Media Party New York

It’s becoming more difficult to tell the difference between an AI generated image and a real photo just by looking at it. Deepfake detection tools have been used in the past, but with detection you are playing from behind.  Not only in keeping up with the detection technology, but also because the content has often already been distributed. In some cases, like the AI generated image of an explosion at the Pentagon, real damage is done long before detection results can be confirmed and disseminated. A more proactive way to combat the threat of deepfakes is to make sure the content you are creating, distributing, and consuming is traceable to its origin. Content Credentials can clearly, and securely indicate to a consumer whether an asset was created with a camera or AI. Content Credentials are a new kind of secure, tamper evident metadata added to digital assets that reveal its provenance including its origin. They show what edits have occurred since its origin, and communicate attribution information and how it was published. In this workshop, Tim Murphy, from Pixelstream, will demonstrate how Content Credentials work and how your organization could leverage this technology to protect your assets, establish trust with your readers, and make deepfakes a thing of the past. We will use WordPress as an example platform that this can be deployed on, but it is applicable to most other website environments as well.

Introduction to AI in Political Scenario Simulation: Overview of how AI tools like GPT-4, Claude, and Character AI can be utilized to simulate future political scenarios. Discussion on the application of these simulations in understanding potential election outcomes, voter behavior, and policy impacts. Simulating Election Scenarios with AI: Detailed guide on using AI to create realistic simulations of electoral campaigns, debates, and voter interactions. How to model different political strategies and predict their effectiveness using AI-driven simulations. Analyzing Political Outcomes: Techniques for using AI to analyze potential election outcomes based on various scenarios, including changes in public opinion, policy proposals, and media coverage. Exploring how AI can help identify key factors that influence election results and voter turnout. Ethical Considerations in Political AI Simulations: Addressing the ethical challenges of using AI in political contexts, particularly in terms of bias, transparency, and the potential influence on public perception. Strategies for ensuring responsible use of AI in political scenario simulations. Dynamic: Interactive Workshop: Participants will engage in hands-on activities, using AI tools to simulate political scenarios and predict potential election outcomes. Group Exercises: Small teams will work together to create and refine different political scenarios, testing their impact using AI simulations. Live Demonstrations: Real-time demonstrations of AI-driven political scenario simulations, showcasing the capabilities and limitations of these tools. Educational Objectives: Learning to Use AI Tools: Participants will gain practical skills in using AI tools like GPT-4, Claude, and Character AI to simulate political scenarios. Understanding Political Impact: The workshop will help participants understand how AI simulations can be applied to analyze and predict political events and election outcomes. Ethical Awareness: The session will also focus on the ethical implications of using AI in political contexts, encouraging responsible and informed use of these technologies.