"Preparing for the Next Frontier of AI: Understanding and Navigating Legal Implications in 2023 and Beyond"
"Preparing for the Next Frontier of AI: Understanding and Navigating Legal Implications in 2023 and Beyond"
Article Written By Deidra Sarego
Introduction
I recently sat down with Jeremy Schaper, CTO of BlueStar, to ask about the rapid advancement of artificial intelligence (AI) and its legal implications. Jeremy shared that with the current global economic climate and the proliferation of unconventional data sources such as ESG (environmental, social, and corporate governance), ChatGPT, and Chatter365, legal disputes related to AI are likely to become more prevalent. In response, AI-powered software companies and service providers like BlueStar, led by CTO Jeremy Schaper, are making efforts to make their technology more accessible and user-friendly. This sets the stage for wider adoption of AI-powered software and services which are designed to help legal professionals quickly and accurately analyze large volumes of data, identify key patterns, trends, and insights that can help them win their cases.
According to Schaper, an expert in the field of AI and Court Appointed Special Master for EDD and Social Media, there will be a number of legal disputes involving AI-generated content or AI-related issues in 2023 and beyond. “There are a number of ways in which legal disputes may arise involving AI-generated content or AI-related issues,” says Schaper. “Some possible examples include disputes over intellectual property rights for works created by AI, liability for harm caused by AI, discrimination resulting from AI-based decision-making, and privacy violations involving the collection, processing, or analysis of personal data by AI systems.”
As AI becomes more widely adopted in various industries and aspects of society, it's important for individuals and organizations to be aware of the potential legal implications of their use of AI. Traditional document-based eDiscovery methods have shifted to modern eDiscovery which can handle a wider variety of data types. This includes utilizing tools like AI and machine learning to help identify, classify, and analyze large amounts of data from these new sources more efficiently and effectively. Legal professionals are also starting to utilize direct connectors and data visualization platforms that are specifically designed for these new data types. These tools allow for easy access, extraction, and analysis of information from these non-traditional sources. For example, In a litigation case, AI algorithms can be used to scan, analyze and classify communications, conversations, and data from messaging apps such as WhatsApp, Teams, and Slack to identify potential key witnesses, evidence, or even potentially illegal activities. This information can then be used to shape legal strategy, strengthen arguments, and ultimately increase the chances of success in a case.
It will be important for individuals and organizations to consider the legal implications of their use of AI and to take steps to mitigate any potential legal risks. Experts like Schaper and the team at BlueStar can provide valuable guidance on navigating the legal landscape related to AI and help to ensure that your organization is prepared for any legal issues that may arise as well as make use of BlueStar's advanced AI technologies in their eDiscovery and data analysis process. By taking steps to understand the potential legal implications of using AI now, organizations can avoid costly mistakes in the future.
Conclusion
In conclusion, as Artificial Intelligence continues to advance and become more widely adopted, legal issues related to its use will become increasingly prevalent. It is important for individuals and organizations to be aware of the potential legal implications of their use of AI in order to mitigate any potential risks. Experts like Schaper and BlueStar can provide guidance on navigating the legal landscape related to AI as well as provide access to advanced AI technologies that can help make the eDiscovery process more efficient. With this knowledge in hand, organizations can be better prepared for any future legal disputes involving AI-generated content or AI-related issues that may arise in 2023 and beyond.