| Autor: |
John Ronczka, Leah McKenzie |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE). |
| DOI: |
10.1109/apwconcse.2018.00034 |
| Popis: |
A quiet revolution has been occurring in synthetic intelligence for a number of years called ‘Artificial Intelligence' (AI) in academia and industry as part of automation. The tempo of evolution—revolution has accelerated due to economic pressures; stagnation of productivity and efficiency gains in private and public sectors. As a response there has been engagement and increased situation awareness of disruptive start-up concepts and likely impacts on human ‘Ecosystem Quality’ (EQ). This does not mean that disrupters will negate the adverse human community effects or self-regulate and wait for the private and public sectors to catch-up as the pace of transformational events accelerate. A supplementary ‘Key Performance Indicator’ (KPI) might assist policy makers and business development managers to achieve timely situation awareness. This KPI is suggested to be ‘Ecosystem Quality’ (EQ) that is a composite of ‘Quality of service’ (QoS); ‘Quality of experience’ (QoE) and ‘Quality of life’ (QoL). Utilising a suitable KPI might assist with a prioritisation of strategies; actions and budgets if a Hazard index is included. This paper provides a plausible industry engagement process to optimize the ongoing benefits and at the same time minimise the dis-benefits. The focus is on maintaining a whole of technology—human ecosystem situation awareness by measuring the whole of the ecosystem via a suitable KPI such as EQ. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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