Trust is at the heart of everything.
Over the last century, automation has advanced in many industries. Nowadays, many people must work with non-human entities, which increasingly use artificial intelligence (AI) technologies.
For example, programmed robotic arms and humans work side by side in manufacturing. Increasingly, transport uses more automated systems. Self-driving vehicles deploy advanced driver assistance systems and modern airline autopilot and safety systems use manoeuvring augmentation characteristics systems. Sensor data processing algorithms analyze data gathered from many sensors around the vehicles and airplanes, to ensure safe, efficient journeys. Big data mined by machine learning algorithms help healthcare professionals analyze and diagnose diseases.
AI systems are expected to bring many benefits, however considerations in the area of trust, ethics and societal concerns stemming from the application domain, business requirements, regulatory policy, consumers, end users and society-at-large must first be addressed, so that these systems are reliable, fair and transparent, in other words, trustworthy.