Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: What are the main points of this science article?

Our lunar neighbor has inspired stories since the first humans looked up at the sky and saw its gray, cratered surface. Some observers saw among the craters the shape of a person's face, so stories refer to a mysterious "man in the Moon." Hungrier observers compared the craters to cheese and dreamed of an entire sphere made of delicious dairy products.

The Moon made its film debut in a 1902 black and white silent French film called "Le Voyage Dans la Lune" ("A Trip to the Moon"). And a year before astronauts walked on the Moon, "2001: A Space Odyssey" (1968) told the story of astronauts on an outpost on the Moon. Decades later, it is still widely regarded as one of the best science fiction movies ever made.
Response: The Moon has been inspiring stories for a long time, with people even seeing faces in its craters and comparing it to cheese. The French silent film "Le Voyage Dans la Lune" (1902) was the first to include the Moon, and "2001: A Space Odyssey" (1968) also featured the Moon. 

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.

Summarize the main points in the following overview of artificial intelligence (AI):

Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI involves the study of reasoning, knowledge representation, planning, learning, perception, motion and manipulation, and exhibiting intelligence.

The foundations of modern AI were established in the 1940s and 1950s by pioneers such as Alan Turing, Claude Shannon, and John McCarthy. AI research experienced major booms in the 1960s, 1980s, and again in the 2010s, driven by increased computational power, data availability, and theoretical understanding. Major AI techniques include machine learning, deep learning, reinforcement learning, fuzzy logic, evolutionary computation, and knowledge representation.  

AI already has widespread applications in areas like finance, healthcare, transportation, manufacturing, gaming, and security. Some ambitious goals of AI research include achieving human-level artificial general intelligence (AGI) and developing superintelligent AI systems that exceed human capabilities. Key ethical concerns around AI include privacy, bias, transparency of decision-making, and existential risk from advanced AI. The future impact of AI on society is a subject of intense debate.
user
Artificial intelligence (AI) involves simulating human intelligence processes by machines, with applications like expert systems, language processing, and computer vision. Modern AI foundations were laid in the 1940s-1950s, with major booms driven by increased computing power and data. Key AI techniques include machine learning, deep learning, and knowledge representation. AI is already widely used in fields like finance and healthcare. Major goals are achieving human-level general intelligence and superintelligent systems. Key concerns relate to privacy, bias, transparency, and risks of advanced AI.
assistant