Artificial Intelligence (AI) is transforming many aspects of human life, and democracy is no exception. The recent Sri Lankan election serves as a prime example of how AI technologies are shaping democratic processes. In this fiercely competitive political landscape, AI played both constructive and disruptive roles, influencing voter behavior and shaping electoral outcomes. From productive use in policy creation to disinformation campaigns utilizing deepfakes, AI’s impact on democracy is profound. This article examines AI’s role in democracy, focusing on the recent Sri Lankan election to illustrate both the risks and benefits AI brings to the political sphere.
The Negative Side: AI as a Threat to Democracy
While AI offers potential benefits, it also poses serious threats. If used irresponsibly, AI can undermine democratic processes by spreading disinformation, polarizing voters, and manipulating public opinion. Several incidents from the recent Sri Lankan election highlight these risks.
1. The Misinformation Epidemic:
One of the most significant concerns about AI’s role in democracy is its ability to amplify misinformation and disinformation. AI can generate hyper-realistic, fake content such as deepfake videos and manipulated images that deceive voters and manipulate public opinion. In Sri Lanka’s election, AI-generated content was reported to have been used to spread false information about political candidates, causing confusion among voters.
Deepfakes, in particular, played a notable role. AI-generated videos or audio recordings made it appear as though certain candidates said or did things they never actually did. Some of these deepfakes took an unexpected twist, with AI-generated content ranging from humorous and bizarre videos to harsh, malicious ones. For instance, a series of humorous videos depicting political candidates dancing comically gained traction on Facebook, creating confusion among voters unsure whether these clips were real or fabricated. On a darker note, there were AI-generated videos where candidates’ voices were manipulated to sound aggressive or confrontational, spreading rapidly on social media. These videos went viral, making it hard for voters to distinguish between fact and fiction.
The rise of generative AI tools like deepfake technologies and AI-generated news articles has made disinformation campaigns easier to execute. Fake news, often crafted using AI, circulated rapidly, making it difficult for voters to separate fact from fiction. The prevalence of fake yet realistic videos blurred the lines between entertainment, misinformation, and political manipulation, leaving many voters confused and misled.
2. Political Micro-Targeting: Manipulating Voter Behavior:
Micro-targeting can enhance voter engagement by tailoring messages to specific groups, but it can also be used to manipulate voters. AI, through analyzing social media activity, can identify individuals’ fears, biases, and vulnerabilities, crafting manipulative messages that exploit these emotions. This kind of psychological profiling was used extensively during the recent Sri Lankan election.
In Sri Lanka, political groups have a history of using AI to target specific ethnic and religious communities with divisive content. AI-generated messages were crafted to stoke fears about ethnic tensions, deepening societal divisions and fueling anxiety among voters. This manipulation of voters’ emotions undermined national unity and increased polarization.
In a country with a complex political landscape and a diverse population, such tactics are particularly dangerous. AI-driven disinformation campaigns can exacerbate existing societal tensions, making it harder for the country to achieve political cohesion.
3. Astroturfing and Synthetic Movements:
AI facilitates astroturfing creating the illusion of grassroots support for a particular cause or candidate. In the recent election, AI generated fake social media support for political candidates. This tactic, known as synthetic grassroots movements, involves flooding social media with AI-generated posts and comments, creating the illusion of widespread public backing.
These tactics distort public perception, making it seem like certain candidates or policies have more support than they do. AI-generated synthetic movements deceive voters into believing they are part of a larger political wave, leading to skewed perceptions and manipulated voting decisions.
The Positive Side: AI as a Catalyst for Democracy
Despite the risks, AI has the potential to enhance democracy by improving voter engagement, increasing access to information, and making elections more inclusive and efficient. The Sri Lankan election also demonstrated positive uses of AI in politics.
1. Facilitating Political Engagement:
AI played a positive role in increasing political engagement during the Sri Lankan election. One challenge for voters is navigating the complex web of political platforms and policies. AI can simplify these issues, helping voters engage with and understand political discourse more easily.
For example, some political parties in Sri Lanka reportedly used AI tools like ChatGPT to help draft their policy handbooks. By analyzing large datasets, these AI systems generated clearer and more concise policy proposals, making it easier for voters to comprehend the parties’ platforms.
This represents a positive use of AI, making political information more accessible. Additionally, some parties employed AI-powered tools like chatbots to assist voters in making informed decisions. These chatbots answered questions about candidates’ platforms and provided real-time updates on policy changes, helping voters, particularly in rural areas, stay informed and make more educated choices at the ballot box.
2. AI in Campaigns: Micro-Targeting and Personalization:
AI transformed political campaigns by enabling micro-targeting, where AI algorithms analyze vast amounts of voter data to deliver tailored messages to specific groups. For instance, one party might use AI to identify rural voters concerned about agricultural policies and then deliver ads addressing those specific concerns. This hyper personalization can make voters feel heard, potentially increasing voter turnout.
3. AI’s Role in Policy-Making:
AI’s ability to process and analyze vast amounts of data can enhance policy-making. By analyzing societal trends, AI can help policymakers identify issues before they become crises. During the Sri Lankan election, AI was reportedly used to draft more informed and responsive policy proposals.
AI also aids in evaluating the effectiveness of policies after implementation. By monitoring public sentiment and outcomes, AI systems provide feedback on whether policies achieve their intended goals or need adjustments. This feedback loop ensures policies evolve to meet the needs of the population.
4. Detecting AI-Generated Content:
While AI is used to spread disinformation, it also offers tools to combat it. Automated tools like GPTZero, OpenAI’s classifier, and DetectGPT have been developed to detect AI-generated content. So, the AI can detect misleading content which are generated by AI itself. This helps a lot to keep democracy secure in the country.
The recent Sri Lankan election highlighted both the positive and negative roles AI can play in democracy. On one hand, AI tools helped increase voter engagement, streamline campaigns, and make policy-making more responsive to public needs. On the other hand, AI was used to spread disinformation, manipulate voters through micro-targeting, and create synthetic grassroots movements. The challenge for Sri Lanka and for democracies worldwide is to harness the positive potential of AI while mitigating its risks.
Author: Dinuk Pathiraja
Reviewed By: Sammani Vishara, Kavithi Kulatunge, Mihara Inuri, Charith Lakshan
