AI in building Software systems: Are we prepared yet?
How SW engineers incorporate terms such as responsibility, ethics, and bias and mitigate potential dangers when using AI techniques?
Contemporary software systems, such as cyber-physical, smart environments, and those in the Internet of Things paradigm, represent software engineering challenges. Their pervasiveness and intensive digital transformation imply the need for high-quality software regarding the number of new quality features they present. The lack of software technologies produces opportunities for the field's evolution. For instance, the use of Artificial Intelligence (AI) techniques to develop and assure the quality of such software systems could improve the software processes.
However, what should be our primary quality concerns or desirable features to tackle with AI techniques? How can software engineers incorporate terms such as responsibility, ethics, and bias and mitigate potential dangers when using AI techniques?
To answer these questions is challenging without discussions and sharing of experience! It justifies this panel:
Are we prepared to use AI to support Contemporary Software Systems Quality? One of the Challenges on Quality Day activities of QUATIC 2023! #quatic2023
How SW engineers incorporate terms such as responsibility, ethics, and bias and mitigate potential dangers when using AI techniques?
Contemporary software systems, such as cyber-physical, smart environments, and those in the Internet of Things paradigm, represent software engineering challenges. Their pervasiveness and intensive digital transformation imply the need for high-quality software regarding the number of new quality features they present. The lack of software technologies produces opportunities for the field's evolution. For instance, the use of Artificial Intelligence (AI) techniques to develop and assure the quality of such software systems could improve the software processes.
However, what should be our primary quality concerns or desirable features to tackle with AI techniques? How can software engineers incorporate terms such as responsibility, ethics, and bias and mitigate potential dangers when using AI techniques?
To answer these questions is challenging without discussions and sharing of experience! It justifies this panel:
Are we prepared to use AI to support Contemporary Software Systems Quality? One of the Challenges on Quality Day activities of QUATIC 2023! #quatic2023