BROD with a panel at Up to GATE: Technology, Big Data & Beyond conference

The panel will focus on the development and application of artificial intelligence (AI) tools and large language models (LLMs) for detecting and mitigating misinformation and disinformation. It will explore the latest advancements in AI technologies that enable rapid identification of misleading content, the ethical implications of AI use in this context, and the importance of interdisciplinary collaboration among stakeholders to enhance media literacy and critical thinking. Additionally, the panel will address the potential risks associated with AI-generated misinformation and the need for transparent policies to safeguard against misuse, ultimately aiming to foster a more informed society through effective AI-driven solutions.

Panel Objectives:

• Explore the concept of policy prototyping: Discuss how policy prototyping can be used to test and refine regulatory approaches before they are implemented on a larger scale.
• Examine experimental regulation: Analyse the benefits and challenges of experimental regulation, including the use of regulatory sandboxes to foster innovation while ensuring compliance and safety.
• Discuss regulatory sandboxes: Highlight the role of regulatory sandboxes in providing a controlled environment for testing new technologies and business models.
• Audit and governance of AI systems: Address the importance of auditing AI systems and how experimental environments can support this activity to ensure transparency, accountability, and fairness in their deployment.
• Create evidence-based regulation: Emphasise the role of testing and experimentation in developing regulations that are informed by empirical evidence and real-world data.
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