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: In short, what does this article say Abyssinian ground hornbills typically eat in their natural habitat?

Primarily carnivores, Abyssinian ground hornbills eat reptiles such as cobras, tortoises and lizards, as well as mammals like hares and mongooses, and insects and arachnids. Occasionally they will scavenge for carrion to supplement their diet, as well as consume seeds and fruit. Abyssinian ground hornbills will travel up to seven miles (11 kilometers) each day in search of food, overtaking and consuming prey they encounter. These animals have been observed following ungulate herds and forest fires to feed on prey fleeing disturbances.
At the Smithsonian's National Zoo, Abyssinian ground hornbills are given Nebraska Brand Feline Diet, mice, mealworms and crickets.
Response: Abyssinian ground hornbills typically eat reptiles, mammals, and insects as they are carnivores, but they occasionally eat carrion, seeds, and fruit.  

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 key ideas expressed in the following article discussing the potential impacts of automatic text summarization systems:

The rise of automatic text summarization systems powered by advanced natural language processing has sparked excitement about potential efficiency gains, but also concerns over misinformation risks, job displacement, and existential threats of advanced AI systems superseding human cognitive capabilities.

On the positive side, high-quality summarization tools promise immense productivity benefits in research, media, business, law, and any field that requires digesting large volumes of information. By rapidly surfacing key insights from text sources, professionals could work exponentially faster.

However, there are also risks that poor summarization models could misrepresent information and propagate misinformation and biases. If not developed responsibly, such systems could perpetuate harm through subtly skewing how knowledge is rendered. There are also ethical questions around potentially displacing human professionals and job roles centered around research, analysis, and communication.

Moreover, summarization systems may prove to be an early harbinger of advanced AI capabilities exceeding human cognition across a broad domain. As systems become skilled at consuming, comprehending, and cogently summarizing complex concepts, they may soon outpace human aptitude in areas ranging from legal research to corporate due diligence to scientific discovery.

As summarization systems become ubiquitous, we must vigilantly monitor for unintended impacts, whether through errors, biases, or gradual obsolescence of roles that have historically required human-level reasoning and communication skills.
user
The article discusses the potential impacts and concerns surrounding the rise of automatic text summarization systems powered by advanced natural language processing. On the positive side, high-quality summarization tools promise immense productivity gains by rapidly surfacing key insights from large text sources across fields. However, risks include the propagation of misinformation and biases if models are poor, ethical concerns over job displacement in roles requiring research and communication, and the existential threat of advanced AI systems outpacing human cognition across domains. As these systems become ubiquitous, vigilant monitoring is needed to address unintended impacts from errors, biases, or obsolescence of roles requiring human reasoning.
assistant