A few years ago Dr. Ain Goodfellow wrote an article about Binah where instead of one player there are 2 players competing with each other. Playing against each other accelerates learning. Realized that Shitzer shortens the training time from a million learning examples to 10,000. Apart from that, this Bina creates films in a field called styling where you choose the style for example Van Gogh and a normal film and the Bina turns the film into a Van Gogh style film.
Since then, the field of multi-agent deep learning research has opened up. Another researcher, for example Dr. David Silver, came and said - Habina will compete in a game against herself in which she receives reward and punishment. This created software that achieves much higher performance than deep learning by itself and is called reinforcement learning. The sad and amazing thing is that the size of the creation of humans is the size of the progress of intelligence and if you multiply by hundreds of thousands of research teams, the evolution there is fast.
Another example: it was clear that as more layered neural layers are added, the abstraction in internalization increases and with it the performance increases. But above 5 layers the learning entered saturation. From 1998 to 2012 the issue was stalled. In 2012, Alex Kritsevski together with Joshua Bengio from Toronto presented a network in which there are bypasses of a neural layer to its non-consecutive layers. As a result, today it is possible to connect 128 and more layers without saturation. It took 20 years, and then a revolution happened.