Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey
It addresses the need for standardized RAI practices across industries, but is incremental as it synthesizes existing information without proposing new solutions.
This survey paper examines the problem of decoupled ethical standards and implementation in Responsible AI (RAI), highlighting the lack of common frameworks and the influence of social pressure on design over practical application.
Responsible Artificial Intelligence (RAI) is a combination of ethics associated with the usage of artificial intelligence aligned with the common and standard frameworks. This survey paper extensively discusses the global and national standards, applications of RAI, current technology and ongoing projects using RAI, and possible challenges in implementing and designing RAI in the industries and projects based on AI. Currently, ethical standards and implementation of RAI are decoupled which caters each industry to follow their own standards to use AI ethically. Many global firms and government organizations are taking necessary initiatives to design a common and standard framework. Social pressure and unethical way of using AI forces the RAI design rather than implementation.