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: In addition to our offices in the United States, we have a presence in the United Kingdom, Switzerland, Hong Kong, China, Singapore, Ireland, and Canada, and conduct business in several other countries. We expect to continue to expand globally and our international revenues may account for an increasing portion of our revenues in the future. Our international operations carry special financial, business and legal risks, including cultural and language differences; employment laws and related factors that could result in lower utilization, higher staffing costs, and cyclical fluctuations of utilization and revenues; currency fluctuations that adversely affect our financial position and operating results; burdensome regulatory requirements and other barriers to conducting business; tariffs/trade disputes and other trade barriers including the United Kingdom’s decision to leave the European Union; geopolitical risks that could result in an adverse impact to our clients and Exponent, such as cyberattacks; managing the risks associated with engagements with foreign officials and governmental agencies, including the risks arising from the United States Foreign Corrupt Practices Act and the United Kingdom Bribery Act of 2010; managing the risks associated with global privacy and data security laws and regulations including the General Data Protection Regulation in Europe; greater difficulties in managing and staffing foreign operations; successful entry and execution in new markets; restrictions on the repatriation of earnings; potentially adverse tax consequences; other impending legislation that could add additional risks to the business; and the COVID-19 pandemic and resulting restrictions on business activity, which vary significantly by region.
Assistant: