AI and Human Rights Monitoring: Detecting Atrocity Crimes
Empowering Human Rights Defenders with AI for Detecting and Preventing Atrocity Crimes
Virtual (Google Meet)
Mentor Based
Moderate
3 Days
7 -April -2025
4:30 PM IST
About
AI is increasingly used in the field of human rights monitoring to analyze large datasets, process visual evidence, track violations, and provide early warnings of potential atrocity crimes. This program will explore how machine learning, image and video recognition, NLP, and other AI techniques can detect patterns of violence, analyze online and offline data, and support humanitarian interventions. Participants will also learn about ethical issues and human rights considerations in using AI for atrocity detection.
Aim
The AI and Human Rights Monitoring Program aims to equip human rights professionals, legal experts, activists, and policymakers with the knowledge and tools to utilize artificial intelligence (AI) for monitoring and detecting atrocity crimes, including genocide, war crimes, and crimes against humanity. This program covers AI-powered data analysis, image recognition, natural language processing (NLP), and predictive models to identify and respond to human rights violations in real-time.
Workshop Objectives
- To introduce AI’s role in human rights monitoring and atrocity detection
- To provide hands-on experience in building and using AI tools for human rights investigations
- To explore ethical challenges and legal frameworks in AI-based human rights monitoring
- To equip participants with predictive models and AI strategies for early intervention in conflict zones
- To foster collaborations between NGOs, governments, and tech experts for data-driven human rights protection
Workshop Structure
📅 Day 1: Introduction to Human Rights Monitoring and AI Technologies
Module 1: Understanding Human Rights Monitoring
- The Importance of Human Rights Monitoring
- Overview of international human rights standards (UN Declaration of Human Rights, Geneva Conventions)
- Challenges in monitoring human rights violations globally
- The role of organizations like Human Rights Watch, Amnesty International, and the UN in monitoring atrocities
- Types of Atrocity Crimes
- Defining and categorizing genocide, war crimes, ethnic cleansing, and crimes against humanity
- Case studies: Rwanda, Bosnia, Myanmar, and Syria
- Limitations in Traditional Human Rights Monitoring
- Issues of accessibility, data collection, and bias in reporting
- Ethical concerns around monitoring and reporting atrocities
Module 2: Introduction to AI and Its Role in Human Rights Monitoring
- AI Technologies in Human Rights
- Overview of AI tools used for detecting and monitoring atrocities
- Machine Learning (ML), Natural Language Processing (NLP), Image Recognition, and Big Data in human rights monitoring
- AI for Analyzing Large-Scale Human Rights Data
- Using AI to process large datasets (social media, satellite imagery, testimonies)
- Detecting patterns and anomalies in historical data
📅 Day 2: AI Techniques for Detecting Atrocity Crimes and Analyzing Data
Module 3: Machine Learning and NLP for Human Rights Monitoring
- Machine Learning for Crime Detection
- Supervised vs. unsupervised learning: Applying AI to monitor human rights violations
- Building machine learning models for crime detection
- Natural Language Processing for Text Analysis
- Using NLP to analyze documents, reports, and testimonies
- Text mining and sentiment analysis to identify early signs of human rights violations
Module 4: Image Recognition and Video Analysis for Atrocity Detection
- AI in Image and Video Monitoring
- Analyzing satellite images, drone footage, and social media videos to detect evidence of atrocities
- Tools and algorithms for image classification and anomaly detection
- Deep Learning and Convolutional Neural Networks (CNNs)
- How CNNs are used for detecting signs of violence, displacement, and destruction
- Real-time video analysis for identifying perpetrators and victims
📅 Day 3: Ethical Considerations, Implementation, and Future Directions
Module 5: Ethical and Legal Challenges in AI for Human Rights
- Bias in AI Models
- Identifying and addressing biases in training datasets
- Ensuring fairness and transparency in AI decision-making
- Privacy and Data Protection
- Ethical concerns related to the surveillance of vulnerable populations
- Ensuring informed consent and privacy rights in data collection
- Human Oversight in AI Monitoring
- Balancing AI automation with human judgment and ethical considerations
- Building accountability structures in AI-driven human rights monitoring
Module 6: Future Directions and Impact of AI in Human Rights Monitoring
- AI and Global Advocacy for Human Rights
- How AI tools can support international human rights advocacy campaigns
- Real-world applications: Case studies of AI in detecting atrocities in Syria, Myanmar, and Yemen
- AI for Policy Change and Justice
- Using AI insights to advocate for international justice and accountability
- Potential for AI to support transitional justice processes and post-conflict reconstruction
Participant’s Eligibility
- Human Rights Lawyers & Legal Scholars
- Humanitarian Organizations & NGOs
- AI Developers and Data Scientists in the Legal/NGO Sector
- Policy Makers & Government Officials in Conflict Zones
- Social Media Analysts & Investigators
- Academics & Researchers in Human Rights and Technology
Important Dates
Registration Ends
2025-04-07
Indian Standard Timing 2:00 PM
Workshop Dates
2025-04-07 to 2025-04-09
Indian Standard Timing 4:30 PM
Workshop Outcomes
✔ Understand AI technologies and their applications in human rights monitoring
✔ Gain hands-on experience with AI-powered tools for atrocity crime detection
✔ Learn to build predictive models to detect early signs of conflict
✔ Understand how to ethically use AI in the context of human rights monitoring
✔ Be prepared to work at the intersection of AI, human rights, and global justice
Mentor Profile
Designation: Assistant Professor
Affiliation:
Dr. Aqsa is an Assistant Professor and researcher with over a decade of professional experience in academia and research, specializing in Criminal Law. She has supervised 40 undergraduate theses and served as a project coordinator for the ‘Standardized Module for Legal Awareness Program,’ a project undertaken by Jamia Millia Islamia in collaboration with the National Commission for Women in 2014. She has published six papers in reputed law journals and has presented numerous papers at national seminars and conferences on legal issues. She was honored with the Best Paper Presentation award in the field of Victimology. In addition to her research, she is actively involved in delivering guest lectures, judging moot court competitions, and serving as a resource person for workshops on legal issues at national forums.
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
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- AI for Human Rights Researcher
- Human Rights Monitoring Specialist
- Data Scientist for International Law and Human Rights
- AI Ethics Consultant for Human Rights
- Humanitarian Technology Specialist
Job Opportunities
- Human Rights Organizations (Amnesty International, Human Rights Watch)
- Government Agencies (UN, EU, National Human Rights Institutions)
- AI & Tech Firms with Humanitarian Partnerships
- Research and Academic Institutions in Law and Technology
- NGOs focusing on Conflict Prevention & Crisis Management
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