Test de Turing

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The Turing Test is a concept introduced by British mathematician Alan Turing in 1950. It is a measure of a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. The test involves a human evaluator who engages in natural language conversations with another human and a machine designed to generate human-like responses. The evaluator knows that one of the two partners in conversation is a machine, and if the evaluator cannot reliably tell the machine from the human, the machine is said to have passed the test. While influential in the field of intelligence artificielle[1], the Turing Test has been the subject of various debates and criticisms regarding its effectiveness and interpretation. Its applications and variations have been explored in AI research and technologie[2], with examples ranging from early programs like ELIZA and PARRY to modern chatbots and AI models.

Définitions des termes
1. intelligence artificielle.
1 Artificial Intelligence (AI) refers to the field of computer science that aims to create systems capable of performing tasks that would normally require human intelligence. These tasks include reasoning, learning, planning, perception, and language understanding. AI draws from different fields including psychology, linguistics, philosophy, and neuroscience. The field is prominent in developing machine learning models and natural language processing systems. It also plays a significant role in creating virtual assistants and affective computing systems. AI applications extend across various sectors including healthcare, industry, government, and education. Despite its benefits, AI also raises ethical and societal concerns, necessitating regulatory policies. AI continues to evolve with advanced techniques such as deep learning and generative AI, offering new possibilities in various industries.
2 Artificial Intelligence, commonly known as AI, is a field of computer science dedicated to creating intelligent machines that perform tasks typically requiring human intellect. These tasks include problem-solving, recognizing speech, understanding natural language, and making decisions. AI is categorised into two types: narrow AI, which is designed to perform a specific task, like voice recognition, and general AI, which can perform any intellectual tasks a human being can do. It's a continuously evolving technology that draws from various fields including computer science, mathematics, psychology, linguistics, and neuroscience. The core concepts of AI include reasoning, knowledge representation, planning, natural language processing, and perception. AI has wide-ranging applications across numerous sectors, from healthcare and gaming to military and creativity, and its ethical considerations and challenges are pivotal to its development and implementation.
2. technologie. La technologie, dérivée des mots grecs signifiant artisanat et connaissance, est un terme général qui désigne les outils, les machines et les systèmes mis au point par l'homme pour résoudre des problèmes ou atteindre des objectifs. Née avec des outils primitifs comme les haches de pierre et la découverte du feu, la technologie a évolué de manière significative tout au long de l'histoire de l'humanité. Elle a joué un rôle déterminant à différentes époques, depuis l'invention de la roue et des systèmes d'irrigation avancés dans les civilisations anciennes jusqu'à la naissance des universités et de la presse à imprimer au cours des périodes médiévale et de la Renaissance. La révolution industrielle du XVIIIe siècle a marqué un tournant important dans la production de masse et l'innovation, donnant naissance aux technologies modernes telles que l'électricité, l'automobile et les plates-formes de communication numérique. Aujourd'hui, la technologie fait partie intégrante de divers aspects de la vie et de la société, stimulant la croissance économique et les changements sociétaux, tout en suscitant des préoccupations en matière de sécurité, de respect de la vie privée et d'incidences sur l'environnement. L'avenir de la technologie devrait apporter encore plus de progrès, avec l'essor de l'intelligence artificielle qui devrait avoir des implications significatives sur le marché du travail.
Test de Turing (Wikipedia)

Les Test de Turing, originally called the imitation game par Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic).

The "standard interpretation" of the Turing test, in which player C, the interrogator, is given the task of trying to determine which player – A or B – is a computer and which is a human. The interrogator is limited to using the responses to written questions to make the determination.

The test was introduced by Turing in his 1950 paper "Computing Machinery and Intelligence" while working at the University of Manchester. It opens with the words: "I propose to consider the question, 'Can machines think?'" Because "thinking" is difficult to define, Turing chooses to "replace the question by another, which is closely related to it and is expressed in relatively unambiguous words." Turing describes the new form of the problem in terms of a three-person game called the "imitation game", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: "Are there imaginable digital computers which would do well in the imitation game?" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that "machines can think".

Since Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a "mind", "understanding", or "consciousness", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness. Searle goes on to dispute the notion that the mind (mental cognition) can exist outside of the body, a belief known as Cartesian dualism.

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