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How to Incorporate Privacy by Design Into Your Business

Olartemoure Blog

Privacy by Design is the integration of data processing procedures to every stage of business practices. In this article we will explore the different guidelines that govern the world of Privacy by Design: The European guidelines that hold the standard, and how Privacy by Design works in Colombia.

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Book review: Guidebook to Intellectual Property + discount code

The IPKat

This is a review of Guidebook to Intellectual Property (seventh edition) authored by Sir Robin Jacob (8 New Square and UCL, Matthew Fisher (UCL) and Lynne Chave (UCL). Kat approved This book is aimed at those who are new to the subject of intellectual property.

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Infographic | Privacy enhancing technologies

Olartemoure Blog

Privacy-enhancing technologies are tools and techniques designed to protect users’ personal data and privacy by enabling the analysis and sharing of insights within data, without sharing the data itself. What are PETs? They minimize the use of data as they maximize its control. Why are they useful? They can take many forms.

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Intellectual Property Rights For Fintech

IIPRD

Since FinTech is a dynamic concept and originated from the intellectual labour of its creator, the chief question running in the minds of stakeholders is “How to protect their work from copying”? To solve this problem, various countries have inducted its shielding in their national Intellectual Property Rights [“IPR”] policies.

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Texas LLC Formation: 4 Privacy Considerations for Entrepreneurs

LexBlog IP

However, at a time when personal privacy is cherished more than ever, privacy is a crucial consideration when starting a business entity. While establishing a business requires some public disclosure, several strategies can be used to preserve privacy and maintain anonymity. 1] [link]

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Generative AI Tools Can Present IP Risks, But They’re Manageable

IP Intelligence

The rules for using AI technology under an enterprise license are likely more permissive than those for consumer-facing AI tools, as the former will likely have broader confidentiality and indemnity protections than the latter. Broadly speaking, AI tools can present both incoming and outgoing intellectual property issues.

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NIST Releases their AI Risk Management Framework 1.0

IPilogue

alongside a Playbook suggesting ways to use the AI RMF to “incorporate trustworthiness considerations in the design, development, deployment, and use of AI systems”. Explainable and interpretable : representing the underlying AI systems’ operation and the meaning of its output in the context of its designed functional purposes.

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