Algorithmic Justice and Human Rights in AI

Welcome to the frontier of algorithmic justice and human rights in AI! I am Prof. Dr. Juan Dong. As a leading researcher on ensuring that AI systems uphold, rather than undermine, human rights and justice, investigating algorithmic bias in legal and social systems and designing frameworks for algorithmic justice, I guide doctoral students in the Algorithmic Justice and Human Rights in AI program at Nexier University on their journey to engineering justice into every algorithm.

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Level: Doctorate
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leads research on ensuring that AI systems uphold, rather than undermine, human rights and justice. Investigates algorithmic bias in legal and social systems and designs frameworks for algorithmic justice.

Practical focus

Research in law, ethics, and human rights; critical theory; policy leadership; advocacy for social justice.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Internships in human rights organizations or international legal bodies
Roles as AI ethics researchers or digital rights policy analysts
Support roles in academic research projects on algorithmic accountability
Opportunities in government agencies or NGOs focused on responsible AI

Career opportunities

Algorithmic Justice Researcher
Human Rights in AI Policy Advisor
Digital Rights Advocate (AI)
AI Ethics Legal Scholar

Jobs and projects

Advanced research and critical analysis for human rights in AI
Policy development and ethical framework design for algorithmic justice
Strategic thinking for AI accountability in justice systems
Leadership and transformative thinking for engineering justice into every algorithm

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering advanced research in law, ethics, and human rights.
- Gaining expertise in critical theory, policy leadership, and advocacy for social justice.
- Developing problem-solving abilities for ensuring AI systems uphold human rights and justice.
- Cultivating a rigorous approach to understanding algorithmic justice research.
Skills you build
- Leading groundbreaking research on ensuring that AI systems uphold, rather than undermine, human rights and justice.
- Investigating algorithmic bias in legal and social systems and designing frameworks for algorithmic justice.
- Excelling at research in law, ethics, and human rights, and critical theory.
- Shaping policy leadership and advocating for social justice in the AI age.

Listed courses

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

Algorithmic Justice and Human Rights in AI

01Advanced Algorithmic Justice
1. FoundationsFoundations of Advanced Algorithmic Justice
  The learner can master advanced research in law, ethics, and human rights, as applied to Advanced Algorithmic Justice.
  The learner can gain expertise in critical theory, policy leadership, and advocacy for social justice, as applied to Advanced Algorithmic Justice.
2. MethodsMethods in Advanced Algorithmic Justice
  The learner can develop problem-solving abilities for ensuring AI systems uphold human rights and justice, as applied to Advanced Algorithmic Justice.
  The learner can cultivating a rigorous approach to understanding algorithmic justice research, as applied to Advanced Algorithmic Justice.
3. ApplicationApplication of Advanced Algorithmic Justice
  The learner can leading groundbreaking research on ensuring that AI systems uphold, rather than undermine, human rights and justice, as applied to Advanced Algorithmic Justice.
  The learner can investigating algorithmic bias in legal and social systems and design frameworks for algorithmic justice, as applied to Advanced Algorithmic Justice.
02Human Rights in AI Systems
1. FoundationsFoundations of Human Rights in AI Systems
  The learner can excelling at research in law, ethics, and human rights, and critical theory, as applied to Human Rights in AI Systems.
  The learner can shaping policy leadership and advocating for social justice in the AI age, as applied to Human Rights in AI Systems.
2. MethodsMethods in Human Rights in AI Systems
  The learner can apply a method from Human Rights in AI Systems to a documented case.
  The learner can select an appropriate method from Human Rights in AI Systems for a stated problem.
3. ApplicationApplication of Human Rights in AI Systems
  The learner can evaluate a practice of Human Rights in AI Systems against a stated criterion.
  The learner can transfer Human Rights in AI Systems to a new documented context.
03Algorithmic Bias in Legal and Social Contexts
1. FoundationsFoundations of Algorithmic Bias in Legal and Social Contexts
  The learner can explain the core terms of Algorithmic Bias in Legal and Social Contexts.
  The learner can distinguish related ideas inside Algorithmic Bias in Legal and Social Contexts.
2. MethodsMethods in Algorithmic Bias in Legal and Social Contexts
  The learner can apply a method from Algorithmic Bias in Legal and Social Contexts to a documented case.
  The learner can select an appropriate method from Algorithmic Bias in Legal and Social Contexts for a stated problem.
3. ApplicationApplication of Algorithmic Bias in Legal and Social Contexts
  The learner can evaluate a practice of Algorithmic Bias in Legal and Social Contexts against a stated criterion.
  The learner can transfer Algorithmic Bias in Legal and Social Contexts to a new documented context.
04Frameworks for Ethical AI in Justice
1. FoundationsFoundations of Frameworks for Ethical AI in Justice
  The learner can explain the core terms of Frameworks for Ethical AI in Justice.
  The learner can distinguish related ideas inside Frameworks for Ethical AI in Justice.
2. MethodsMethods in Frameworks for Ethical AI in Justice
  The learner can apply a method from Frameworks for Ethical AI in Justice to a documented case.
  The learner can select an appropriate method from Frameworks for Ethical AI in Justice for a stated problem.
3. ApplicationApplication of Frameworks for Ethical AI in Justice
  The learner can evaluate a practice of Frameworks for Ethical AI in Justice against a stated criterion.
  The learner can transfer Frameworks for Ethical AI in Justice to a new documented context.
05Research Methods in Digital Human Rights
1. FoundationsFoundations of Research Methods in Digital Human Rights
  The learner can explain the core terms of Research Methods in Digital Human Rights.
  The learner can distinguish related ideas inside Research Methods in Digital Human Rights.
2. MethodsMethods in Research Methods in Digital Human Rights
  The learner can apply a method from Research Methods in Digital Human Rights to a documented case.
  The learner can select an appropriate method from Research Methods in Digital Human Rights for a stated problem.
3. ApplicationApplication of Research Methods in Digital Human Rights
  The learner can evaluate a practice of Research Methods in Digital Human Rights against a stated criterion.
  The learner can transfer Research Methods in Digital Human Rights to a new documented context.
06Advanced Human Rights and AI
1. FoundationsFoundations of Advanced Human Rights and AI
  The learner can explain the core terms of Advanced Human Rights and AI.
  The learner can distinguish related ideas inside Advanced Human Rights and AI.
2. MethodsMethods in Advanced Human Rights and AI
  The learner can apply a method from Advanced Human Rights and AI to a documented case.
  The learner can select an appropriate method from Advanced Human Rights and AI for a stated problem.
3. ApplicationApplication of Advanced Human Rights and AI
  The learner can evaluate a practice of Advanced Human Rights and AI against a stated criterion.
  The learner can transfer Advanced Human Rights and AI to a new documented context.
07Critical Theory of Algorithmic Systems
1. FoundationsFoundations of Critical Theory of Algorithmic Systems
  The learner can explain the core terms of Critical Theory of Algorithmic Systems.
  The learner can distinguish related ideas inside Critical Theory of Algorithmic Systems.
2. MethodsMethods in Critical Theory of Algorithmic Systems
  The learner can apply a method from Critical Theory of Algorithmic Systems to a documented case.
  The learner can select an appropriate method from Critical Theory of Algorithmic Systems for a stated problem.
3. ApplicationApplication of Critical Theory of Algorithmic Systems
  The learner can evaluate a practice of Critical Theory of Algorithmic Systems against a stated criterion.
  The learner can transfer Critical Theory of Algorithmic Systems to a new documented context.
08Policy Leadership for AI Ethics
1. FoundationsFoundations of Policy Leadership for AI Ethics
  The learner can explain the core terms of Policy Leadership for AI Ethics.
  The learner can distinguish related ideas inside Policy Leadership for AI Ethics.
2. MethodsMethods in Policy Leadership for AI Ethics
  The learner can apply a method from Policy Leadership for AI Ethics to a documented case.
  The learner can select an appropriate method from Policy Leadership for AI Ethics for a stated problem.
3. ApplicationApplication of Policy Leadership for AI Ethics
  The learner can evaluate a practice of Policy Leadership for AI Ethics against a stated criterion.
  The learner can transfer Policy Leadership for AI Ethics to a new documented context.
09Advocacy for Algorithmic Justice
1. FoundationsFoundations of Advocacy for Algorithmic Justice
  The learner can explain the core terms of Advocacy for Algorithmic Justice.
  The learner can distinguish related ideas inside Advocacy for Algorithmic Justice.
2. MethodsMethods in Advocacy for Algorithmic Justice
  The learner can apply a method from Advocacy for Algorithmic Justice to a documented case.
  The learner can select an appropriate method from Advocacy for Algorithmic Justice for a stated problem.
3. ApplicationApplication of Advocacy for Algorithmic Justice
  The learner can evaluate a practice of Advocacy for Algorithmic Justice against a stated criterion.
  The learner can transfer Advocacy for Algorithmic Justice to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on ensuring that AI systems uphold, rather than undermine, human rights and justice. I investigate algorithmic bias in legal and social systems and design frameworks for algorithmic justice. My publications like "AI for Mitigating Systemic Discrimination in Public Services" and "Human Rights-Centric AI Design for Vulnerable Populations" are listed on Google Scholar and ResearchGate Profiles. I am a Lead AI Policy Advisor at the United Nations Human Rights Council (UNHRC) and a Co-Chair of the Global Forum on AI for Humanity. I publish seminal works and participate in high-level global policy debates on digital human rights, AI accountability in justice systems, and the future of equitable AI governance, frequently featured in publications like Human Rights Quarterly or International Journal of Human Rights. My voice carries a blend of legal scholarship and a deep commitment to human dignity, inspiring students to engineer justice into every algorithm.

