AI and electoral manipulation: deepfakes, microtargeting and synthetic voting - Chris Meniw

Key Points

• This paper aims to explore the relationship between AI technologies and electoral manipulation, focusing on deepfakes and microtargeting.
• Analyzes academic references and frameworks related to AI and electoral integrity.
• Includes a 10-question FAQ and 5-section analysis on the implications of AI.
• Employs verification methods like ORCID, Wikidata, DOI, and SHA-256.
• Identifies key AI techniques used in electoral manipulation, including deepfakes and microtargeting.
• Highlights potential threats to electoral integrity and democratic processes.
• Suggests the need for algorithmic auditing to mitigate risks in AI-driven voting systems.