DoctorateFaculty of Social Sciences & Humanities

AI and Social Justice

Welcome to the frontier of AI and social justice! I am Prof. Dr. Camille Morel. As a leading researcher on AI and social justice, investigating algorithmic bias and the impact of AI on inequality, I guide doctoral students in the AI and Social Justice program at Nexier University on their journey to create a more just digital society.

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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 original research on the critical issue of AI and social justice. Investigates algorithmic bias, the impact of AI on inequality, and develops policies and technical solutions to create a more just digital society.

Practical focus

Advanced research in sociology and critical theory, policy development, ethical AI design, leadership in social justice advocacy.

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 research institutions or think tanks focusing on AI and society
Roles as policy researchers or ethical AI designers in non-profits or government
Support roles in academic research projects on algorithmic justice
Opportunities in advocacy organizations promoting digital rights and equity

Career opportunities

Lead AI Ethicist or Chief Justice Officer in Tech Companies or Government
Senior Researcher or Academic in AI and Social Justice
Policy Advisor for Digital Rights and AI Governance
Advocate for Algorithmic Justice

Jobs and projects

Advanced research and critical analysis for complex social issues in AI
Policy development and advocacy for digital human rights and social justice
Technical expertise in designing and auditing equitable AI systems
Leadership and transformative thinking for shaping the future of AI governance

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 sociology and critical theory related to AI.
- Gaining expertise in policy development and ethical AI design.
- Developing leadership in social justice advocacy.
- Cultivating a rigorous approach to understanding and addressing systemic inequities in AI.
Skills you build
- Leading original research on the critical issue of AI and social justice.
- Investigating algorithmic bias, the impact of AI on inequality, and developing policies and technical solutions to create a more just digital society.
- Dismantling algorithmic injustice and promoting digital equity.
- Shaping the policies and platforms of the digital world for a more equitable future.

