La IA y el Derecho: Sesgos algorítmicos e IA como violación de derechos humanos

La IA y el Derecho: Sesgos algorítmicos e IA como violación de derechos humanos

by Dr. Apolinar Rodríguez Rocha

Humanities, Social Sciences & Thought AI & Society UBDigital and Information technology: general topicsUBJDigital and information technologies: social and ethical aspects
🎙 Dr. Apolinar Rodríguez Rocha 👥 2K 📅 March 25, 2026 ⏱ 45 min 👁 95 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

algorithmic biashuman rightsAI ethicsothernessmulticulturalism

Summary

The presentation by Dr. Apolinar Rodríguez Rocha, part of a seminar on AI and Law, explores how algorithmic bias in artificial intelligence can lead to violations of human rights. The speaker introduces the ’theory of the other’ (alterity) as a philosophical framework to understand discrimination. He argues that AI systems are programmed by individuals who embed their own cultural values, biases, and prejudices, leading to discriminatory outcomes. He illustrates this with examples such as cultural differences in animal slaughter, religious attire, and marriage practices. The speaker emphasizes that AI’s mathematical and binary nature cannot capture the complexity and diversity of human cultures, leading to a homogenization that disrespects multiculturalism. He calls for AI to be designed with a deeper understanding of sociology and communication, and to respect the ‘otherness’ of individuals. The talk is largely philosophical and lacks empirical evidence or concrete technical solutions.

144 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information is primarily conceptual, offering a philosophical perspective on AI bias through the lens of alterity. The argumentation is based on anecdotal examples and personal interpretation rather than empirical data or case studies. The speaker’s reasoning is coherent but lacks depth in addressing technical aspects of AI or legal frameworks. The discussion of cultural relativism is thought-provoking but may oversimplify complex issues. The argument that AI cannot handle cultural diversity is presented without concrete evidence or counterarguments, weakening its persuasiveness.

Scientific Rigor, Source Quality, Title Accuracy

The presentation lacks scientific rigor: no sources are cited, no references to academic literature or legal documents are provided. The speaker mentions concepts like Levinas and Lacan but does not elaborate or cite specific works. The title accurately reflects the content, but the discussion remains at a high level without delving into specific legal cases or technical mechanisms. The adequacy between title and content is good, but the lack of sources and empirical grounding significantly reduces the scientific quality.

178 words

Title / Content Match

The title accurately reflects the content, which discusses algorithmic bias and AI as a potential violation of human rights.

Quality & Reliability

5/10

The presentation is an expert opinion with a philosophical and legal perspective, but it lacks empirical evidence, citations, and rigorous scientific methodology. The arguments are largely anecdotal and based on personal interpretation, with no references to specific studies or legal cases.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Contribution & Novelties

The presentation offers a unique philosophical perspective on AI bias, framing it as a violation of human rights through the lens of alterity. It highlights the importance of cultural diversity and the dangers of homogenization in AI systems. However, the lack of concrete examples or technical solutions limits its practical applicability.

Pour aller plus loin :

  • Alterity — Provides background on the concept of otherness.
  • Algorithmic bias — Overview of bias in algorithms.
  • Human rights and artificial intelligence — UN Human Rights Office on AI and human rights.

88 words

Radar Profile

The radar profile shows low scores across all dimensions, indicating a presentation with limited information density, weak scientific rigor, and minimal technical depth. The philosophical nature of the talk is not reflected in the scores, which focus on factual and technical content.

Reliability 3/10