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 United States, the European Union, and other countries in which we operate are increasingly adopting or revising privacy, information security, and data protection laws and regulations that could have a significant impact on our current and planned privacy, data protection, and information security-related practices, our collection, use, sharing, retention, and safeguarding of consumer and/or employee information, and some of our current or planned business activities. In the United States, these include rules and regulations promulgated under the authority of the FTC, the Health Insurance Portability and Accountability Act of 1996, federal and state labor and employment laws, state data breach notification laws, and state privacy laws such as the California Consumer Privacy Act of 2018. Many of these laws and regulations provide consumers and employees with a private right of action if a covered company suffers a data breach related to a failure to implement reasonable data security measures. In the European Union, this includes the General Data Protection Regulation. The legal framework around privacy issues is rapidly evolving, as various federal and state government bodies are considering adopting new privacy laws and regulations. These laws and regulations could result in significant limitations on or changes to the ways in which we can collect, use, host, store, or transmit personal information and other data. Compliance with privacy, data protection, and information security laws to which we are subject could result in additional costs, and our failure to comply with such laws could result in potentially significant regulatory investigations or government actions, penalties or remediation, and other costs, as well as adverse publicity, loss of sales and profits, and an increase in fees payable to third parties. Each of these implications could materially adversely affect our revenues, results of operations, business, and financial condition.
Assistant: