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: The regulatory framework around the development and use of machine learning, artificial intelligence and automated decision making is evolving. Many federal, state and foreign government bodies and agencies have introduced, and are currently considering, additional laws and regulations related to the development and integration of artificial intelligence (“AI”), machine learning, and additional emerging data technologies while mitigating or controlling for bias and discrimination in the context of AI and machine learning. For example, in the United States, an executive order was issued in October 2023 on the Safe, Secure and Trustworthy Development and Use of AI, emphasizing the need for transparency, accountability and fairness in the development and use of AI. The order seeks to balance innovation with addressing risks associated with AI by providing eight guiding principles and priorities, such as ensuring that consumers are protected from fraud, discrimination and privacy risks related to AI. Legislation has also been promulgated on the state level. For example, the California Privacy Protection Agency is currently in the process of finalizing regulations under the CCPA regarding the use of automated decision making. In addition, in Europe the European Commission proposed a regulation seeking to establish a comprehensive, risk-based governance framework for AI in the EU market, the EU AI Act, which was politically agreed to in December 2023. The EU AI Act is expected to enter into force in 2024, and the majority of the substantive requirements will apply two years later. It is intended to apply to companies that develop, use and/or provide AI in the EU and includes requirements around transparency, conformity assessments and monitoring, risk assessments, human oversight, security and accuracy and introduces significant fines for noncompliance. There are also specific rules on the use of automated decision making under the GDPR that provide the data subject the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her. Additionally, the existence of automated decision making must be disclosed to the data subject with a meaningful explanation of the logic used in such decision making in certain circumstances and safeguards must be implemented to safeguard individual rights, including the right to obtain human intervention and to contest any decision. If passed, we may incur additional expenses and costs associated with complying with such laws, as well as face heightened potential liability if we are unable to comply with these laws.
Assistant: