In recruitment and human resource management, AI has been widely used for screening resumes, assessing candidates, and even conducting performance evaluations.
However, for a long time, there has been a serious issue with AI recruitment systems: Is it fair to everyone?
DeepProve is establishing new standards for workplace AI applications.
It utilizes zero-knowledge proofs (ZKP) to generate a verifiable proof when the recruitment model outputs results, confirming that the screening process is free from bias based on gender, age, or background.
This mechanism meets the compliance requirements of businesses while helping employees and candidates gain more trust.
It relies on ZK co-processors and a decentralized proof network: executing AI screening tasks off-chain and completing proof verification on-chain. This makes the entire process both efficient and transparent.
The token $LA provides economic incentives to ensure that verification nodes remain active.
With DeepProve's involvement, “fairness in AI recruitment” is no longer just a slogan but a fact that can be mathematically proven.
