How can we teach a robot to understand the nuances of privacy in elderly care? It starts with teaching it to recognize sensitive data.
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How can we teach a robot to understand the nuances of privacy in elderly care? It starts with teaching it to recognize sensitive data.
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A new conceptual paper introduces "Privacy Agents" an AI designed to safeguard contextual integrity in care settings. To demonstrate that their innovative concept is feasible, the researchers from TU Wien needed to prove an AI could identify PII in a real-world transcript.
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A new conceptual paper introduces "Privacy Agents" an AI designed to safeguard contextual integrity in care settings. To demonstrate that their innovative concept is feasible, the researchers from TU Wien needed to prove an AI could identify PII in a real-world transcript.
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We're proud that the tool they used for this proof-of-concept was fine-tuned on the Ai4Privacy/pii-masking-200k dataset.
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We're proud that the tool they used for this proof-of-concept was fine-tuned on the Ai4Privacy/pii-masking-200k dataset.
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This is a perfect win-win: brilliant researchers are designing the future of privacy-aware robotics, and our open-source data helps provide the foundational tools to show it's possible. This is how conceptual breakthroughs become practical solutions.
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This is a perfect win-win: brilliant researchers are designing the future of privacy-aware robotics, and our open-source data helps provide the foundational tools to show it's possible. This is how conceptual breakthroughs become practical solutions.
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🔗 Check out their forward-thinking paper on the future of privacy in Human-Robot Interaction: 
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🔗 Check out their forward-thinking paper on the future of privacy in Human-Robot Interaction: 
http://hirschmanner.com/publication/privacy-hri-2024/privacy-hri-2024.pdf
http://hirschmanner.com/publication/privacy-hri-2024/privacy-hri-2024.pdf
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🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: 
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🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: 
https://www.linkedin.com/company/ai4privacy/posts/
https://www.linkedin.com/company/ai4privacy/posts/
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How can we teach a robot to understand the nuances of privacy in elderly care? It starts with teaching it to recognize sensitive data.

A new conceptual paper introduces "Privacy Agents" an AI designed to safeguard contextual integrity in care settings. To demonstrate that their innovative concept is feasible, the researchers from TU Wien needed to prove an AI could identify PII in a real-world transcript.

We're proud that the tool they used for this proof-of-concept was fine-tuned on the Ai4Privacy/pii-masking-200k dataset.

This is a perfect win-win: brilliant researchers are designing the future of privacy-aware robotics, and our open-source data helps provide the foundational tools to show it's possible. This is how conceptual breakthroughs become practical solutions.

🔗 Check out their forward-thinking paper on the future of privacy in Human-Robot Interaction: http://hirschmanner.com/publication/privacy-hri-2024/privacy-hri-2024.pdf

🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/
👀
John6666