Can Zero-Knowledge Proofs Ensure Fairer AI Systems?

The promise of artificial intelligence (AI) for diverse applications like healthcare, finance, and recruitment is undeniable. Yet, the concern of inherent bias in AI systems remains a critical issue. This raises the question: How can we guarantee fairness in AI decisions while protecting model confidentiality? A promising answer lies in Zero-Knowledge Proofs (ZKPs). This article explores how ZKPs offer potential for ensuring unbiased AI models.