The Black Box Problem: Why AI Needs Proof, Not Promises
Ismael Hishon-Rezaizadeh is the founder and CEO of Lagrange Labs, focusing on zero-knowledge infrastructure for blockchain and AI. AI is increasingly integrated into critical sectors, performing tasks like diagnosing illnesses and approving loans, raising concerns about transparency and accountability. Many AI systems operate as black boxes, making it difficult to audit decisions, especially in high-stakes areas like healthcare and finance. The development of Artificial Superintelligence (ASI) is seen as inevitable, prompting fears of unpredictable outcomes and potential threats to humanity. Verifiability is essential for ensuring AI aligns with human values. Zero-knowledge proofs (ZKPs) can provide traceability and transparency in AI systems, allowing verification of computations without exposing sensitive data. Implementing zkML libraries can enhance trust in AI applications, ensuring they operate correctly and equitably. The integration of verifiability into AI design is crucial as systems become more capable and embedded in society.
