Main topics:
There are, roughly speaking, three problems to solve for an Artificial Intelligence system to comply with AI regulations in China (see the note here) and likely future regulation in the USA (see the notes on the Algorithmic Accountability Act, starting here): Using available, large-scale crawled web/Internet data is a low-cost (it’s all relative) approach to…
If an artificial intelligence system is trained on large-scale crawled web/Internet data, can it comply with the Algorithmic Accountability Act? For the sake of discussion, I assume below that (1) the Act is passed, which it is not at the time of writing, and (2) the Act applies to the system (for more on applicability,…
The Algorithmic Accountability Act of 2022, here, is a very interesting text if you need to design or govern a process for the design of software that involves some form of AI. The Act has no concept of AI, but of Automated Decision System, defined as follows. Section 2 (2): “The term “automated decision system”…
Does the EU AI Act apply to most, if not all software? It is probably not what was intended, but it may well be the case. The EU AI Act, here, applies to “artificial intelligence systems” (AI system), and defines AI systems as follows: ‘artificial intelligence system’ (AI system) means software that is developed with…
IP compliance requirements on generative AI reduce the readily and cheaply available amount of training data, with a few consequences on how product development and product operations are done.
The problem of regulatory compliance for a software system consists of ensuring through a systematic, tool-supported process that the system complies with all elements of a relevant law. To deal with the problem, we build a model of the law and contrast it with a model of the requirements of the system. In earlier work,…
As software engineers create and evolve information systems to support business practices, these engineers need to address constraints imposed by laws, regulations and policies that govern those business practices. Requirements modeling can be used to extract important legal constraints from laws, and decide how, and evaluate if an information system design complies to applicable laws….
Compliance to relevant laws is increasingly recognized as a critical, but also expensive, quality for software requirements. Laws contain elements such as conditions and derogations that generate a space of possible compliance alternatives. During requirements engineering, an analyst has to select one of these compliance alternatives and ensure that the requirements specification she is putting…
This paper introduces a mixed modeling and argumentation framework applied to assess the compliance of requirements with legal norms, and reports the results of its application in an industrial project in healthcare. Domain experts applied a goal-oriented modeling framework for the representation of requirements and norms, then used argumentation techniques to assess the compliance of…
Regulatory compliance is increasingly being addressed in the practice of requirements engineering as a main stream concern. This paper points out a gap in the theoretical foundations of regulatory compliance, and presents a theory that states (i) what it means for requirements to be compliant, (ii) the compliance problem, i.e., the problem that the engineer…