Artificial Intelligence (AI) – measured by Global Connectivity – is significantly positively correlated with freedom from corruption! Find the first ever created corruption freedom AI transition index in Graph 1, which outlines AI hubs that are perceived as corruption free in green and less connected areas of the world that are perceived as corrupt in red and medium AI-connectivity and corruption hubs in yellow.
Graph 1: Corruption Freedom AI Transition Index
The currently ongoing market transition of outsourced decision making to AI hence starts from relatively corruption free territories. AI therefore offers a relatively corruption free leadership decision making tool, which should be used to enhance global public health care.
Artificial global governance should therefore come from the countries with high global connectivity and low corruption that are exhibited in the lower right quadrant in Graph 2.
Graph 2: Global connectivity (GCI) and Corruption Perception Index (CPI)
An AI_anti-corruption_health index is calculated comprised of the global connectivity (GCI) of a country in 2019 multiplied by the Corruption Perception Index (CPI) in 2019 and the Health Quality and Access Index of the same country in 2016.
Graph 3 displays the country’s index around the world and highlights the parts of the world that feature high internet connectivity, freedom from corruption and good access to and quality of general healthcare in green, whereas those parts of the world that feature less internet connectivity and more perceived corruption and worse access to and quality of general healthcare in red. The higher the index, the better connected and less corrupt the country is perceived and offers better access to and quality of general healthcare, and the greener the country is colored. The lower the index, the less connected and the more corrupt the country is perceived and the worse off are its citizens regarding access to and quality of general healthcare, and the more red the country is colored. Medium AI-connectivity and corruption hubs with medium access to and quality of healthcare in yellow.
Graph 3: AI-anti-corruption-health (AAH) index for 79 countries of the world
Puaschunder, J.M. (forthcoming). Data fiduciary in order to alleviate principal-agent problems in the artificial big data age. In K. Balachandran (Ed.), Economic Information to Facilitate Decision Making, World Scientific.
Puaschunder, J.M. (forthcoming). The Future of Artificial Intelligence in International Healthcare: Integrating Technology, Productivity, Anti-Corruption and Healthcare Interaction Around the World with Three Indices. Journal of Applied Research in the Digital Economy.