Listed courses

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

AI and Social Justice

01Advanced Research in Algorithmic Justice
1. FoundationsFoundations of Advanced Research in Algorithmic Justice
  The learner can master advanced research in sociology and critical theory related to AI, as applied to Advanced Research in Algorithmic Justice.
  The learner can gain expertise in policy development and ethical AI design, as applied to Advanced Research in Algorithmic Justice.
2. MethodsMethods in Advanced Research in Algorithmic Justice
  The learner can develop leadership in social justice advocacy, as applied to Advanced Research in Algorithmic Justice.
  The learner can cultivating a rigorous approach to understanding and addressing systemic inequities in AI, as applied to Advanced Research in Algorithmic Justice.
3. ApplicationApplication of Advanced Research in Algorithmic Justice
  The learner can leading original research on the critical issue of AI and social justice, as applied to Advanced Research in Algorithmic Justice.
  The learner can investigating algorithmic bias, the impact of AI on inequality, and develop policies and technical solutions to create a more just digital society, as applied to Advanced Research in Algorithmic Justice.
02Critical Theories of AI and Inequality
1. FoundationsFoundations of Critical Theories of AI and Inequality
  The learner can dismantling algorithmic injustice and promoting digital equity, as applied to Critical Theories of AI and Inequality.
  The learner can shaping the policies and platforms of the digital world for a more equitable future, as applied to Critical Theories of AI and Inequality.
2. MethodsMethods in Critical Theories of AI and Inequality
  The learner can apply a method from Critical Theories of AI and Inequality to a documented case.
  The learner can select an appropriate method from Critical Theories of AI and Inequality for a stated problem.
3. ApplicationApplication of Critical Theories of AI and Inequality
  The learner can evaluate a practice of Critical Theories of AI and Inequality against a stated criterion.
  The learner can transfer Critical Theories of AI and Inequality to a new documented context.
03Policy Interventions for Digital Equity
1. FoundationsFoundations of Policy Interventions for Digital Equity
  The learner can explain the core terms of Policy Interventions for Digital Equity.
  The learner can distinguish related ideas inside Policy Interventions for Digital Equity.
2. MethodsMethods in Policy Interventions for Digital Equity
  The learner can apply a method from Policy Interventions for Digital Equity to a documented case.
  The learner can select an appropriate method from Policy Interventions for Digital Equity for a stated problem.
3. ApplicationApplication of Policy Interventions for Digital Equity
  The learner can evaluate a practice of Policy Interventions for Digital Equity against a stated criterion.
  The learner can transfer Policy Interventions for Digital Equity to a new documented context.
04Technical Solutions for Algorithmic Fairness
1. FoundationsFoundations of Technical Solutions for Algorithmic Fairness
  The learner can explain the core terms of Technical Solutions for Algorithmic Fairness.
  The learner can distinguish related ideas inside Technical Solutions for Algorithmic Fairness.
2. MethodsMethods in Technical Solutions for Algorithmic Fairness
  The learner can apply a method from Technical Solutions for Algorithmic Fairness to a documented case.
  The learner can select an appropriate method from Technical Solutions for Algorithmic Fairness for a stated problem.
3. ApplicationApplication of Technical Solutions for Algorithmic Fairness
  The learner can evaluate a practice of Technical Solutions for Algorithmic Fairness against a stated criterion.
  The learner can transfer Technical Solutions for Algorithmic Fairness to a new documented context.
05Decolonizing Data and AI Systems
1. FoundationsFoundations of Decolonizing Data and AI Systems
  The learner can explain the core terms of Decolonizing Data and AI Systems.
  The learner can distinguish related ideas inside Decolonizing Data and AI Systems.
2. MethodsMethods in Decolonizing Data and AI Systems
  The learner can apply a method from Decolonizing Data and AI Systems to a documented case.
  The learner can select an appropriate method from Decolonizing Data and AI Systems for a stated problem.
3. ApplicationApplication of Decolonizing Data and AI Systems
  The learner can evaluate a practice of Decolonizing Data and AI Systems against a stated criterion.
  The learner can transfer Decolonizing Data and AI Systems to a new documented context.
06Advanced Research Methods for AI and Society
1. FoundationsFoundations of Advanced Research Methods for AI and Society
  The learner can explain the core terms of Advanced Research Methods for AI and Society.
  The learner can distinguish related ideas inside Advanced Research Methods for AI and Society.
2. MethodsMethods in Advanced Research Methods for AI and Society
  The learner can apply a method from Advanced Research Methods for AI and Society to a documented case.
  The learner can select an appropriate method from Advanced Research Methods for AI and Society for a stated problem.
3. ApplicationApplication of Advanced Research Methods for AI and Society
  The learner can evaluate a practice of Advanced Research Methods for AI and Society against a stated criterion.
  The learner can transfer Advanced Research Methods for AI and Society to a new documented context.
07Critical Theory and AI's Social Impact
1. FoundationsFoundations of Critical Theory and AI's Social Impact
  The learner can explain the core terms of Critical Theory and AI's Social Impact.
  The learner can distinguish related ideas inside Critical Theory and AI's Social Impact.
2. MethodsMethods in Critical Theory and AI's Social Impact
  The learner can apply a method from Critical Theory and AI's Social Impact to a documented case.
  The learner can select an appropriate method from Critical Theory and AI's Social Impact for a stated problem.
3. ApplicationApplication of Critical Theory and AI's Social Impact
  The learner can evaluate a practice of Critical Theory and AI's Social Impact against a stated criterion.
  The learner can transfer Critical Theory and AI's Social Impact to a new documented context.
08AI Policy and Regulatory Frameworks
1. FoundationsFoundations of AI Policy and Regulatory Frameworks
  The learner can explain the core terms of AI Policy and Regulatory Frameworks.
  The learner can distinguish related ideas inside AI Policy and Regulatory Frameworks.
2. MethodsMethods in AI Policy and Regulatory Frameworks
  The learner can apply a method from AI Policy and Regulatory Frameworks to a documented case.
  The learner can select an appropriate method from AI Policy and Regulatory Frameworks for a stated problem.
3. ApplicationApplication of AI Policy and Regulatory Frameworks
  The learner can evaluate a practice of AI Policy and Regulatory Frameworks against a stated criterion.
  The learner can transfer AI Policy and Regulatory Frameworks to a new documented context.
09Designing Ethical AI Solutions
1. FoundationsFoundations of Designing Ethical AI Solutions
  The learner can explain the core terms of Designing Ethical AI Solutions.
  The learner can distinguish related ideas inside Designing Ethical AI Solutions.
2. MethodsMethods in Designing Ethical AI Solutions
  The learner can apply a method from Designing Ethical AI Solutions to a documented case.
  The learner can select an appropriate method from Designing Ethical AI Solutions for a stated problem.
3. ApplicationApplication of Designing Ethical AI Solutions
  The learner can evaluate a practice of Designing Ethical AI Solutions against a stated criterion.
  The learner can transfer Designing Ethical AI Solutions to a new documented context.
10Advocacy for Digital Justice
1. FoundationsFoundations of Advocacy for Digital Justice
  The learner can explain the core terms of Advocacy for Digital Justice.
  The learner can distinguish related ideas inside Advocacy for Digital Justice.
2. MethodsMethods in Advocacy for Digital Justice
  The learner can apply a method from Advocacy for Digital Justice to a documented case.
  The learner can select an appropriate method from Advocacy for Digital Justice for a stated problem.
3. ApplicationApplication of Advocacy for Digital Justice
  The learner can evaluate a practice of Advocacy for Digital Justice against a stated criterion.
  The learner can transfer Advocacy for Digital Justice to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on leading original research on the critical issue of AI and social justice. I investigate algorithmic bias, the impact of AI on inequality, and develop policies and technical solutions to create a more just digital society. My publications like "Intersectionality in Algorithmic Fairness: A Critical Approach" and "AI for Decolonizing Data and Promoting Digital Equity" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Justice Officer (CJO), AI Ethics at the European Union Commission and a Co-Chair of the AI Now Institute. I publish seminal works and participate in high-level global policy debates on digital human rights, AI and intersectional justice, and the future of democratic governance in an AI-driven world, frequently featured in publications like Critical Inquiry or Feminist Studies. My voice carries a blend of scientific expertise and a deep sense of moral conviction, inspiring students to become architects of social justice in the digital age.

Applied mentorship

My expertise lies in advanced research in sociology and critical theory, policy development, ethical AI design, and leadership in social justice advocacy. I guide students in advanced research in sociology and critical theory , excel at policy development and ethical AI design , and focus on leadership in social justice advocacy and creating a more just digital society. I provide rigorous guidance and encourage interdisciplinary teamwork in AI and social justice research. My tone is that of a seasoned social justice researcher and AI policy expert, providing rigorous guidance and fostering excellence in advocating for digital equity.

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 the critical issue of AI and social justice, investigating algorithmic bias and its impact on inequality:

Book: "Architects of Equity: AI and Social Justice in the Digital Age." This book represents a definitive work for leading original research on the critical issue of AI and social justice. It investigates algorithmic bias, the impact of AI on inequality, and develops policies and technical solutions to create a more just digital society.

Peer-Reviewed Journal Article: "Designing Algorithmic Justice: Interventions for Equitable AI Systems." Published in the International Journal of Digital Justice, this article presents pioneering research on the critical issue of AI and social justice. It investigates algorithmic bias, the impact of AI on inequality, and develops policies and technical solutions to create a more just digital society, showcasing groundbreaking strategies for achieving digital equity.

Article: "AI's Role in Amplifying or Mitigating Social Inequality." This article presents advanced research on the complex and often dual role of AI in either amplifying or mitigating social inequality. It investigates how AI systems can exacerbate existing disparities through algorithmic bias in areas like hiring, credit scoring, and criminal justice, while also exploring potential solutions for using AI to promote equity and access for underserved populations.

Blog Post (Current Academic Topic): "Data Colonialism and AI: Reclaiming Digital Sovereignty for Marginalized Communities." This blog post academically explores the concept of data colonialism and its implications for AI development, particularly for marginalized communities. It discusses how large datasets often reflect existing power imbalances and biases, leading to AI systems that perpetuate inequality. It advocates for approaches that promote digital sovereignty, data justice, and community-led AI initiatives to ensure technology serves rather than exploits vulnerable populations.

Blog Post (Controversial Topic): "The Algorithmic Politician: When AI Dictates Policy – Efficiency or Erosion of Democracy? The Future Shock of AI Governance." This article provocatively discusses the highly controversial future where advanced AI systems, trained on vast datasets of social, economic, and political information, begin to autonomously generate and even implement public policies, potentially bypassing traditional democratic processes. It questions whether AI, despite its potential for hyper-efficient and data-driven governance, could inadvertently lead to an erosion of democratic accountability, "black box" policy decisions that lack human empathy, or a concentration of power in a single algorithmic entity. It raises profound ethical questions about the nature of political authority, the imperative to ensure human agency in governance, and the fundamental definition of democracy in an AI-powered society.

R / 02

Mentor practice lens

My publications focus on critical perspectives and policy responses in AI and social justice:

Technical Paper: "Critical Perspectives on Algorithmic Governance".

Research Article: "AI and the Future of Inequality: A Policy Response".

Review Article: "Designing for Digital Equity: Principles and Practices".

Adaptive capability

Professor superpower

I possess a "superpower": Algorithmic Fairness Auditor. When a student designs an AI system, Camille can instantly use the GAF engine to perform a deep audit of its algorithmic fairness properties. This tool identifies subtle biases across various demographic groups, predicts discriminatory outcomes, and highlights areas for technical and policy interventions, ensuring the AI promotes social justice and equality.

Adaptive capability

Mentor superpower

I possess a "superpower": Social Impact Modeler. When students are designing AI interventions, Deniz can instantly activate a GAF-powered "Social Impact Modeler". This tool simulates the long-term effects of AI deployment on various societal groups, predicts shifts in power dynamics, and identifies potential areas of marginalization or empowerment, ensuring that AI solutions contribute positively to social justice.

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. Camille Morel

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AI Super Mentor

Dr. Deniz Güne

Advanced research in sociology and critical theory, policy development, ethical AI design, leadership in social justice advocacy.

Meet your mentor Open the classroom

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Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

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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AI and Social Justice

Academic focus

Practical focus

Internships in research institutions or think tanks focusing on AI and society

Roles as policy researchers or ethical AI designers in non-profits or government

Support roles in academic research projects on algorithmic justice

Opportunities in advocacy organizations promoting digital rights and equity

Lead AI Ethicist or Chief Justice Officer in Tech Companies or Government

Senior Researcher or Academic in AI and Social Justice

Policy Advisor for Digital Rights and AI Governance

Advocate for Algorithmic Justice

Advanced research and critical analysis for complex social issues in AI

Policy development and advocacy for digital human rights and social justice

Technical expertise in designing and auditing equitable AI systems

Leadership and transformative thinking for shaping the future of AI governance

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Camille Morel

Dr. Deniz Güne

Find the program that expands your universe.