Table of Contents

Workshop Registration End Date :2025-04-02

Virtual Workshop

AI and Transitional Justice: Modeling Reparations for Historical Crimes

Harnessing AI to Advance Justice and Reconciliation

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Days

Start Date
2 -April -2025

Time
3:00 PM IST

About

Transitional justice refers to legal and policy mechanisms aimed at addressing past human rights violations, war crimes, and systemic injustices. AI is revolutionizing historical crime analysis, reparations modeling, and truth commissions by providing data-driven insights, automation, and predictive analytics. This program introduces participants to AI-enhanced reparations frameworks, forensic evidence verification, and digital justice tools for accountability and reconciliation.

Aim

The AI and Transitional Justice Program aims to equip legal scholars, policymakers, and human rights advocates with the knowledge and tools to leverage artificial intelligence (AI) for modeling reparations, accountability, and truth-seeking processes in historical injustices. This program explores AI’s role in forensic analysis, data-driven reparation models, predictive justice, and ethical considerations in transitional justice efforts.

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Workshop Objectives

To introduce participants to AI applications in transitional justice & reparations
To train professionals in AI-powered forensic & archival research
To develop AI models for fair & data-driven reparations
To explore blockchain & digital tools for justice & transparency
To discuss the future of AI in global justice & human rights policies

Workshop Structure

Day 1: Introduction to Transitional Justice and AI Integration

Section 1: Understanding Transitional Justice

What is Transitional Justice?
- Key components: Truth-seeking, Justice, Reparations, and Guarantees of Non-Recurrence
- Historical context: Post-conflict and post-authoritarian societies
- Case studies: South Africa’s Truth and Reconciliation Commission, Argentina’s Post-Dictatorship Trials
Challenges in Delivering Reparative Justice
- Establishing historical truth with limited or biased records
- Evaluating the impact of historical crimes on current communities
- Balancing restitution, compensation, and reconciliation

Section 2: The Role of AI in Transitional Justice

AI Tools for Legal and Historical Analysis
- Natural Language Processing (NLP) for document analysis
- Machine Learning (ML) for predictive analytics and data classification
- AI in decision support systems for legal reparations
Identifying Use Cases of AI in Reparations
- Analyzing historical archives and testimonies
- Quantifying damages and modeling reparative frameworks

Day 2: Modeling Reparations Using AI Techniques

Section 1: Data Collection and Analysis for Historical Crimes

Historical Data Sources for Transitional Justice
- Archives, testimonies, court records, and government documents
- Ethical considerations in handling sensitive data
Applying AI for Data Analysis
- Using NLP to analyze written testimonies and legal documents
- AI-driven sentiment analysis to gauge community impact
Predictive Modeling of Reparative Measures
- Quantifying economic and psychological damages
- Building predictive models to suggest appropriate reparations

Section 2: AI-Driven Decision-Making in Reparative Justice

Designing AI Systems for Reparations Allocation
- Balancing individual vs. community reparations
- Automating the distribution of compensation and support services
AI in Truth-Seeking and Restorative Justice Processes
- Enhancing truth commissions with AI-driven analytics
- Modeling reconciliation scenarios and their long-term impact

Day 3: Ethical Considerations, Implementation, and Future Directions

Section 1: Ethics, Bias, and Legal Considerations of AI in Transitional Justice

Addressing Bias in AI Models
- Avoiding historical and data-driven biases in AI analysis
- Ensuring fairness, transparency, and accountability
Legal and Ethical Implications of AI in Reparative Justice
- Compliance with international human rights standards
- Protecting the rights of victims and survivors
Engaging Communities in AI-Driven Transitional Justice
- Integrating human oversight and community input in AI systems
- Promoting healing and reconciliation through transparent processes

Section 2: Future Trends and Practical Implementation of AI in Transitional Justice

Innovative Applications of AI in Historical Justice
- Using AI for digital memorials and education
- Supporting policy development for reparative programs
Career Opportunities and Skill Development
- Roles in LegalTech, Human Rights Organizations, and Historical Research
- Certifications and training for professionals in AI and Transitional Justice

Participant’s Eligibility

Human Rights Lawyers & Legal Scholars
Transitional Justice & Policy Experts
AI & Legal Tech Researchers
NGOs & Social Justice Advocates
Government Officials & Reconciliation Commissions

Important Dates

Registration Ends

2025-04-02
Indian Standard Timing 1:00 pm

Workshop Dates

2025-04-02 to 2025-04-04
Indian Standard Timing 3:00 PM

Workshop Outcomes

✔ Understand AI’s role in transitional justice & historical accountability
✔ Learn how AI models reparations & economic justice frameworks
✔ Gain expertise in digital forensics, AI-powered legal analysis & evidence gathering
✔ Explore ethical considerations & bias mitigation in AI-driven justice
✔ Be prepared for careers at the intersection of AI, law, and human rights

Mentor Profile

Name: Dr. Teena
Designation: Assistant Professor
Affiliation: GD Goenka university

Dr. Teena is law graduate from Maharashi Dayanand University, Haryana. She did her LL.M. from Bhagat Phool Singh University, Sonepat with specialization in Corporate Laws. She qualified National Eligibility Test conducted by UGC in Dec 2014. She completed her Ph. D in 2019 from Amity University Gurugram.
She has natural flair for teaching and research. During her teaching, she won many accolades including, Chancellor’s Award for Excellence in Innovative Teaching Pedagogy in K R Mangalam University. Her research paper was awarded with best research paper at one day National Conference on Social-Legal Impact of Environment Jurisprudence in the 21st Century, dated 21st October 2021. So far she has published 11 research papers and chapters in various journal and books and has also presented 15 research papers in National and International Conferences. Her areas of interest are Environmental Laws, IPR, Family Law and Criminal Laws

Fee Structure

Student

INR. 1999
USD. 45

Ph.D. Scholar / Researcher

INR. 2499
USD. 50

Academician / Faculty

INR. 2999
USD. 55

Industry Professional

INR. 4999
USD. 75

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