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AI Played a Pervasive Role in the 2024 Elections, with Deepfakes and Misinformation Being Just One Aspect

News RoomBy News RoomDecember 3, 20243 Mins Read
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2024 has marked an unprecedented year in global democracy with a record 3.7 billion eligible voters across 72 countries participating in elections. Dubbed as a “super-cycle” year, the elections were clouded by concerns over artificial intelligence advancements, particularly regarding the potential for deepfakes and misinformation to distort political integrity. As the year draws to a close, it is crucial to assess how well democracy has withstood these challenges. A recent Pew survey indicated a widespread skepticism among Americans, with nearly eight times the number expecting AI to be used for negative purposes over positive ones in these elections, underscoring the prevailing fears about AI’s role in democratic processes.

Despite the anticipated threats, the so-called “death of truth” did not come to fruition in this election cycle, suggesting that AI has not been as destructive as some feared. Campaigns around the world embraced various AI applications, showcasing the technology’s potential for good when utilized correctly. Political events often took place behind closed doors, leaving voters unaware of how AI was effectively transforming engagement methods. For instance, Japanese and Californian local governments, along with prominent figures like India’s Prime Minister Narendra Modi, utilized AI for language translation, enabling them to communicate with diverse communities in real time.

Among the more innovative uses of AI were chatbots that mimicked politicians, enabling candidates to connect directly with voters. Notable examples included U.S. presidential primary candidates such as Asa Hutchinson and Dean Phillips deploying their AI personas to engage constituents. The campaign of Takahiro Anno in Japan illustrated the effectiveness of this approach; he used an AI avatar to respond to 8,600 voter questions and secured a noteworthy fifth place in a competitive race. Furthermore, campaigns leveraged AI to aid in fundraising and polling, exemplified by tools that drafted campaign emails and conducted social listening to gauge voter sentiment.

While AI’s influence extended into political advertising and messaging strategies, concerns over misinformation remained prevalent. Instances of AI-generated propaganda and manipulation arose, such as the viral circulation of a fake audio clip related to Slovakian election fraud and robocalls impersonating President Biden. However, these cases did not significantly sway electoral outcomes, suggesting that while the potential for disruption exists, the actual impact may be limited. Additionally, AI technologies were employed by organizations like OpenAI to combat foreign influence efforts, thereby protecting the electoral information ecosystem even as the threat of deepfakes persisted.

The phenomenon of AI’s dual-edged nature in politics revealed a broader truth: tech platforms began employing AI to enhance content moderation capabilities, addressing issues such as hate speech and misinformation more effectively. As AI becomes more integral to political processes, the need for transparent and fair algorithms is increasing. Despite corporate policies aiming to restrict political AI applications, such restrictions were largely ineffective, with widespread usage across campaigns. This highlights an ongoing issue in governing technology that blends into crucial aspects of democratic participation.

As we head into the future, it is clear that AI will continue to permeate political landscapes, defining interactions in campaigns and possibly altering voter engagement forever. Its ascent is inexorable, driven by the desire for automation and efficiency, regardless of its consequences or the balance of its positive and negative impacts. It becomes increasingly imperative for both public and private sectors to navigate this landscape responsibly, recognizing that the future of democracy may hinge on the careful management and ethical deployment of emerging technologies.

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