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 are required to comply with increasingly complex and changing data privacy regulations both in the United States and beyond that regulate the collection, use, security, processing, and transfer of personal data, including particularly the transfer of personal data between or among countries. Many of these regulations also grant rights to individuals. Many foreign data privacy regulations (including, without limitation, GDPR in the European Union, UK GDPR, Brazil's General Data Protection Law, LGPD, and the Personal Information Protection and Electronic Documents Act in Canada) and certain state laws and regulations (including California's CCPA) impose requirements beyond those enacted under United States federal law including, in some instances, private rights of action. For example, the EU GDPR imposes more stringent data protection requirements, including a broader scope of protected data, restrictions on cross-border transfers of personal data and more onerous breach reporting requirements, and the EU GDPR imposes greater penalties for non-compliance than the federal data protection laws in the United States. We may also face audits or investigations by one or more domestic or foreign government agencies relating to our compliance with these regulations. An adverse outcome under any such investigation or audit could subject us to fines or other penalties. We also have contractual obligations to our customers related to the protection of personal data and compliance with privacy laws. The foregoing or other circumstances related to our collection, use, and transfer of personal data could cause a loss of reputation in the market and/or adversely affect our business and financial position.
Assistant: