Idman.biz
A scientific article dedicated to artificial intelligence in anti-doping has been published in the "Law. Human. Environment" journal, which is included in the international indexing system - SCOPUS database.
Idman.Biz reports that the Azerbaijan National Anti-Doping Agency (AMADA) has released information about this.
It was reported that the co-authors of the article "Artificial intelligence in the fight against doping: Between progress and ethical and legal dilemmas" are AMADA's executive director Tahmina Taghi-zadeh and deputy executive director Rufat Efendiyev.
The new peer-reviewed scientific article dedicated to the use of artificial intelligence in anti-doping clearly emphasizes that technological progress should be accompanied by strong mechanisms that ensure transparency, protection of athletes' rights and procedural justice.
The article examines the increasing role of artificial intelligence in anti-doping systems and highlights its potential to improve anomaly detection, strengthen risk-based monitoring, support more targeted testing, and improve the analysis of biological and performance-related data.
The main thesis of the article is that if artificial intelligence is to play a legitimate role in anti-doping, its application must be firmly based on the principles of transparency, accountability, explainability, non-discrimination, data protection and procedural justice.
The scientific article analyzes the legal and regulatory dimensions of this issue in the context of the "Artificial Intelligence Strategy of the Republic of Azerbaijan for 2025–2028", approved by the Decree of President Ilham Aliyev No. 530 dated March 19, 2025, the World Anti-Doping Code and related International Standards, as well as the Council of Europe's Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225) adopted in 2024.
According to the authors, one of the main management challenges in the coming years will be to ensure that increasingly powerful analytical tools do not outpace the safeguard mechanisms necessary to protect athletes' rights.
The article also identifies a number of priority areas for the responsible use of artificial intelligence in anti-doping. These include human-centered and hybrid decision-making models, multilateral governance and ethical auditing, as well as stronger safeguards for standardization and data integrity. All this should serve not to weaken the legitimacy of innovation, but rather to strengthen it.
At the same time, the authors emphasize that a number of important risks remain unresolved. These include algorithmic bias, limited explainability, the lack of adequate mechanisms to challenge AI-assisted decisions, concerns about the privacy of sensitive athlete data, and the deepening of inequality in access to advanced technologies.
Sharing her thoughts on the article, Tahmina Taghi-zadeh said that artificial intelligence creates important new opportunities for strengthening anti-doping activities, in particular, increasing analytical capabilities, improving risk assessment and ensuring more substantiated monitoring: "However, its legitimacy will depend entirely on whether it is fully based on ethical principles, legal guarantees and full respect for the rights of athletes".
Rufat Efendiyev noted that it is becoming increasingly clear that artificial intelligence will become part of the future development of the anti-doping system: "As the global anti-doping system pays greater strategic attention to anti-doping data and artificial intelligence, it becomes even more important to ensure that this transition is managed responsibly. Otherwise, the system's capabilities may develop faster than the trust and legitimacy necessary to support it."
