Machine Learning in Human Rights: Case Studies and Considerations

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Explores legal and ethical aspects of the human body, detached parts, and organ harvesting, including ownership and research implications.

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Explores data privacy challenges and perspectives in eHealth research, focusing on GDPR compliance, sensitive health data management, and decentralized agents.

AI & Ethics: Business Impact

Delves into the business impact of AI, ethical challenges, and consumer trust in technology.

Privacy: Threat Modeling and Differential Privacy

Explores the significance of privacy, risks of targeted advertising, and the concept of differential privacy.

Machine Learning in Philanthropy and Non-Profit

Delves into the application of machine learning in enhancing human rights documentation and advocacy for organizations like HURIDOCS.

Data Protection Law: Principles and Rights

Covers the principles and rights of data protection law under GDPR.

Privacy-Preserving Federated Analytics for Personalized Medicine

Delves into privacy-preserving federated analytics for personalized medicine, discussing challenges, solutions, and real-world applications.

Safe Machine Learning: Cryptographic Opportunities

Explores the intersection between machine learning and cryptography, focusing on safe machine learning through cryptographic tools and models.

Privacy Technologies and Data Protection

Explores privacy technologies, data protection, surveillance risks, and Privacy Enhancing Technologies for social and institutional privacy.

Legal Status of Human Body and Detached Parts

Explores the legal status of the human body and detached parts, focusing on personhood, property rights, and ethical considerations.