Artificial intelligence (AI) is an enabling horizontal technology. Many industry experts and analysts believe that the rapid growth in AI will enable the next digital transformation. While the field of AI is not new, an international standards committee looking at the entire AI ecosystem is a recent development.
To better understand why standards are important for AI, it is helpful to identify the diverse stakeholders involved, which include research, academia, industry, practitioners, policy makers, ethics advocates and more.
Moreover, there are many different application areas of AI technology, for example, consumer, industrial and commercial amongst others. Regarding the industrial sector, IT is becoming more pervasive in the various industry verticals, including manufacturing, healthcare, robotics, and financial.
Standards are required to enable mass deployment and adoption of AI in these fields. As a basis, it will be important to have common terminology for use by all stakeholders, which will enable clear communication and sound decision making. Gathering use cases, their requirements and best practices for application of the technology will guide technology development. Like other transformational IT technologies, AI will be widespread and addressing issues of trustworthiness from the get-go is needed. Finally, looking at the core of AI, standardization of algorithms and computational techniques will allow a higher level of adoption, use and interoperability