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 manage, utilize, and store sensitive or confidential client or employee data, including personal data and protected health information. As a result, we are subject to numerous laws and regulations designed to protect this information, such as the U.S. federal and state laws governing the protection of health or other personally identifiable information, including the Health Insurance Portability and Accountability Act, and international laws such as the European Union General Data Protection Regulation. In addition, many states, U.S. federal governmental authorities and non-U.S. jurisdictions have adopted, proposed, or are considering adopting or proposing, additional data security and/or data privacy statutes or regulations such as the California Consumer Privacy Act. These laws and regulations are increasing in complexity and number. If any person, including any of our employees, negligently disregards or intentionally breaches our established controls with respect to client or employee data, or otherwise mismanages or misappropriates that data, we could be subject to significant monetary damages, regulatory enforcement actions, fines, and/or criminal prosecution. In addition, unauthorized disclosure of sensitive or confidential client or employee data, whether through systems failure, employee negligence, fraud, or misappropriation, could damage our reputation and cause us to lose clients and their related revenue in the future. Our remote working arrangements due to the COVID-19 pandemic may increase the risks associated with protecting client and employee data.
Assistant: