In the modern digital era, the rapid growth of AI influence has affected many aspects of human activity. However, as AI's significance increases, serious challenges of trust and transparency arise.
AI Usage Growth and Trust Challenges
According to data, 65% of organizations are actively using AI, a notable increase from last year. However, surveys show that over two-thirds of US adults have little trust in the information provided by AI. This is due to the dominance of companies like Amazon, Google, and Meta, which control significant volumes of data while remaining opaque in their operations.
Role of Zero-Knowledge Technology
Zero-knowledge technologies (ZK) open up new possibilities for enhancing AI transparency without disclosing confidential information. Breakthroughs in zkML enable AI results verification while maintaining data protection and intellectual property.
Need for AI and Transparency
The use of zkML in AI systems opens three key pathways to restoring trust. These technologies reduce the risk of errors in AI-generated content, enable model auditing for fairness and compliance without accessing the models themselves, and facilitate secure collaboration between organizations.
Combining AI innovations and technologies will ensure a balance between trusted transparency and privacy protection. Thus, AI has the potential for significant transformations in the near future.
