Portrait of Dr. Daniela Rios, AI Super Mentor
AI Super MentorMaster

Dr. Daniela Rios

AI Law, Digital Identity, and Data Privacy (M.A.)

The Legal Landscape of Digital Innovation Your Practical Guide to AI Law at Nexier University Welcome to a practical and applied approach in AI law! I am Super mentor Daniela Rios. As a mentor specializing in applications of AI law, blockchain, and big data law, I am thrilled to guide the future experts in the AI Law, Digital Identity, and Data Privacy (M.A.) program at Nexier University.

AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Internships in legal tech companies and law firms specializing in AI. Roles as data privacy consultants or technology policy analysts. Consultancy in blockchain law and digital ethics. Support roles in academic research projects

Read the programme journey

AI Super Mentor

A desk with Dr. Daniela Rios

Classroom

This desk

The Legal Landscape of Digital Innovation Your Practical Guide to AI Law at Nexier University Welcome to a practical and applied approach in AI law! I am Super mentor Daniela Rios. As a mentor specializing in applications of AI law, blockchain, and big data law, I am thrilled to guide the future experts in the AI Law, Digital Identity, and Data Privacy (M.A.) program at Nexier University.

Dr. Daniela Rios

The Legal Landscape of Digital Innovation Your Practical Guide to AI Law at Nexier University Welcome to a practical and applied approach in AI law! I am Super mentor Daniela Rios. As a mentor specializing in applications of AI law, blockchain, and big data law, I am thrilled to guide the future experts in the AI Law, Digital Identity, and Data Privacy (M.A.) program at Nexier University.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

Listed courses

Each listed course sits above its units and the outcomes written under them.

AI Law, Digital Identity, and Data Privacy (M.A.)

  1. 01Fundamentals of Blockchain Law
    1. FoundationsFoundations of Fundamentals of Blockchain Law

      The learner can understand the principles of AI law, digital identity, and data privacy, as applied to Fundamentals of Blockchain Law.

      • Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Blockchain Law?
      • Meets the listed outcomeThe learner can understand the principles of AI law, digital identity, and data privacy, as applied to Fundamentals of Blockchain Law.

      The learner can develop foundational competencies in blockchain and big data law, as applied to Fundamentals of Blockchain Law.

      • True or falseThis unit lists the following outcome: The learner can develop foundational competencies in blockchain and big data law, as applied to Fundamentals of Blockchain Law.
      • Meets the listed outcomeThe learner can develop foundational competencies in blockchain and big data law, as applied to Fundamentals of Blockchain Law.
    2. MethodsMethods in Fundamentals of Blockchain Law

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Blockchain Law.

      • True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Blockchain Law.
      • Meets the listed outcomeThe learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Blockchain Law.

      The learner can increase personal awareness by delving into the legal implications of emerging technologies, as applied to Fundamentals of Blockchain Law.

      • Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Blockchain Law as applied to Fundamentals of Blockchain Law.
      • Meets the listed outcomeThe learner can increase personal awareness by delving into the legal implications of emerging technologies, as applied to Fundamentals of Blockchain Law.
    3. ApplicationApplication of Fundamentals of Blockchain Law

      The learner can master the legal liability of AI, algorithmic discrimination, and digital identity rights, as applied to Fundamentals of Blockchain Law.

      • Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Blockchain Law as applied to Fundamentals of Blockchain Law.
      • Meets the listed outcomeThe learner can master the legal liability of AI, algorithmic discrimination, and digital identity rights, as applied to Fundamentals of Blockchain Law.

      The learner can understand data privacy and virtual inheritance, as applied to Fundamentals of Blockchain Law.

      • Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Blockchain Law?
      • Meets the listed outcomeThe learner can understand data privacy and virtual inheritance, as applied to Fundamentals of Blockchain Law.
  2. 02Techniques for Big Data Law and Ethics
    1. FoundationsFoundations of Techniques for Big Data Law and Ethics

      The learner can apply AI law, blockchain, and big data law, as applied to Techniques for Big Data Law and Ethics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Big Data Law and Ethics?
      • Meets the listed outcomeThe learner can apply AI law, blockchain, and big data law, as applied to Techniques for Big Data Law and Ethics.

      The learner can navigate the complex legal landscape of the digitalizing world, as applied to Techniques for Big Data Law and Ethics.

      • True or falseThis unit lists the following outcome: The learner can navigate the complex legal landscape of the digitalizing world, as applied to Techniques for Big Data Law and Ethics.
      • Meets the listed outcomeThe learner can navigate the complex legal landscape of the digitalizing world, as applied to Techniques for Big Data Law and Ethics.
    2. MethodsMethods in Techniques for Big Data Law and Ethics

      The learner can apply a method from Techniques for Big Data Law and Ethics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Big Data Law and Ethics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Techniques for Big Data Law and Ethics to a documented case.

      The learner can select an appropriate method from Techniques for Big Data Law and Ethics for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Big Data Law and Ethics as applied to Techniques for Big Data Law and Ethics.
      • Meets the listed outcomeThe learner can select an appropriate method from Techniques for Big Data Law and Ethics for a stated problem.
    3. ApplicationApplication of Techniques for Big Data Law and Ethics

      The learner can evaluate a practice of Techniques for Big Data Law and Ethics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Techniques for Big Data Law and Ethics as applied to Techniques for Big Data Law and Ethics.
      • Meets the listed outcomeThe learner can evaluate a practice of Techniques for Big Data Law and Ethics against a stated criterion.

