System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: We use computers in substantially all aspects of our business operations. We also use mobile devices, social networking and other online activities to connect with our team members and our customers. We rely heavily on various proprietary and third-party information systems. Our reputation for the secure handling of customer and other sensitive information is critical to the success of our business. Like other large, global corporations, we are potentially subject to a range of cyber attacks, including but not limited to state-sponsored cyber-attacks, industrial espionage, insider threats, computer denial-of-service attacks, computer viruses, ransomware and other malware, data leakage and compromise, wire fraud, phishing incidents and other cyber incidents. Further, bad actors around the world use increasingly sophisticated methods, including the use of AI, to engage in illegal activities involving the theft and misuse of personal information, confidential information, and intellectual property. In any cyber incident that we may experience, our ability to detect an incident, incident response capabilities, business continuity procedures and disaster recovery planning may not be entirely effective as our information technology and network infrastructure may still be vulnerable to attacks or breaches due to employee error, malfeasance, computer viruses, power outages, natural disasters, acts of terrorism, breaches with respect to third-party systems or vendors or other disruptions. A cybersecurity incident and breach of our information systems could lead to theft, destruction, loss of life, damage to property, environmental issues, misappropriation or release of sensitive and/or confidential information or intellectual property, which could result in business disruption, negative publicity, violation of privacy laws, loss of customers, brand damage, adverse financial and operational results, and potential litigation. Although we maintain insurance coverage for various cybersecurity risks, there is no guarantee that all costs or losses incurred will be fully insured.
Assistant: