Assuring Autonomy International ProgrammeRewards and reprimands: teaching a medical AI to be saferHow multidisciplinary collaboration is improving the safety of an AI-based clinical decision support systemAug 10, 20221Aug 10, 20221
Assuring Autonomy International ProgrammeHow to achieve safe, trusted, and resilient autonomous systems: answering the regulators' questionsHow the AAIP’s research is answering the questions about how to develop and regulate safe autonomous systemsJul 25, 2022Jul 25, 2022
Assuring Autonomy International ProgrammeInside the Pyramid: trends in regulating complex systemsSix trends that signpost the direction for regulating autonomous systemsJun 8, 2022Jun 8, 2022
Assuring Autonomy International ProgrammeUp and down the Pyramid of Predictabilityby Simon SmithMay 18, 2022May 18, 2022
Assuring Autonomy International ProgrammeAutomated driving and safety — a broader perspectiveby Professor Simon BurtonJul 15, 2021Jul 15, 2021
Assuring Autonomy International ProgrammeData suitabilityUsing data that reflects the intended functionalityFeb 23, 2021Feb 23, 2021
Assuring Autonomy International ProgrammeCommunications, confidence and trustMoving towards safe autonomous systemsFeb 4, 2021Feb 4, 2021
Assuring Autonomy International ProgrammeThe liability of robotic and autonomous systemsRecommendations for law, policy and ethics of AI for the United Arab Emirates (UAE)Jan 26, 2021Jan 26, 2021
Assuring Autonomy International ProgrammeOptimising the machine and the humanThe role of human factors in the safe design and use of AI in healthcareDec 9, 2020Dec 9, 2020
Assuring Autonomy International ProgrammeChronic unease: a growing reliance on data-centric systemsProducts, systems and organisations are increasingly dependent on data. In today’s Data-Centric Systems (DCS) data is no longer inert and…Dec 2, 2020Dec 2, 2020