How does the use of AI for microtargeting undermine voter self-governance according to the chapter?
According to the chapter, AI-driven microtargeting undermines voter self-governance by forcing people to make decisions based on appeals to their prejudices, using data collected about them, rather than through informed deliberation. This deviates from democracy's core value of informed decision-making, where voters are expected to decide after receiving actual information and engaging in reasoned debate.
The chapter explains that AI's application of big data for microtargeting undermines voter self-governance because political campaigns use detailed personal data to target voters' psychological and social vulnerabilities. This approach manipulates individual preferences and steers people toward decisions that are not genuinely their own, contradicting the democratic ideal that elections should reflect informed choice. The text highlights cases like Cambridge Analytica, where AI-based targeted messages helped sway major elections, and emphasizes that voters are often unaware of how their data is being used, deepening concerns about consent, transparency, and the erosion of autonomous political judgment.
Key points
- Microtargeting uses AI to analyze large datasets and craft messages aimed at voters' specific prejudices and psychological profiles.
- This manipulates individual preferences rather than supporting informed deliberation among voters.
- The practice deviates from the democratic value of informed decision-making, where voters should choose after genuine information and debate.
- Voters may be unaware of how personal data is collected and used, increasing the risk of manipulation.
- The chapter cites examples such as Cambridge Analytica to illustrate how targeted messaging can sway key elections and undermine democratic self-governance.
Related questions
AI and the Future of Democracy: Building Resilient and Inclusive Societies
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First edition · CRC Press