Man will not be replaced by machine;  and a journalist too!  – Today Morocco
Sciences et technologies

Man will not be replaced by machine; and a journalist too! – Today Morocco

Morocco’s UPF (Union of the Francophone Press), as part of its training series last Saturday, invited media consultant Gerard Golubovic to discuss this issue. The man who taught for ten years at Sciences Po in particular and at ESJ has deciphered for UPF members the origins and contours of artificial intelligence, which questions the ancient customs of information seeking… In relation to the journalistic profession, this has a certain impact. But it should be taken with a grain of salt and used wisely. This is a matter of ethics! Lighting.

“This training is an offer, a moment of discovery, it is not only a matter of meeting your immediate needs, but also introducing you to generative artificial intelligence that will help equip you effectively and allow you to better understand the future changes that have already been announced. . From the very beginning, the expert will set the stage for his presentation so that the presenters will position themselves in this vast and heterogeneous world that is generative AI. The latter can be defined as a recent phenomenon that is developing at the speed of light in terms of practice, ethical and legal context, as well as at the industrial level. Gerald Golubovich goes on to state that “therefore, it is impossible to be exhaustive and cover all generative AI topics in one day of training.”
Then everyone will have to improve their knowledge in this matter in accordance with their expectations. Industrial players are restricting free access to platforms, making the task more difficult. In the journalistic profession and in the audiovisual sector in particular, the ability to write a tip does not mean that a person knows how to use generative AI to its fullest potential. This broad scope implies that humans represent the context for the emergence of generative AI. It will also be about understanding the challenges associated with generative AI. He will have to identify the main use cases that newsrooms currently face. Because it’s a fact. It is critical to better understand what generative AI can change in the editorial department.
This allows us to identify the most responsible and ethical practices in the context of editorial production. That is why in the second part the training was so that journalists could familiarize themselves and work with ChatGPT 3.5, 4.0, Perplexity.ai in order to understand the structure of the tip. At the same time, the trainer continued to provide general information about the chatbots being tested. During the training, several platforms were tested, namely Perplexity.aichatgpt claude and Gemini Copilot. The exercise was also about being able to automatically create content… The partnership between Le Monde and Prisa Media is quite indicative of this practice. This does not mean that the journalist will be replaced, but he can be helped with documentary research that will allow him to base his story on facts, using statements from people who were actually interviewed to cross-check the information presented. There is a nuance. It’s also a question of ethics. This is the essence of the profession!
Artificial intelligence experts are raising awareness about misinformation and ethical issues surrounding synthetic media. Gerard Golubovich too.
In retrospect, anyone who has looked closely at AI and its merits is aware of its limitations.
In the June 1, 2023 edition of Le Figaro, digital scientist Aurélie Jean rightly argues that “contrary to the claims of ChatGPT’s creator, the algorithm does not think.” For his part, computer scientist specializing in artificial intelligence ethics Timnit Gebru, director of DAIR and former Google ethicist, makes even more alarming observations: “It is not surprising that the field of AI is heading in a direction that promises unimaginable futures on the horizon at the same time distributing products that will harm marginalized groups in the near future.”
As for the philosopher and writer Eric Sadin, for him, “AIs speak not only for us, but also on our behalf.” We will realize that no matter the level of knowledge in AI, there is misinformation lurking. The trainer will focus on specific examples of deepfakes. They materialize when a person takes the image of someone and makes him say something that he did not say. This process is widely used to damage the image of politicians or bias judgments…
Such is the case with the American campaign, which shook the Internet when Donald Trump appeared in a series of photographs apparently taken with members of the black American community. These are fakes. In March 2018, American actor Jordan Peele called out the dangers that deepfakes and generative artificial intelligence could pose…
Regarding synthetic media and translation, in 1947 Norbert Wiener planned to create a universal machine translation program to promote “world peace.” In 2023, the HeyGen app will realize its dream.
In short, the journalism profession should not disappear with the advent of generative AI. However, he must keep up to date with the latest developments in this field in order to know how to protect his work and control the use of AI. That’s the whole point. In other areas too. The healthcare sector is also in great demand… To be continued.

Artificial Intelligence Problems
verbatim American computer scientist Fei Fei Li recalls a brilliant phrase written in the 70s: “Today’s definition of AI is a machine that can make a perfect chess move while the piece is on fire.” This sentence perfectly illustrates the limitations of AI. “In the next wave of AI research, if we want to create more useful machines, we need to get back to understanding context,” she concludes.
Definition by Jean-Louis Laurier in 1986: “AI begins where classical computing leaves off: any problem for which there is no known or reasonable algorithm to solve it a priori falls under AI.”
Definition by Yann Le Cunin, 2017 “The goal of artificial intelligence is to enable machines to perform tasks usually attributed to animals and humans.” it is a machine that can make the perfect chess move while the piece is on fire.” This sentence perfectly illustrates the limitations of AI. “In the next wave of AI research, if we want to create more useful machines, we need to get back to understanding context,” she concludes.
Definition by Jean-Louis Laurier in 1986: “AI begins where classical computing leaves off: any problem for which there is no known or reasonable algorithm to solve it a priori falls under AI.”
Definition by Yann Le Cunin, 2017: “The goal of artificial intelligence is to enable machines to perform tasks normally assigned to animals and humans.”

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