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: The regulatory framework for privacy issues worldwide is currently in flux and is likely to remain so for the foreseeable future. Practices regarding the collection, use, storage, transmission and security of personal information by companies operating over the internet have recently come under increased public scrutiny. Several U.S. states, including California, have passed comprehensive privacy legislation or are considering privacy legislation. In addition, the General Data Protection Regulation, or GDPR, that went into effect in the European Union in May 2018, requires companies to implement and remain compliant with regulations regarding the handling of personal data. Enforcement of GDPR regulations, and fines for non-compliance, continue to increase and a significant number of additional jurisdictions are expected to enact similar privacy regulations in the future. As additional jurisdictions enact privacy regulations and laws, we will experience increased compliance costs and uncertainty as to how such laws will be interpreted. Although we have invested, and expect to continue to invest, significant resources to comply with the GDPR and other privacy laws and regulations, the number and variety of regulations combined with our multi-product, multi-brand, global businesses, could nevertheless result in compliance failures. Failure to meet any of the requirements of these laws and regulations could result in significant penalties or legal liability, adverse publicity and/or damage to our reputation, which could negatively affect our business, results of operations and financial condition.
Assistant: