From the course: Building Trustworthy AI Systems: Transparency, Explainability, and Control with ISO/IEC TR 24028

Unlock this course with a free trial

Join today to access over 24,800 courses taught by industry experts.

Software and data quality standards (Clause 5.2)

Software and data quality standards (Clause 5.2)

From the course: Building Trustworthy AI Systems: Transparency, Explainability, and Control with ISO/IEC TR 24028

Start my 1-month free trial Buy for my team

Software and data quality standards (Clause 5.2)

“

- [Instructor] For the foreseeable future, traditional software will not disappear with the appearance and use of AI. In fact, AI is integrating with, and enhancing the functions of traditional software. In this video, I will review the importance and provide an example of a software quality assurance model. It is essential to ensure that the AI function is reviewed for its cyber and social trust behavior. From a social trust perspective, it can be viewed based on three notions, ability, integrity, and benevolence. Ability denotes what the AI system can accomplish. For instance, can it catalog an environment via a camera appropriately and detect a mass of cancerous cells amidst dense tissue? Can the camera in a vehicle tell the difference between a stop sign and a tree? Or a tree and a human? Integrity includes not only technical expectations that the AI systems outputs will be predictable based on inputs, but also moral and ethical concerns about inappropriate manipulation of the…

Contents