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The NIST Cyber-Physical Systems

The NIST Cyber-Physical Systems (IoT) Framework is Applied to AI Communications for Business by the National Research Leader

Credit: CTL

The significance of the NIST Cyber-Physical Systems ( IoT ) Framework for Artificial Intelligence ( AI ) in communications is discussed by Dr. Edward Griffor, a researcher for NIS, and academic collaborators in the recently released Research Handbook on AI and Communications.

In the burgeoning field of research on communication of, by, and with AI, the NIST contribution is described. The intricate connections between AI and communication are thoroughly examined in the book chapter. The dimension of AI communications risk in relation to business intelligence is examined in this contribution using the CPS Framework Aspects and Concerns.

In many different domains, AI has had a significant impact. Based on AI-enabled components, whose use is frequently essential to the overall success of business processes, business solutions that previously seemed impossible are now possible. Utilizing AI is not easy, though.

Communication is a significant barrier for stakeholders with various backgrounds and objectives, according to Griffith, given the complexity of AI components and their behavior.

Each stakeholder’s vocabulary may vary depending on their area of expertise, and each group may have its own objectives that may conflict with those of other groups.

Stakeholders may also have their own set of concerns and requirements. Public relations specialists, for instance, might want to encourage transparency in decisions regarding AI-enabled systems and business procedures.

Cybersecurity experts might counter that too much transparency jeopardizes security, though. Then, using the NIST CPS Framework’s components and concerns as the overarching structure of requirements, Griffor and his co-authors describe how to manage the multi-layered business processes involving AI-enabled systems.

Griffor notes that” the underlying approach can be used to overcome the challenges that emerge from the use of AI components in AI-enabled systems and business processes, especially” “black-box”AI components,” despite the fact that the NIST CPS framework was specifically created to guide the design and development of IoT systems.

In order to reduce bias and guarantee the fairness of the credit card application assessment process, the book chapter uses the example of a fintech company that wants to create requirements for business processes related to processing credit cards that useAI.

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