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AI, is a theoretical form of AI used to describe a certain mindset of AI development. Strong AI aims to create intelligent machines that are indistinguishable from the human mind. But just like a child, the AI machine would have to learn through input and experiences, strong back drink progressing and advancing its abilities over time.
Strong AI systems cannot even be developed. Originally known as the Imitation Game, the test evaluates if a machine’s behavior can be distinguished from a human. The Turing Test introduced general acceptance around the idea of machine intelligence. However, the original Turing Test only tests for one skill set — text output or chess as examples. Strong AI needs to perform a variety of tasks equally well, leading to the development of the Extended Turing Test. This test evaluates textual, visual, and auditory performance of the AI and compares it to human-generated output.
This version is used in the famous Loebner Prize competition, where a human judge guesses whether the output was created by a human or a computer. The Chinese Room Argument was created by John Searle in 1980. In his paper, he discusses the definition of understanding and thinking, asserting that computers would never be able to do this. Imagine a person, who does not speak Chinese, sits in a closed room. In the room, there is a book with Chinese language rules, phrases and instructions. Another person, who is fluent in Chinese, passes notes written in Chinese into the room. With the help of the language phrasebook, the person inside the room can select the appropriate response and pass it back to the Chinese speaker.
Searle argues that Strong AI would require an actual mind to have consciousness or understanding. Weak AI, also known as narrow AI, focuses on performing a specific task, such as answering questions based on user input or playing chess. It can perform one type of task, but not both, whereas Strong AI can perform a variety of functions, eventually teaching itself to solve for new problems. While there are no clear examples of strong artificial intelligence, the field of AI is rapidly innovating. This type of AI surpasses strong AI in human intelligence and ability.
Cybersecurity: Artificial intelligence will take over more roles in organizations’ cybersecurity measures, including breach detection, monitoring, threat intelligence, incident response, and risk analysis. Entertainment and content creation: Computer science programs are already getting better and better at producing content, whether it is copywriting, poetry, video games, or even movies. OpenAI’s GBT-3 text generation AI app is already creating content that is almost impossible to distinguish from copy that was written by humans. Behavioral recognition and prediction: Prediction algorithms will make AI stronger, ranging from applications in weather and stock market predictions to, even more interesting, predictions of human behavior. This also raises the questions around implicit biases and ethical AI.
