Voters in both the 2016 and 2020 elections were evidently influenced by various systems.
The upcoming U.S. elections are likely to witness a more pronounced impact from artificial intelligence, introducing an additional layer of complexity.
Concerns are escalating regarding the utilization of relational AI in the current election cycle, which could potentially sway voters and undermine the electoral process, despite the multifaceted applications of AI in society.
Defining Relational AI
Relational AI, grounded in concepts that assimilate and analyze new data alongside user interactions, encompasses artificial intelligence proficient in generating images, textual information, and other forms of data.
Potential Misuse of Generative AI in Election Campaigns
There exists a risk of certain entities exploiting AI for nefarious purposes, distinct from those leveraging it for cost-saving endeavors.
While AI can aid in identifying and removing ineligible individuals from databases and personal engagements, it also runs the risk of inadvertently or deliberately disenfranchising eligible voters.
Chatbots and systems could be deployed to disseminate misinformation among voters, potentially swaying their opinions in favor of specific candidates.
In a worst-case scenario, AI holds the capacity to amplify contentious issues and incite discord.
Impediments to Electoral Integrity by Technology and AI Entities
Tech companies exhibit a lack of investment in safeguarding election integrity. AI enterprises face constraints in allocating resources to mitigate risks associated with electoral utilization of their technologies, leading to diminished oversight over AI-generated content and its applications.
Given the paramount importance of free speech in American democratic ideals, the clash between AI and the essence of the American Constitution during elections necessitates vigilance in curbing propaganda to ensure fair electoral processes.
Apart from the conventional candidate mudslinging, recent revelations indicate foreign nations such as China, Iran, and Russia are employing AI-generated content to influence U.S. voters.
Strategies to Combat AI Misuse
The advent of social media has revolutionized electoral practices. Various platforms have instituted measures to combat election-related data manipulation and misinformation.
YouTube, under Alphabet’s umbrella, has implemented policies to restrict the dissemination of content perpetuating false claims regarding electoral fraud or malfunctions in past U.S. Presidential elections.
Meta, overseeing Facebook, Instagram, and Threads, may introduce labeling for AI-generated images and advertisements to aid users in discerning authentic content from manipulated or synthetic material, particularly during election periods.
Several states, including California, Michigan, Minnesota, Texas, and Washington, have enacted legislation addressing the proliferation of social deepfakes.
Key Takeaways from Kurt’s Experience
While AI’s potential misuse across societal domains is a cause for concern, its implications on political realms appear most alarming.
The prospect of AI misuse may foster critical thinking among voters, prompting a more discerning approach towards assessing election candidates, issues, and information amidst the threat of manipulation by pundits and voters alike.
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Encouraging individuals to conduct independent research rather than passively consuming information, both online and offline, could potentially mitigate the impact of AI-driven misinformation.
Furthermore, the decentralized nature of the American electoral system, managed at local levels, may pose challenges to widespread AI abuse, underscoring the significance of each individual’s vote.
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