Chapter 1. Why Build a Blockchain Truth Machine for AI?
Today’s intelligent agents—software programs driven by AI that perform some domain-specific function—are used in law enforcement and the judicial system and are gaining significant authority in deciding the fate of humans. It is becoming increasingly difficult for people to detect AI when it is acting as a human agent. A product of AI—the intelligent agent—can be embedded in interactions that people don’t associate with AI, such as calling 911 or an insurance claims adjuster. It has been said that once AI becomes mainstream, we will no longer hear the term mentioned, but even now, a person may not realize they have encountered an intelligent agent, much less how to hold it accountable for its actions.
This chapter dissects AI’s trust deficit by exploring critical facts to track in order to improve trust, and suggests ways that you can think of your AI projects as having an interwoven blockchain truth machine—a tamper-evident ledger—built into every aspect of the AI. It goes on to explore concerns about machine learning (ML), potential attacks and vulnerabilities, and touches briefly on risk and liability. Blockchain is explained and blockchain/AI touchpoints are identified based on critical facts.
Dissecting AI’s Trust Deficit
The collection of critical facts about any AI system resembles an online cake recipe: it lists ingredients, instructions on exactly how to mix and bake it, and helpful information like who wrote the ...
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