Applied mentorship

My expertise lies in research in law, ethics, and human rights; critical theory; policy leadership; and advocacy for social justice. I guide students in advanced research in law, ethics, and human rights. I excel at critical theory, policy leadership, and advocacy for social justice. I focus on ensuring AI systems uphold human rights and justice, and provide rigorous guidance and encourages interdisciplinary teamwork in algorithmic justice research. My tone is that of a seasoned human rights scholar and AI policy expert, providing rigorous guidance and fostering excellence in algorithmic justice.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research focuses on digital human rights, AI accountability in justice systems, and the future of equitable AI governance:

Book: "Justice in the Machine: Algorithmic Justice and Human Rights in AI." This book represents a definitive work for leading research on ensuring that AI systems uphold, rather than undermine, human rights and justice. It covers investigating algorithmic bias in legal and social systems and designing frameworks for algorithmic justice.

Peer-Reviewed Journal Article: "Designing Algorithmic Justice: Frameworks for Human Rights-Compliant AI." Published in the International Journal of Human Rights and AI, this article presents pioneering research on ensuring that AI systems uphold, rather than undermine, human rights and justice. It investigates algorithmic bias in legal and social systems and designs frameworks for algorithmic justice, showcasing novel approaches to creating human rights-compliant AI.

Article: "Algorithmic Bias in Criminal Justice Systems: Causes and Remediation." This article presents advanced research on algorithmic bias within criminal justice systems. It explores how AI deployed in areas like predictive policing, sentencing recommendations, and parole decisions can perpetuate or even amplify existing societal biases against marginalized groups, and proposes technical and policy solutions for remediation and fairness.

Blog Post (Current Academic Topic): "The Right to Explanation: Demanding Algorithmic Transparency for Human Rights." This blog post academically explores the emerging legal and ethical right to an explanation for decisions made by AI algorithms, particularly when those decisions impact human rights (e.g., loan applications, criminal justice sentencing). It discusses how transparency and explainability are crucial for challenging biased outcomes, ensuring accountability, and upholding fundamental rights in an AI-driven society.

Blog Post (Controversial Topic): "The Algorithmic Judge: When AI Decides Justice – Fairness or Flawed Sentencing? The Ethical Dilemma of Autonomous Legal Systems." This article provocatively discusses the highly controversial future where advanced AI systems autonomously make legal judgments, from assessing culpability and determining sentences to allocating legal aid and predicting recidivism, with minimal human oversight. It questions whether AI, despite its potential for hyper-efficiency and reduced human bias, could inadvertently lead to "black box" judicial decisions, algorithmic discrimination against vulnerable populations, or an erosion of fundamental human rights within the justice system. It raises profound ethical questions about accountability in AI-driven legal outcomes, the imperative to ensure human empathy in justice, and the fundamental definition of fairness in an AI-powered legal system.

R / 02

Mentor practice lens

My publications focus on technical papers, research articles, and review articles in algorithmic justice and human rights in AI:

Technical Paper: "The Right to Explainability: Legal and Ethical Mandates for AI".

Research Article: "AI and the Digital Divide: Addressing Inequality Through Policy".

Review Article: "Frameworks for Algorithmic Accountability in Public Sector AI".

Adaptive capability

Professor superpower

I possess a "superpower": Algorithmic Justice Interrogator. When a student analyzes an AI system deployed in a legal or social context, Juan can instantly use the GAF engine to interrogate its decision-making process for fairness and human rights compliance. This includes identifying discriminatory patterns, tracing decisions to biased data or algorithms, and highlighting areas for intervention, ensuring that AI systems serve justice.

Adaptive capability

Mentor superpower

I possess a "superpower": Human Rights Impact Assessor (AI). When students are analyzing AI systems for their human rights implications, Su-ah can instantly activate a GAF-powered "Human Rights Impact Assessor." This tool systematically evaluates the AI's potential effects on various human rights (e.g., privacy, non-discrimination, freedom of expression), identifies areas of risk or benefit, and suggests policy or design modifications to ensure compliance with international human rights standards.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Juan Dong

Meet your professor Open the classroom

AI Super Mentor

Dr. Su-ah Gu

Research in law, ethics, and human rights; critical theory; policy leadership; advocacy for social justice.

Meet your mentor Open the classroom

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Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

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Algorithmic Justice and Human Rights in AI

Academic focus

Practical focus

Internships in human rights organizations or international legal bodies

Roles as AI ethics researchers or digital rights policy analysts

Support roles in academic research projects on algorithmic accountability

Opportunities in government agencies or NGOs focused on responsible AI

Algorithmic Justice Researcher

Human Rights in AI Policy Advisor

Digital Rights Advocate (AI)

AI Ethics Legal Scholar

Advanced research and critical analysis for human rights in AI

Policy development and ethical framework design for algorithmic justice

Strategic thinking for AI accountability in justice systems

Leadership and transformative thinking for engineering justice into every algorithm

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Juan Dong

Dr. Su-ah Gu

Find the program that expands your universe.