Tootfinder

This analysis is excellent. https://vmst.io/@jalefkowit/112395778142383567

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi
https://arxiv.org/abs/2404.19744 https://arxiv.org/pdf/2404.19744
arXiv:2404.19744v1 Announce Type: new
Abstract: Data protection and privacy is becoming increasingly crucial in the digital era. Numerous companies depend on third-party vendors and service providers to carry out critical functions within their operations, encompassing tasks such as data handling and storage. However, this reliance introduces potential vulnerabilities, as these vendors' security measures and practices may not always align with the standards expected by regulatory bodies. Businesses are required, often under the penalty of law, to ensure compliance with the evolving regulatory rules. Interpreting and implementing these regulations pose challenges due to their complexity. Regulatory documents are extensive, demanding significant effort for interpretation, while vendor-drafted privacy policies often lack the detail required for full legal compliance, leading to ambiguity. To ensure a concise interpretation of the regulatory requirements and compliance of organizational privacy policy with said regulations, we propose a Large Language Model (LLM) and Semantic Web based approach for privacy compliance. In this paper, we develop the novel Privacy Policy Compliance Verification Knowledge Graph, PrivComp-KG. It is designed to efficiently store and retrieve comprehensive information concerning privacy policies, regulatory frameworks, and domain-specific knowledge pertaining to the legal landscape of privacy. Using Retrieval Augmented Generation, we identify the relevant sections in a privacy policy with corresponding regulatory rules. This information about individual privacy policies is populated into the PrivComp-KG. Combining this with the domain context and rules, the PrivComp-KG can be queried to check for compliance with privacy policies by each vendor against relevant policy regulations. We demonstrate the relevance of the PrivComp-KG, by verifying compliance of privacy policy documents for various organizations.

The UK plans to refer RedBird's Telegraph takeover for an in-depth review, giving it more time to change the law to formally block the deal in the next months (Daniel Thomas/Financial Times)
https://t.co/JFCxLc4BPf

#Health insurers have been increasing top-tier #premiums at far higher rates than those approved by government—30% on average over the last three years, versus the 8.6% regulatory cap—yet, #Private

Health insurers accused of charging more for top-level hospital cover than price cap set by federal government
A report from consumer group Choice claims health insurers have been increasing premiums for top-tier hospital cover by more than three times the amount set by the federal government in the past three years without breaking the law.

This https://arxiv.org/abs/2401.07348 has been replaced.
link: https://scholar.google.com/scholar?q=a

Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper delves into the legal and regulatory implications of Generative AI and LLMs in the European Union…

This https://arxiv.org/abs/2401.07348 has been replaced.
link: https://scholar.google.com/scholar?q=a

Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper delves into the legal and regulatory implications of Generative AI and LLMs in the European Union…

This https://arxiv.org/abs/2401.07348 has been replaced.
link: https://scholar.google.com/scholar?q=a

Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper delves into the legal and regulatory implications of Generative AI and LLMs in the European Union…