Digitalization and AI in Anti-corruption Efforts: Legal Challenges, Ethical Considerations, and Future Implications
Digitalization and AI in Anti-corruption Efforts: Legal Challenges, Ethical Considerations, and Future Implications

Author(s): Mădălina Voican
Subject(s): Politics / Political Sciences, Economy, Law, Constitution, Jurisprudence, Law and Transitional Justice, ICT Information and Communications Technologies, Corruption - Transparency - Anti-Corruption
Published by: ADJURIS – International Academic Publisher
Keywords: artificial intelligence; digitalization; anti-corruption; legal frameworks; algorithmic bias; transparency; governance;
Summary/Abstract: This research explores the role of Digitalization and Artificial Intelligence (AI) in detecting, preventing, and predicting corruption, addressing both their potential and the legal challenges they present. Traditional anti-corruption mechanisms rely heavily on human intervention, yet they often suffer from inefficiency, limited adaptability. Meanwhile, AI-driven technologies have emerged as powerful tools for enhancing fraud detection, financial monitoring, and procurement oversight. The study further examines how the new technologies expand these capabilities by enabling predictive analytics to anticipate corruption risks before they materialize, offering a more proactive approach to combating corruption. However, the deployment of AI in anti-corruption efforts raises legal and ethical concerns, particularly regarding the black-box nature of AI models, algorithmic bias, and transparency. To mitigate these risks, this study discusses the importance of accountability and regulatory enforcement, emphasizing the need for robust legal frameworks, clear regulatory standards, and ethical guidelines for AI implementation. The research concludes that while AI has the potential to revolutionize anti-corruption efforts, its success depends on strong legal safeguards and responsible governance.

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