The Role Of Ai In The 2024 Elections Youtube

Bonisiwe Shabane
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the role of ai in the 2024 elections youtube

The last decade taught us painful lessons about how social media can reshape democracy: misinformation spreads faster than truth, online communities harden into echo chambers, and political divisions deepen as polarization grows. Now, another wave of technology is transforming how voters learn about elections—only faster, at scale, and with far less visibility. Large language models (LLMs) like ChatGPT, Claude, and Gemini, among others, are becoming the new vessels (and sometimes, arbiters) of political information. Our research suggests their influence is already rippling through our democracy. LLMs are being adopted at a pace that makes social media uptake look slow. At the same time, traffic to traditional news and search sites has declined.

As the 2026 midterms near, more than half of Americans now have access to AI, which can be used to gather information about candidates, issues, and elections. Meanwhile, researchers and firms are exploring the use of AI to simulate polling results or to understand how to synthesize voter opinions. These models may appear neutral—politically unbiased, and merely summarizing facts from different sources found in their training data or on the internet. At the same time, they operate as black boxes, designed and trained in ways users can’t see. Researchers are actively trying to unravel the question of whose opinions LLMs reflect. Given their immense power, prevalence, and ability to “personalize” information, these models have the potential to shape what voters believe about candidates, issues, and elections as a whole.

And we don’t yet know the extent of that influence. Creating a healthy digital civic infrastructure ecosystem means not just deploying technology for the sake of efficiency, but thoughtfully designing tools built to enhance democratic engagement from connection to action. Last week’s leak of the U.S. Department of Education’s proposed “Compact for Academic Excellence in Higher Education” drew intense reactions across academia. Critics call it government overreach threatening free expression, while supporters see a chance for reform and renewed trust between universities and policymakers. Danielle Allen, James Bryant Conant University Professor at Harvard University, director of the Democratic Knowledge Project and the Allen Lab for Democracy Renovation, weighs in.

Amid rising illiberalism, Danielle Allen urges a new agenda to renew democracy by reorienting institutions, policymaking, and civil society around the intentional sharing of power. Creating a healthy digital civic infrastructure ecosystem means not just deploying technology for the sake of efficiency, but thoughtfully designing tools built to enhance democratic engagement from connection to action. Public engagement has long been too time-consuming and costly for governments to sustain, but AI offers tools to make participation more systematic and impactful. Our new Reboot Democracy Workshop Series replaces lectures with hands-on sessions that teach the practical “how-to’s” of AI-enhanced engagement. Together with leading practitioners and partners at InnovateUS and the Allen Lab at Harvard, we’ll explore how AI can help institutions tap the collective intelligence of our communities more efficiently and effectively. Controversial uses of Artificial Intelligence (AI) in elections have made headlines globally.

Whether it’s fully AI generated mayoral contenders, incarcerated politicians using AI to hold speeches from prison, or deepfakes used to falsely incriminate candidates, it’s clear that the technology is here to stay. Yet, these viral stories only show one side of the picture. Beyond the headlines, AI is also starting to be used in the quieter parts of elections, the day-to-day work of electoral management - from information provision and data analysis to planning, administration and oversight. How Electoral Management Bodies (EMBs) choose to design, deploy and regulate these tools will shape key aspects of electoral processes far-reaching implications for trust in public institutions and democratic systems. The International Institute for Democracy and Electoral Assistance (IDEA) has been seizing this critical juncture to open dialogues among EMBs on how the potential of AI to strengthen democracy can be realized, while avoiding... Over the past year, International IDEA has convened EMBs and civil society organizations (CSOs) at regional workshops across the globe to advance AI literacy and institutional capacities to jointly envision how to best approach...

These workshops revealed that, in many contexts, AI is already entering electoral processes faster than institutions can fully understand or govern it. Nearly half of all participants of the workshop rated their understanding of AI as low. However, a third of the participating organizations indicated that they are already using AI in their processes related to elections. Nevertheless, both AI skeptics and enthusiasts shared a cautious outlook during the workshops. Furthermore, EMBs have been flagging an immense dual burden, of both developing internal capacity to embrace technological innovation as well as mitigating disruptions to electoral information integrity by bad faith actors. Increasingly, private AI service providers are approaching EMBs with promised solutions to transform and automate core electoral functions from voter registration and logistics planning to voter information services and online monitoring.

Yet, these offers can often be driven by commercial incentives and speedy deployment timelines, and not all products are designed with the specific legal, technical and human-rights sensitivities of elections in mind. With something as sacred as elections, it has become ever more important that the products on offer give due consideration to the election-related sensitivities for cybersecurity, data protection, and accuracy and other human rights... For this to work in practice, electoral authorities need to know how to diligently assess vendors and tools for compliance with regulatory provisions. AI is also contributing to broader changes in the electoral environment that extend far beyond the process of electoral administration. Political actors are increasingly experimenting with AI-enabled tools in electoral campaigns, from microtargeted, online advertising and chatbots to answer voter questions to synthetic images, audio and video deepfakes. While not all examples are used with a harmful intension, in many contexts they have been used to confuse voters, defame competing candidates or manipulate public debate, resulting in public disillusionment and fatigue around...

AI Chatbots Are Shockingly Good at Political Persuasion Chatbots can measurably sway voters’ choices, new research shows. The findings raise urgent questions about AI’s role in future elections By Deni Ellis Béchard edited by Claire Cameron Stickers sit on a table during in-person absentee voting on November 01, 2024 in Little Chute, Wisconsin. Election day is Tuesday November 5.

Forget door knocks and phone banks—chatbots could be the future of persuasive political campaigns. AI and Elections: A Mix of Surprise and Strategy AI's influence in the 2024 elections unfolded in surprising ways, with less impactful deepfakes than feared and a significant boost in campaign operations efficiency. From AI-generated translations to strategic assistance, the technology played a key behind-the-scenes role. Despite ongoing concerns about detection and the 'liar's dividend,' AI's potential benefits for smaller campaigns and inclusivity were highlighted alongside the need for future transparency and regulation. Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants.

Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive. Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive. Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive. Experts feared AI deepfakes in elections, but traditional misinformation methods like social media claims prevailed.

Days after New Hampshire voters received a robocall with an artificially generated voice that resembled President Joe Biden’s, the Federal Communications Commission banned the use of AI-generated voices in robocalls. It was a flashpoint. The 2024 United States election would be the first to unfold amid wide public access to AI generators, which let people create images, audio and video – some for nefarious purposes. Institutions rushed to limit AI-enabled misdeeds. Sixteen states enacted legislation around AI’s use in elections and campaigns; many of these states required disclaimers in synthetic media published close to an election. The Election Assistance Commission, a federal agency supporting election administrators, published an “AI toolkit” with tips election officials could use to communicate about elections in an age of fabricated information.

States published their own pages to help voters identify AI-generated content.

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