Artificial intelligence (AI) is one of the major trending innovations in the present age. Despite all its benefits, there are legal issues end users can experience. These issues arise when the technology is used in a manner that results in the violation of laws, leading to litigation. AI legal issues include unauthorized use of AI tools, information misrepresentation, using AI tools for unintended purposes, and data leaks. End users must understand everything about AI legal issues. This is because they can lead to several negative consequences, including fines, damage to an enterprise’s reputation, reduced public trust, and loss of stakeholders’ investment. By dealing with AI legal issues effectively, enterprises can enjoy better outcomes. Below is the detailed information about the scope of AI legal issues.
Intellectual Property Issues
It may be intricate when it comes to knowing the ownership of text or code that ChatGPT generates. The terms of service state that the input provider is responsible for the output. However, there may be complexities sometimes if the input provider adds legally protected data to the output, which is against AI compliance practices. AI compliance rules may be breached if generative AI offers written material from copyrighted property. This is a copyright issue that has legal consequences and can cause potential damage to the enterprise’s reputation. So, it’s important to talk to a professional AI attorney for clarity on intellectual property laws to avoid an unnecessary risk of disputes.
Data and Security Breaches
It’s important to be careful about the information you include in ChatGPT. This will help reduce the risk of security breaches and data leakage. Any sensitive data included will be part of the software’s data model. With this, the information is accessible to others via relevant queries. Doing this is a violation of the data retention policy, which has negative legal consequences.
Open-source License Compliance Issues
An organization may face legal issues if generative AI uses open-source libraries and feeds products with the code. This is an act that can potentially lead to the breaching of Open Source Software (OSS) licenses, which has legal consequences. So, it’s important that enterprises review and document AI training data sources efficiently in order to deal with AI open-source license compliance. In addition, organizations must ensure proper attribution, implement optimal tracking systems, and get proper legal guidance from an AI attorney.
Confidentiality and Liability Issues
It is against the ethics of organizations to disclose confidential details trusted to them by their customers or partners. This is a breach of contract that has legal implications. When the security of the ChatGPT is affected, it can lead to the exposure of confidential details, creating risks that can have legal consequences and affect the enterprise’s reputation. Moreover, it can have negative outcomes if inexperienced staff who are trusted with ChatGPT use the software to engage in shadow AI or shadow IT practices. So, it’s important that organizations put robust security measures in place and implement policies on user training and data handling. You can consult an AI attorney for clarity on compliance to reduce the risk of liabilities and protect confidential details.