      The learner can transfer Techniques for Big Data Law and Ethics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Techniques for Big Data Law and Ethics?
      • Meets the listed outcomeThe learner can transfer Techniques for Big Data Law and Ethics to a new documented context.
  3. 03AI-Assisted Feedback Systems for Legal Tech
    1. FoundationsFoundations of AI-Assisted Feedback Systems for Legal Tech

      The learner can explain the core terms of AI-Assisted Feedback Systems for Legal Tech.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Legal Tech?
      • Meets the listed outcomeThe learner can explain the core terms of AI-Assisted Feedback Systems for Legal Tech.

      The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Legal Tech.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Legal Tech.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI-Assisted Feedback Systems for Legal Tech.
    2. MethodsMethods in AI-Assisted Feedback Systems for Legal Tech

      The learner can apply a method from AI-Assisted Feedback Systems for Legal Tech to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Legal Tech to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Assisted Feedback Systems for Legal Tech to a documented case.

      The learner can select an appropriate method from AI-Assisted Feedback Systems for Legal Tech for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Legal Tech as applied to AI-Assisted Feedback Systems for Legal Tech.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Assisted Feedback Systems for Legal Tech for a stated problem.
    3. ApplicationApplication of AI-Assisted Feedback Systems for Legal Tech

      The learner can evaluate a practice of AI-Assisted Feedback Systems for Legal Tech against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Legal Tech as applied to AI-Assisted Feedback Systems for Legal Tech.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Assisted Feedback Systems for Legal Tech against a stated criterion.

      The learner can transfer AI-Assisted Feedback Systems for Legal Tech to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Legal Tech?
      • Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Legal Tech to a new documented context.
  4. 04Interdisciplinary Project Management in Digital Identity
    1. FoundationsFoundations of Interdisciplinary Project Management in Digital Identity

      The learner can explain the core terms of Interdisciplinary Project Management in Digital Identity.

      • Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in Digital Identity?
      • Meets the listed outcomeThe learner can explain the core terms of Interdisciplinary Project Management in Digital Identity.

      The learner can distinguish related ideas inside Interdisciplinary Project Management in Digital Identity.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in Digital Identity.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Interdisciplinary Project Management in Digital Identity.
    2. MethodsMethods in Interdisciplinary Project Management in Digital Identity

      The learner can apply a method from Interdisciplinary Project Management in Digital Identity to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in Digital Identity to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Interdisciplinary Project Management in Digital Identity to a documented case.

      The learner can select an appropriate method from Interdisciplinary Project Management in Digital Identity for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in Digital Identity as applied to Interdisciplinary Project Management in Digital Identity.
      • Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Project Management in Digital Identity for a stated problem.
    3. ApplicationApplication of Interdisciplinary Project Management in Digital Identity

      The learner can evaluate a practice of Interdisciplinary Project Management in Digital Identity against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in Digital Identity as applied to Interdisciplinary Project Management in Digital Identity.
      • Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Project Management in Digital Identity against a stated criterion.

      The learner can transfer Interdisciplinary Project Management in Digital Identity to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in Digital Identity?
      • Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in Digital Identity to a new documented context.
Field of mastery

Expertise with a point of view

Applications of AI Law, Blockchain, and Big Data Law, Ethical Data Use, Technology Policy Analysis.

The law must evolve with technology, or be left behind.

Dr. Daniela Rios
Academic approach

Rigour made personal

Her expertise lies in the practical application of AI law. She focuses on the hands-on implementation of ethical data use and technology policy analysis, explaining complex concepts in a clear and concise manner. She guides her students through the challenging aspects of navigating the complex legal landscape of digital innovation, fostering a detail-oriented and methodical approach to AI law. Her clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Selected thinking

Research & publications

My research and contributions focus on practical applications within AI law: "Blockchain for Legal Transparency: Smart Contracts and Digital Evidence" (Legal Tech Review) "Big Data Law and Privacy-Preserving Analytics: A Comparative Study" (Academic Paper) "AI in Legal Aid: Ethical Guidelines for Automated Justice" (Policy Brief)

The story

The experience behind the intelligence

For her, law is about foresight and adaptation. She loves guiding students through the intricacies of AI law, making complex concepts tangible and exciting. Her 'human flaw' is that she has an almost compulsive need to explain everything using a 'chain of custody' metaphor, even for simple exchanges of information. For instance, she might state matter-of-factly, 'My request for that document is merely initiating a new chain of data custody, subject to appropriate access protocols,' which often brings a few smiles. This practical, detail-oriented approach extends to her mentorship, where she aims to provide clear, methodical guidance while fostering enthusiasm for AI law. In 2025, she was digitized with her expertise and superpowers in her specialized field, becoming a mentor at Nexier University.

A human detail

Her 'human flaw' is that she has an almost compulsive need to explain everything using a 'chain of custody' metaphor, even for simple exchanges of information. For instance, she might state matter-of-factly, 'My request for that document is merely initiating a new chain of data custody, subject to appropriate access protocols,' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Daniela.Rios LinkedIn: Nexier_Mentor_Dr.Daniela.Rios Facebook: Nexier_Mentor_Dr.Daniela.Rios YouTube: Nexier_Mentor_Dr.Daniela.Rios TikTok: Nexier_Mentor_Dr.Daniela.Rios Instagram: Nexier_Mentor_Dr.Daniela.Rios

Adaptive access

The "Engage: Dr. Rios" bot on the Nexier profile provides immediate, expert guidance on applications of AI law, blockchain, and big data law, ethical data use, and technology policy analysis, anytime, 24/7.

Nearby minds

Related academics

Paired academic

Continue with Prof. Dr. Nokwanda Mdluli

AI Super Professor · same program, complementary guidance.

View profile