OzziePaezResearch

The tragic crashes of two Boeing 737 Max 8, one in Indonesia on October 28, 2018 and the other in Ethiopia on March 10, 2019, are highlighting the risks and uncertainties introduced by software in automated systems. The investigations are proceeding despite Ethiopia’s decision not to cooperate with the United States National Transportation Safety Board (NTSB). Reports of US pilots encountering control problems with the Max 8’s Maneuvering Characteristics Augmentation System

The US National Transportation Safety Board (NTSB) has issued a preliminary report on the fatal March 28, 2018 ‘self-driving’ vehicle accident. The preliminary findings support our own assessment of the incident[1]. It included additional details on the vehicle and its autonomous driving technology: “Uber had equipped the test vehicle with a developmental self-driving system. The system consisted of forward- and side-facing cameras, radars, LIDAR, navigation sensors, and a

One of the barriers to understanding emerging technologies is language. Innovative technologies introduce new words that initially are poorly understood. These include technical terms, contractions and acronyms that quickly join the techno-lexicon. The results can be confusing, imprecise language that undermine learning and shared understanding. That’s the case with the expanding vocabulary of autonomous technologies like self-driving vehicles. This document is intended t

We are increasingly relying on technology to automate tasks and make decisions. Artificial Intelligence (AI), analytics and machine learning

Bad things can happen when decision-makers encounter conflicting information in demanding environments. It's worse when crucial informat