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Private Data Use Consent as a Generative AI Compliance Requirement

Private Data Use Consent as a Generative AI Compliance Requirement

In a previous note, here, I wrote that one of the requirements for Generative AI products/services in China is that if it uses data that contains personal information, the consent of the holder of the personal information needs to be obtained. It seems self-evident that this needs to be a requirement. It is also not…

Valuation of an AI Training Dataset

Valuation of an AI Training Dataset

If there is a market for AI training datasets, then the price will be determined by supply and demand. How does the supplier set the price, and how does the buyer evaluate if the price is right? The question behind both of these is this: how to estimate the value of a training dataset? We…

Why Specialized AI Should Be Certified by Expert Communities

Why Specialized AI Should Be Certified by Expert Communities

Should the explanations that an Artificial Intelligence system provides for its recommendations, or decisions, meet a higher standard than explanations for the same, that a human expert would be able to provide? I wrote separately, here, about conditions that good explanations need to satisfy. These conditions are very hard to satisfy, and in particular the…

What Is Evidence?

What Is Evidence?

There is no single definition of the term “evidence”, and trying to make one isn’t the purpose of this text. But there are ways of telling if something might be evidence, and knowing when it clearly isn’t. Such knowledge helps you develop a taste, so to speak, in evidence. Isn’t that valuable, given how frequently you may be giving evidence to support your ideas, and how frequently others do the same to you?

A More Expressive Softgoal Conceptualization for Quality Requirements Analysis

Initial software quality requirements tend to be imprecise, subjective, idealistic, and context-specific. An extended characterization of the common Softgoal concept is proposed for representing and reasoning about such requirements during the early stages of the requirements engineering process. The types of information often implicitly contained in a Softgoal instance are highlighted to allow richer requirements…

Data Authenticity, Accuracy, Objectivity, and Diversity Requirements in Generative AI

Data Authenticity, Accuracy, Objectivity, and Diversity Requirements in Generative AI

In April 2023, the Cyberspace Administration of China released a draft Regulation for Generative Artificial Intelligence Services. The note below continues the previous one related to the same regulation, here.  One of the requirements on Generative AI is that the authenticity, accuracy, objectivity, and diversity of the data can be guaranteed.  My intent below is…