Over the last century, automation has advanced in many industries. More recently people must work with non-human entities, which increasingly use artificial intelligence (AI) technologies.
In manufacturing plants, programmed robotic arms and humans work in close proximity side by side. Transport uses more and more automated systems. Self-driving vehicles deploy advanced driver assistance systems, while modern airline autopilot and safety systems use manoeuvring augmentation characteristics systems. Both rely on sensor data processing algorithms to analyze data gathered from many sensors around the vehicles and airplanes in order to ensure safe, efficient journeys. In healthcare, diverse professionals are using analysis from big data mined by machine learning algorithms, to help diagnosis diseases.
“A key barrier to adoption of artificial intelligence is concerns about the trustworthiness of the system. Led by SC 42/WG 3, the projects that the committee is pursuing in this area, not only try identify and put a framework around these emerging issues but also provide technical approaches to mitigating the concerns and link to the non-technical requirements such as ethical and societal challenges. This revolutionary approach that SC 42 is taking by looking at the full AI ecosystem will enable wide scale adoption of AI and the promise it has as a ubiquitous technology enabling the digital transformation”, said Wael Diab, who leads the standardization work on AI, through Subcommittee 42 of the IEC and ISO joint technical committee (ISO/IEC JTC 1) for information technology.