Secure Multi-Party Computation Enables Collaborative Hiring Insights

Secure Multi-Party Computation (SMPC) protocols allow multiple stakeholders (e.g., different recruiters or companies) to jointly analyze candidate data without revealing the data itself to one another. This promotes collaboration on building more inclusive hiring models while preserving privacy and respecting candidate confidentiality across organizational boundaries.

Secure Multi-Party Computation (SMPC) protocols allow multiple stakeholders (e.g., different recruiters or companies) to jointly analyze candidate data without revealing the data itself to one another. This promotes collaboration on building more inclusive hiring models while preserving privacy and respecting candidate confidentiality across organizational boundaries.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

How Can Employers Protect Candidate Privacy When Using AI for Screening?

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.

More articles on How Can Employers Protect Candidate Privacy When Using AI for Screening?

See all

More articles from related categories

In What Ways Can Employers Create Accessible Virtual Interview Experiences for All Candidates?
How Can Employers Avoid Discrimination in Remote Hiring?
In What Ways Can Feedback from Candidates and Interviewers Enhance Inclusivity Tracking?
How Do You Track and Report on Interview Inclusivity?
How Can Employers Effectively Identify and Mitigate Unconscious Bias in Tech Interviews?
How Employers Can Build Inclusive Interview Processes
How Do You Effectively Track Interview Inclusivity Without Compromising Candidate Privacy?
How Do You Track and Report on Interview Inclusivity?