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

Work in progress running time 2020-25

Josef Mantl Moving Forward Digital Round Table

Session 1:

Moving Forward Digital Round Table

Introduction

Big data & how the Coronavirus is challenging Healthcare, Economy and Society

Session 2:

Moving Forward Digital Round Table

Big Data: Die heilende Kraft der Daten

Session 3:

Moving Forward Digital Round Table

Temperaturabhängige Ansteckungswahrscheinlichkeit & Macht der Daten

Session 4:

Moving Forward Digital Round Table

Die gesellschaftlichen Auswirkungen von Corona:

Daten und Fakten zur ‘Intergenerationellen Fairness’ und welche soziale und psychosoziale Trends zu beobachten sind

Session 5:

Moving Forward Trend Talk:

The Impact of COVID-19 on Business & Society

TUtheTOP alumni club

Digi-Disruption & New Age Renaissance

Wie Big Data und Künstliche Intelligenz im Kampf gegen die Pandemie helfen kann

The Project is hosted at

Yale University

in cooperation with the

Parsons School of Design

The New School

New York

Financial support is most gratefully acknowledged from The New School School of Public Engagement

Output:

Publications:

Puaschunder, J.M., Mantl, J. & Plank, B. (forthcoming). Medicine of the future: The power of Artificial Intelligence (AI) and big data in healthcare. Research Association for Interdisciplinary Studies Journal for Social Sciences.

Puaschunder, J.M., Feierabend, D. (forthcoming). Ancient legal codes as basis for Artificial Intelligence regulation in the 21st century. Research Association for Interdisciplinary Studies Journal for Social Sciences.

Puaschunder, J.M., Mantl, J. & Plank, B. (2020). Medicine of the future: The power of Artificial Intelligence (AI) and big data in healthcare. Research Association for Interdisciplinary Studies Conference Proceedings of the 17th Interdisciplinary RAIS conference at Johns Hopkins University School of Medicine, Baltimore, Maryland, United States, June 1-2. [Held online due to COVID-19]

Puaschunder, J.M., Feierabend, D. (2020). Ancient legal codes as basis for Artificial Intelligence regulation in the 21st century. Research Association for Interdisciplinary Studies Conference Proceedings of the 17th Interdisciplinary RAIS conference at Johns Hopkins University School of Medicine, Baltimore, Maryland, United States, June 1-2. [Held online due to COVID-19]

Puaschunder, J.M. (2020). Healthcare responses to COVID-19 around the world and digital advancements to prevent pandemics. Research Association for Interdisciplinary Studies Conference Proceedings of the 17th Interdisciplinary RAIS conference at Johns Hopkins University School of Medicine, Baltimore, Maryland, United States, June 1-2. [Held online due to COVID-19]

Puaschunder, J.M. (2020). On freedom in the artificial age. Research Association for Interdisciplinary Studies Conference Proceedings of the 16th Interdisciplinary RAIS conference at Johns Hopkins University School of Medicine, Baltimore, Maryland, United States, March 30-31, pp. 75-80. [Held online due to COVID-19]

Puaschunder, J.M. (2020). Revising growth theory in the Artificial Age: Putty and clay labor. Archives in Business Research, 8, 3, 65-107.

Puaschunder, J.M. (2020). Corporate and Financial Social Leadership in emerging markets and the developing world. In Anetta Kuna-Marszałek & Agnieszka Klysik-Uryszek (2020), CSR and Socially Responsible Investing Strategies in Transitioning and Emerging Economies, United States: IGI Publishing.

Puaschunder, J.M. (2019). Organizational Artificial Intelligence Behavior. Journal of Applied Research in the Digital Economy, 2.

Coverage: Medicine of the future: A healthy mix