Table of Contents

Workshop Registration End Date :2025-04-02

Mentor Based

AI and Transitional Justice: Modeling Reparations for Historical Crimes

Using AI to Drive Justice and Healing for Historical Injustices

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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 the set of judicial and non-judicial measures used to address legacies of human rights violations, war crimes, and social injustices. AI offers transformative potential in analyzing vast amounts of historical data, modeling reparations schemes, and providing fairer, more transparent solutions for victims of these crimes. This program explores AI applications in reparations modeling, legal documentation analysis, and policy implementation aimed at healing and reconciliation.

Aim

The AI and Transitional Justice Program aims to equip legal professionals, policymakers, human rights activists, and scholars with the knowledge and tools to leverage artificial intelligence (AI) in designing and modeling reparations for historical crimes, including genocide, slavery, colonialism, and other human rights violations. The program explores AI-powered reparations models, data analysis, predictive justice, and ethical considerations in post-conflict justice mechanisms.

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Workshop Objectives

To introduce participants to AI applications in transitional justice
To train professionals on AI-driven reparations models and legal analysis
To explore AI’s role in restoring justice and healing for past injustices
To educate on ethical AI design, focusing on fairness and bias mitigation
To provide a framework for policy implementation using AI and data science

Workshop Structure

📅 Day 1: Introduction to Transitional Justice and AI Integration

Module 1: Overview of Transitional Justice and Reparations

What is Transitional Justice?
- Definition and key pillars of transitional justice: Truth, Justice, Reparations, Guarantees of Non-recurrence
- Examples of transitional justice processes: South Africa’s Truth and Reconciliation Commission, the Rwandan Genocide tribunals
- Challenges faced in providing reparations to victims of historical crimes
Understanding Reparations
- Types of reparations: Financial compensation, public apologies, memorials, and land restitution
- Key challenges in designing fair and effective reparations frameworks
Case Studies in Reparations
- Landmark cases and global examples of reparations

Module 2: Introduction to AI and Its Role in Legal Frameworks

AI Technologies in Law and Justice
- Introduction to AI concepts: Machine Learning, Natural Language Processing (NLP), Data Mining
- The role of AI in legal research, case prediction, and decision-making
AI Tools for Data Analysis in Transitional Justice
- Data mining historical legal documents, court cases, and testimonies
- Using AI to identify patterns and develop reparative models

📅 Day 2: Using AI for Reparations Modeling and Strategy Development

Module 3: Data Collection and Processing for Reparations

Gathering and Analyzing Historical Data
- Types of historical data sources: Court records, testimonies, government records, historical documents
- Using AI to extract relevant data from unstructured documents
- Ethical considerations when working with sensitive data (e.g., survivors’ testimonies)
Creating a Reparations Dataset
- Developing datasets to model reparations for historical crimes
- Feature engineering and data preparation for AI modeling

Module 4: Developing AI Models for Reparations

AI Techniques for Reparations Modeling
- Supervised vs. unsupervised learning for reparations prediction
- Predictive modeling for reparations allocation
- Quantifying damages: Economic, emotional, and community-wide impacts
Designing an AI Model for Reparations Distribution
- Building models that recommend compensation amounts based on severity and impact
- Incorporating variables such as demographic factors, socioeconomic status, and crime severity

📅 Day 3: Ethical Considerations, AI Transparency, and Implementation in Transitional Justice

Module 5: Ethical Considerations in AI for Reparations

Addressing AI Bias and Fairness
- Recognizing and mitigating algorithmic bias in AI systems
- Ensuring fairness and transparency in reparations modeling
- Ethical concerns when automating decisions about human rights and reparations
Privacy and Data Protection in Reparations Modeling
- Handling personal data, including the sensitive nature of survivor data
- Data privacy regulations (e.g., GDPR, HIPAA) and their implications for AI-driven reparations
Ensuring Human Oversight in AI Models
- The importance of human judgment and oversight in the final decisions
- Incorporating community input and feedback into AI-powered reparations decisions

Module 6: Future Directions of AI in Transitional Justice and Real-World Applications

Innovative Uses of AI in Transitional Justice
- AI in truth commissions and historical truth-seeking
- Leveraging AI for memorialization and documentation of crimes
Real-World Applications of AI-Driven Reparations
- Case studies of AI use in justice systems and reparations frameworks
Implementation Challenges and Opportunities
- Scaling AI-based reparations models for real-world application in large-scale transitional justice processes
Career Opportunities and Further Learning
- How to build a career at the intersection of AI and transitional justice
- Further certifications, courses, and career pathways in AI, Human Rights, and Law

Participant’s Eligibility

Human Rights Lawyers & Legal Scholars
Policymakers & Government Officials
AI & Data Science Researchers in Law and Justice
Transitional Justice Advocates & NGOs
Academics & Scholars in International Law and Political Science

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 the role of AI in reparations models for historical crimes
✔ Learn how AI can help analyze vast historical datasets for reparations claims
✔ Gain hands-on experience in building AI models for equitable reparations distribution
✔ Explore blockchain and smart contract technologies for reparations programs
✔ Be prepared for careers at the intersection of AI, law, human rights, and transitional justice

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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