La potestad discrecional adtva en la era de la IA: Fundamentos, desafíos y sistemas de garantías

La potestad discrecional adtva en la era de la IA: Fundamentos, desafíos y sistemas de garantías

🎙 Dr. Gustavo Andrade Figueroa 👥 2K 📅 May 14, 2026 ⏱ 34 min 👁 122 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

discretionary poweradministrative lawartificial intelligencelegal safeguardsalgorithmic decision-making

Summary

The presentation by Dr. Gustavo Andrade Figueroa, part of the Fourth Cycle of the International Seminar by the Peruvian Institute of Artificial Intelligence and Digital Citizenship, addresses the exercise of discretionary administrative power in the era of artificial intelligence. It begins by framing the context of a hyper-globalized world and the Fourth Industrial Revolution, emphasizing that public administration is not exempt from these changes. The central research question is: what legal safeguards are necessary to prevent automated administrative decisions from violating the limits of discretionary power? The speaker clarifies that discretionary power is not synonymous with arbitrariness, citing Juli Ponce Solé and the historical reduction of discretion by Eduardo García de Enterría. He then discusses how AI is transforming public administration through automation, predictive systems, and mass data processing, but also highlights risks such as algorithmic bias, opacity, and the weakening of legal control. He analyzes different types of reasoning (deductive, inductive, analogical, abductive) and their suitability for AI, concluding that abductive reasoning, which relies on common sense and experience, is a major limitation. He reviews international regulations, including the EU AI Act, Spain’s Law 40/2015, Germany’s prohibition of automated discretion, and Latin American laws, noting a regulatory lag. He proposes a system of legal guarantees: human supervision, algorithmic explainability, reinforced motivation of decisions, and reduplicative administrative self-protection, aligned with principles from the Inter-American Court of Human Rights (rationality, reasonableness, proportionality). The conclusions emphasize that discretion must be controlled, AI has structural limits for complex decisions, and the legitimacy of automation depends on a comprehensive system of guarantees. The ultimate challenge is not automating decisions but preserving the rule of law in the new context.

275 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation offers valuable insights into the intersection of administrative law and AI, a timely and relevant topic. The speaker provides a clear conceptual framework, distinguishing between regulated and discretionary powers, and effectively argues that AI’s limitations in abductive reasoning and contextual understanding necessitate human oversight. The argumentation is logically structured, moving from theoretical foundations to practical challenges and proposed solutions. However, the presentation relies heavily on the speaker’s expertise and general references rather than empirical data or detailed case studies. The discussion of AI’s reasoning capabilities is somewhat superficial, lacking depth in technical explanation. The proposal for a system of guarantees is well-articulated but could benefit from more concrete implementation strategies. Overall, the value lies in its comprehensive overview and the synthesis of legal principles with technological realities, though it could be strengthened by more rigorous evidence and specific examples.

Scientific Rigor, Source Quality, Title Accuracy

The presentation demonstrates a good level of scientific rigor in its use of legal doctrine and references to international regulations. The speaker cites relevant scholars (Juli Ponce Solé, Eduardo García de Enterría) and legal frameworks (EU AI Act, Spanish Law 40/2015, German law, etc.), which adds credibility. However, the sources are not systematically cited with precise references, and some claims are made without direct citations. The title accurately reflects the content, covering foundations, challenges, and guarantees. The presentation is well-structured and coherent, but the lack of detailed citations and the reliance on general knowledge may limit its academic rigor. The speaker’s expertise is evident, but the presentation would benefit from more explicit sourcing and references to specific legal provisions and case law.

278 words

Title / Content Match

The title accurately reflects the content, which covers the foundations, challenges, and guarantees of discretionary administrative power in the AI era.

Quality & Reliability

7/10

The presentation is based on the speaker's expertise in administrative law and AI, referencing specific legal frameworks and cases. However, it lacks detailed citations and empirical evidence, and some claims are presented without rigorous sourcing.

Key Moments

Cited Sources

  • Juli Ponce Solé - Discretionary power in the 21st century — Cited in the presentation to define discretionary power as a power exercised with diligence and care.
  • Eduardo García de Enterría - La lucha contra las inmunidades del poder — Referenced for the historical reduction of discretionary power and the distinction from arbitrariness.
  • EU Artificial Intelligence Act (2024) — Mentioned as a regulatory framework requiring human supervision for decisions affecting fundamental rights.
  • Spain - Law 40/2015 on the Legal Regime of the Public Sector — Cited as insufficient regulation regarding discretionary power in automated decisions.
  • Germany - Law prohibiting automated discretion — Mentioned as an example of a country that prohibits automated decisions in discretionary matters.
  • Brazil - Digital Government Law — Referenced as a law on administrative digitalization but without addressing discretionary power.
  • Chile - Digital transformation regulations — Mentioned as lacking specific provisions on discretionary power.
  • Ecuador - Código Orgánico Administrativo — Cited as lacking specific regulation on discretionary power in automated decisions.

Concurring Sources

  • EU AI Act — Supports the need for human oversight in high-risk AI systems, aligning with the speaker's proposal.
  • García de Enterría's work on discretionary power — Provides historical and doctrinal support for the distinction between discretion and arbitrariness.

Dissenting Sources

  • Potential counterarguments on AI's reasoning capabilities — Some researchers argue that AI can handle abductive reasoning to some extent, contrary to the speaker's claim of major limitation.

Contribution & Novelties

The presentation provides a comprehensive overview of the legal challenges posed by AI in administrative decision-making, particularly focusing on discretionary power. It synthesizes existing literature and regulations, offering a structured framework of guarantees (human supervision, explainability, motivation, and administrative self-protection) that could serve as a basis for future legal reforms. The novelty lies in its application of principles from the Inter-American Court of Human Rights to the context of AI, and its emphasis on the need for a ‘system of guarantees’ rather than isolated measures. However, the presentation does not introduce new empirical data or original research, but rather offers a conceptual synthesis.

Pour aller plus loin :

  • European Union Artificial Intelligence Act — The EU’s regulatory framework for AI, relevant for understanding mandatory human oversight and risk-based approaches.
  • Administrative Discretion - Stanford Encyclopedia of Philosophy — A philosophical analysis of administrative discretion, providing theoretical depth.
  • Algorithmic Bias - MIT Technology Review — An accessible explanation of algorithmic bias, relevant to the risks discussed.
  • Robodebt Royal Commission Report — Official report on the Australian Robodebt scheme, illustrating the consequences of automated decision-making without adequate safeguards.

185 words

Radar Profile

The radar profile shows a balanced performance across all dimensions, with slightly higher scores in information quantity and quality, and lower in technical level. This indicates a presentation that is informative and reliable but not highly technical, suitable for a general legal audience.

Reliability 7/10

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