Remove Confidentiality Remove Invention Remove Privacy
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The Interaction of Intellectual Property with Data Privacy in the Realm of Artificial Intelligence

Intepat

While AI-generated prompts streamline our daily lives, they also pose significant privacy risks. Challenges emerge when AI systems not only retain data but also process and potentially share it with third parties without consent, placing data privacy at the forefront of AI governance. Rajagopal v. State of Tamil Nadu.

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Mishandled Disclosures: A Greek Tragedy in IP Law

Patently-O

Neuropublic provided the firm with a detailed, confidential 21-page “Proposed Invention Disclosure” describing this technology. Ladas & Parry then allegedly sent this entire confidential disclosure to a third-party firm in India called PatentManiac, without informing Neuropublic’s or obtaining consent.

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Kevin Kruse Cleared of Plagiarism Though Questions Remain

Plagiarism Today

At that time, Kruse was facing allegations that he had committed plagiarism, first in his 2000 dissertation at Cornell University and later in his 2015 book One Nation Under God: How Corporate America Invented Christian America. They have obligations to both student and employee privacy that has to be maintained.

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IQ Ideas+ 3.0: Taking the Guesswork Out of Your Innovation Workflow and Research Process

IP.com

Powered by IP.com’s proprietary Semantic Gist, CompassAI has a deep understanding of technical language, enabling it to identify inventive similarities or existing solutions at an individual level. Unlike other tools, Compass AI operates in a closed, secure environment that prioritizes data confidentiality.

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It’s No Longer a Secret: Generative AI Can Help Secure and Protect Intellectual Property Innovation Exploration

IP.com

Companies now use generative AI tools to streamline innovation, expedite the patenting process, and generate unique ideas while ensuring the confidentiality of valuable IP assets. This is where platforms like IQ Ideas+ excel, providing a secure, closed ecosystem where data remains confidential and entirely within the organization’s control.

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Algorithmic Transparency and the Smart State

SpicyIP

Change in titles su ggests a shift in focus – from protection of privacy to regulation of data as an asset. If the State cannot manage to negotiate an assignment (the technology only being licensed), it must ensure that its confidentiality obligations are narrowed down. This makes data processing opaque.

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Checklist of Issues on Generative IP

Kluwer Copyright Blog

It involves several IP rights, some of which overlap in some cases: copyright, trademarks, patents, trade secrets/confidential information, and the right of publicity (and similar rights with different names). Protection of fame monetization vs privacy b. Possible clash with transparency and “explainability” obligations (eg People v.

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