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Advancing privacy-first AI: Hello Radius collaborates with The Cyprus Institute

Discover how Hello Radius's anonymisation technology advances responsible AI development. Learn how it strengthens data privacy compliance, reduces risks, and enables ethical AI applications across industries.
By Dionysis Kastellanis, Founder & Technical Lead at Hello Radius
Updated: 12 November 2024
2 min read
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Why data privacy is a priority in AI development

Data is a critical asset that powers innovation and business intelligence. As more developers build AI products and organisations leverage these technologies to improve data processing efficiency, ensuring data privacy has never been more crucial. With the accelerated adoption of AI solutions across industries comes heightened responsibility - making responsible AI development a strategic necessity.

As privacy regulations like GDPR and CCPA continue to evolve, organisations face mounting pressure to protect sensitive information throughout their AI pipelines. Businesses must proactively mitigate risks and protect this sensitive data – this means prioritising solutions that anonymise input data to prevent exposure. It’s crucial for companies to not only trust their AI vendors but also to validate that these systems are designed with privacy-first AI principles in mind.

 

Building privacy-first AI

In collaboration with the Computation-based Science and Technology Research Center (CaSToRC) at The Cyprus Institute, we developed a solution with their expertise and technical consultation, to address a critical challenge in AI applications: anonymising sensitive data before it is processed by large language models (LLMs).

Using the latest data anonymisation techniques, the technology automatically detects and protects personally identifiable information (PII) while preserving context for later analysis. While initially built to enhance our AI pipelines at Hello Radius, this scalable technology represents a significant step forward in responsible AI development which can be adapted to various business needs across industries.

 

Key features of our data anonymisation technology

  • Advanced sensitive data detection: Automatically detects and redacts PII, including names, emails, phone numbers and other identifiers from unstructured text.
  • Seamless PDF processing: Processes PDF files to erase sensitive data before feeding it into LLMs or other AI algorithms.
  • Customisable anonymisation: Provides flexibility for businesses to implement custom anonymisation logic, such as anonymising unique identifiers, geographical locations, or numerical data.
  • Data privacy enhancement: Processes input text and files without storing any data, ensuring end-to-end privacy protection.

 

The business impact

In today's privacy-conscious market, businesses that prioritise data protection will gain a significant competitive advantage. Our anonymisation technology adds a critical layer of protection, scrubbing files of PII before they enter any AI pipeline to reduce data privacy risks.

For developers, our solution integrates seamlessly into existing workflows, anonymising data automatically before it reaches LLMs and preserving context without compromising privacy. This technology aligns with ethical considerations, ensuring AI models can leverage the full potential of the data without compromising privacy.

 

Hello Radius: Privacy-First AI in action

The stakes are particularly high in recruitment, where AI pipelines process vast amounts of personal data. Candidates are increasingly privacy-conscious, making data protection not just a compliance requirement but a competitive advantage in attracting top talent. At Hello Radius, we have integrated anonymisation technology into our AI pipelines to enhance data privacy and promote fairer hiring practices.

Key benefits for employers and candidates

  • Data privacy for candidates: Safeguards candidate CV data without affecting skill-matching accuracy or decision-making efficiency.
  • Reduced hiring bias: Removes sensitive information from CV’s during the candidate sourcing and screening (skill-matching) process, allowing HR teams to focus solely on skills and experience.
  • Hosted career page & ATS integration: Our anonymisation technology integrates with hosted career pages and our Applicant Tracking System (ATS), ensuring data privacy from the application stage.

These applications are a first step, and we see the potential for this technology to support our future product development and in use cases outside of Hello Radius.

 

Future applications: Expanding beyond recruitment

At Hello Radius, we believe that privacy is a competitive advantage. Our mission is to democratise AI recruitment solutions, making this technology accessible to businesses of all sizes. However, the adaptability of our anonymisation tool means it can be applied in any industry where sensitive data needs to be removed before analysis, such as in healthcare, finance, and legal services.

If you're interested in learning how our technology can be tailored to your specific needs, feel free to connect with me here.