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: Our employees, contractors we use, and other third parties with whom we have relationships may make inadvertent errors, or fall prey to social engineering attacks or other fraud schemes, that could subject us to financial losses, claims, or enforcement actions. These types of errors could include, but are not limited to, mistakes in executing, recording, or reporting transactions we enter into for ourselves or with respect to assets we manage for others, or mistakes related to settling payment or funding obligations, including with respect to wire transfers. Although we have policies and procedures in place that seek to mitigate these risks, including risks related to wire transfers, we have experienced fraudulent and erroneous activity in our business operations and have incurred financial losses related to such activity. Errors in the implementation of information technology systems, compliance systems and procedures, or other operational systems and procedures could also interrupt our business or subject us to financial losses, claims, or enforcement actions. Errors could also result in the inadvertent disclosure of mortgage-borrower, HEI-customer, or consumer non-public personal information. Inadvertent errors expose us to the risk of material losses. The risk of errors may be greater for business activities that are new for us or have non-standardized terms, for areas of our business that we have rapidly expanded or are in the process of expanding, or for areas of our business that rely on new employees or on third parties with whom we have only recently established relationships. Further discussion is set forth in the risk factors titled “Maintaining information security and complying with data privacy laws and regulations are important to our business and a cybersecurity or data breach, or a violation of data privacy laws, could result in serious harm to our reputation and have a material adverse impact on our business and financial results” and “Our technology infrastructure and systems are important and any significant disruption or breach of the security of this infrastructure or these systems could have an adverse effect on our business. We also rely on technology infrastructure and systems of third parties who provide services to us and with whom we transact business.”
Assistant: