Nina Brown & Jared Schroeder, experts in media law, discuss the legal implications of generative AI in newsrooms. They delve into copyright issues, fair use, and authorship. They highlight challenges and responsibilities in using AI, including misinformation. The podcast explores the current regulatory landscape and the impact of AI in personal life. Educators integrating generative AI in the classroom are also discussed.
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Quick takeaways
Integrating generative AI with human input is essential to ensure responsible and reliable content creation in newsrooms.
Existing legal frameworks can be adapted to address the challenges posed by AI technology, with caution against hasty legislation.
Comprehensive data privacy laws are necessary to mitigate the privacy risks associated with generative AI and protect individuals' personal information.
Deep dives
The Legal Implications of Using Generative AI in Newsrooms
The podcast episode explores the legal implications of using generative AI in newsrooms. Two legal experts, Nina Brown and Janet Schroeder, discuss the current legal landscape and the challenges posed by generative AI. They highlight that large language models, such as chat GPT, are considered tools rather than copyrightable works themselves. The discussion emphasizes the importance of integrating generative AI with human input and not relying solely on AI-generated content. The experts also address concerns about intellectual property and copyright infringement, examining arguments for fair use in the use of training data for large language models. Overall, the episode underscores the need for newsrooms to exercise caution and human oversight when using generative AI and highlights the ongoing legal debates surrounding AI and copyright issues.
The Evolution of the Regulatory Landscape for AI
The podcast discusses the evolving regulatory landscape for AI. While the speakers express caution about rushing to create new laws specifically for AI, they note that existing legal frameworks can be adapted to address the challenges posed by AI technology. They reference the EU's Artificial Intelligence Act as an example of proactive legislation focused on preventing harm caused by AI systems. The experts also mention state-level initiatives in California, which has a track record of proactive regulatory measures. However, they caution against hasty legislation and stress the importance of understanding where the gaps in existing laws are before implementing new regulations. Overall, the episode suggests that existing laws and frameworks can be leveraged to address legal and ethical concerns related to AI.
Privacy Concerns and Legal Implications
The podcast explores privacy concerns associated with generative AI and large language models. The discussion revolves around the potential risks of data leakage and the unknown use of personal data by AI systems. While acknowledging the existing lack of federal data privacy laws in the US, the speakers highlight the importance of understanding terms of service agreements and being cautious when inputting confidential or sensitive information into AI tools. They also draw attention to the broader issue of data privacy and the need for comprehensive legislation to protect individuals' privacy rights. The episode emphasizes the need for transparency and accountability in how AI systems handle personal data and urges the development of robust data privacy laws to mitigate privacy risks associated with AI technology.
Liabilities and responsibility when using AI generative tools
When using an AI generative tool, the user is giving it a prompt and allowing it to make decisions on executing the task. The more work the user puts into making the output their own, the stronger the argument that they can be considered the author. However, the Copyright Office maintains that only humans can be considered authors. Newsrooms using generative AI tools are liable for the content generated and should expect responsibility for any misinformation or false information produced. This includes potential liabilities such as defamation and privacy concerns.
Balancing legal risks and ethical considerations
Newsrooms and journalists should follow their organization's values when incorporating AI tools into their workflows. Accuracy and transparency should be prioritized, with careful editing and review of AI-created illustrations, images, and content. The information fed into AI tools should be scrutinized, as it may be saved and used by third parties. News organizations should have AI use policies in place and consider liability coverage under media insurance. It is important to use AI as a tool aligned with the organization's values and ethical considerations, rather than treating it as a solution to all problems.
Nina Brown and Jared Schroeder join Nikita Roy to break down the intellectual property implications of generative AI models and explore the legal implications of using generative AI in newsrooms.
They examine the risks and liabilities associated with Generative AI outputs and historical legal precedents that could shape Generative AI regulations.
Nina Brown is an award-winning assistant professor at the Newhouse School of Public Communications at Syracuse University. She researches the legal issues with deep fakes, content regulation on social media, and emerging issues related to works created by artificial intelligence. She holds a J.D. from Cornell Law School and practiced law for several years before joining the Newhouse faculty.
Jared Schroeder is an associate professor of media law at the University of Missouri School of Journalism. His research focuses on freedom of expression and emerging technologies, particularly in press rights in the networked AI era. He is the author of three books, including his upcoming book, The Structure of Ideas: Mapping a New Theory of Free Expression in the AI Era, published by Stanford University Press.
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