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 operate in businesses that are highly dependent on information systems and technology. The costs related to cyber or other security threats or disruptions may not be fully insured or indemnified by other means. Cybersecurity has become a priority for regulators in the U.S. and around the world. Many jurisdictions in which we or our portfolio companies may operate have laws and regulations relating to data privacy, cybersecurity and protection of personal information, and many of these laws and regulations can be inconsistent across jurisdictions and are subject to evolving and, at times, conflicting interpretations. Government officials and regulators, privacy advocates and class action attorneys are increasingly scrutinizing how companies collect, process, use, store, share and transmit personal data. This scrutiny can result in new and shifting interpretations of existing laws, thereby further impacting our business. For example, the General Data Protection Regulation in the European Economic Area and the United Kingdom continues to be interpreted by European and UK courts in novel ways, leading to shifting requirements, country specific differences in application and uncertain enforcement priorities. More recently, new and emerging state laws in the United States on privacy, data and related technologies, such as the California Consumer Privacy Act and the California Privacy Rights Act, as well as industry self-regulatory codes and regulatory requirements, create new privacy
Assistant: