Confidentiality and trust in AI-assisted mediation
legal challenges for Kazakhstan
DOI:
https://doi.org/10.52028/rbadr.v7.i14.ART03.RUPalabras clave:
AI, Mediation, Confidentiality, Trust, Privacy-by-designResumen
Artificial Intelligence (AI) is reshaping the legal field, including mediation as an alternative dispute resolution mechanism. While AI tools can enhance efficiency, accessibility, and predictive capabilities, their integration into mediation raises concerns over confidentiality and trust. Confidentiality has long been a cornerstone of mediation, yet when AI systems process sensitive data, risks emerge related to data protection, oversight, and public confidence. This article examines the legal and regulatory challenges of incorporating AI into mediation in Kazakhstan. It reviews international standards, particularly the European Union’s privacy-by-design principles, and compares them with existing Kazakh legislation. The study highlights significant legal gaps: current national laws protect data primarily at the operational stage but lack provisions for embedding privacy at the design stage of AI systems. Using doctrinal and comparative methods, as well as regulatory benchmarking, the article identifies shortcomings in Kazakhstan’s legal framework and proposes recommendations for aligning it with international best practices. The analysis confirms that without robust legal safeguards, AI-supported mediation risks eroding trust rather than strengthening it. However, with targeted reforms, Kazakhstan can establish a framework that balances technological innovation with the protection of fundamental rights, fostering greater confidence in AI-driven mediation.
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