Web 3.0 Requires Data Integrity for AI Systems

The article discusses the importance of data integrity in the context of Web 3.0, a decentralized and intelligent version of the Web. Data integrity, which includes accuracy, completeness, and quality, is crucial for artificial intelligence (AI) systems and intelligent agents. Web 1.0 prioritized availability, while Web 2.0 emphasized confidentiality. Web 3.0, with protocols like Tim Berners-Lee's Solid, requires verifiable integrity of personal data and computations. AI systems need robust integrity controls to ensure data accuracy and preserve its meaning. Recent examples show that integrity failures can lead to biased results and fatal decisions. W3C protocols, such as decentralized identifiers and WebAuthn, provide standardized means to verify data provenance and maintain data integrity. Integrity is essential for trust in AI systems, and common standards and protocols are necessary to ensure consistent integrity controls.