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 use artificial intelligence and machine learning in our business, including using artificial intelligence in our battery management systems to monitor the state of health of the battery and using machine learning to assist in developing new molecules and synthesis techniques to improve battery performance. As with many technological innovations, there are significant risks and challenges involved in maintaining and deploying these technologies. Artificial intelligence algorithms or training methodologies may be flawed. Datasets may be overbroad or insufficient and information generated by artificial intelligence may be illegal or harmful. There can be no assurance that the usage of such technologies will enhance our products or services or be beneficial to our business, including our efficiency or profitability. Additionally, artificial intelligence entails significant legal risks. The IP ownership and license rights of new technologies such as artificial intelligence and machine learning have not been fully addressed by U.S. courts, and there is uncertainty and ongoing litigation in different jurisdictions as to the degree and extent of protection warranted for artificial intelligence technologies and relevant system input and outputs. If we fail to obtain protection for the intellectual property rights concerning technologies developed using artificial intelligence or machine learning, or later have our intellectual property rights invalidated or otherwise diminished, our competitors may be able to take advantage of our research and development efforts to develop competing products, which could adversely affect our business, reputation, financial condition, or results of operations. Moreover, the use or adoption of artificial intelligence and machine learning in our technology may expose us to breach of a data or software license, website terms of service claims, claimed violations of privacy rights or other tort claims. The regulatory landscape surrounding artificial intelligence is also evolving, and the use of machine learning technologies may also become subject to regulation under new laws or new applications of existing laws. On October 30, 2023, the Biden administration issued an Executive Order to, among other things, establish extensive new standards for AI safety and security. Other jurisdictions may decide to adopt similar or more restrictive legislation that may render the use of such technologies challenging. These restrictions may make it harder for us to conduct our business using artificial intelligence, and violations of these laws and regulations could result in fines and penalties, criminal sanctions against us, our officers or our employees, prohibitions on the conduct of our business, and damage to our reputation.
Assistant: