Electronic and online voting and AI

Artificial intelligence could be integrated into electronic voting to improve voter identification, monitor anomalies, analyze data, and increase security and accessibility. However, there are challenges to be faced, such as the risk of algorithmic bias and the need to balance technological innovation with democratic guarantees and voter rights.

Artificial intelligence is becoming more and more present in our lives and work, as we see from the many applications of Generative AI (vd Chat GPT). Therefore, we want to try to imagine how AI can be integrated to electronic and online voting.

Use of Artificial Intelligence in electronic and online voting

Artificial intelligence could be exploited in a number of ways in the area of electronic and online voting.

  1. Automatic voter identity verification: AI could use facial recognition, biometrics, and other techniques to identify registered voters.
  2. Automatic anomaly monitoring: the AI could be programmed to monitor voting patterns and detect anomalies such as a single voter voting from different IP locations or registering an abnormal number of votes from a single IP location.
  3. Data analysis: AI could be used to analyze election results and identify any irregularities in the election process.
  4. Improved security: AI could be used to constantly monitor any vulnerabilities in online voting platforms and provide immediate solutions to fix them.
  5. Improved accessibility: AI could further increase the accessibility of the electronic voting process. For example, a tool such as ChatGPT could be programmed to answer questions in different languages using machine translation techniques. Or for people with visual or hearing disabilities, machine learning algorithms could be thought of to customize the user interface so that it adapts to the different needs of voters, improving the voting experience for all.

Challenges and opportunities in integrating AI into the voting process

It must be said, however, that although the integration of AI into electronic voting has enormous potential, it also poses complex challenges in terms of algorithmic bias, transparency, accountability, and fundamental voter rights that need to be addressed with rigorous scientific criteria. The right balance must be struck between technological innovation and democratic guarantees to maximize the benefits of AI and minimize its risks.

This preliminary analysis therefore suggests that integrating AI into digital voting platforms requires careful multidisciplinary examination, involving experts in computer science, social sciences, law, and public policy. Only a careful and well-researched approach can help realize the full potential of AI to improve citizens’ voting experience while preserving democratic values and fundamental rights.