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 have implemented compliance controls, training, policies and procedures designed to prevent and detect reckless or criminal acts from being committed by our employees, agents or business partners that would violate the laws of the jurisdictions in which we operate, including laws governing payments to government officials, such as the U.S. Foreign Corrupt Practices Act (“FCPA”), the protection of export controlled or classified information, such as ITAR, false claims, procurement integrity, cost accounting and billing, competition, information security and data privacy and the terms of our contracts. This risk of improper conduct may increase as we continue to grow and expand our operations. We cannot ensure, however, that our controls, training, policies and procedures will prevent or detect all such reckless or criminal acts, and we have been adversely impacted by such acts in the past, which have been immaterial in nature. If not prevented, such reckless or criminal acts could subject us to civil or criminal investigations, monetary and non-monetary penalties and suspension and debarment by the U.S. government and could have a material adverse effect on our ability to conduct business, our results of operations and our reputation. In addition, misconduct involving data security lapses resulting in the compromise of personal information or the improper use of our customer’s sensitive or classified information could result in remediation costs, regulatory sanctions against us and serious harm to our reputation and could adversely impact our ability to continue to contract with the U.S. government.
Assistant: