Open AccessSocial impact assessment process for industry 4.0 to achieve sustainable artificial intelligence systems
Author(s) -
Vijayan Gurumurthy Iyer
Publication year - 2020
Publication title -
global journal of computer sciences
Language(s) - English
Resource type - Journals
ISSN - 2301-2587
DOI - 10.18844/gjcs.v10i2.5393
Subject(s) - sustainability , process (computing) , legislature , strategic environmental assessment , government (linguistics) , environmental impact assessment , identification (biology) , business , process management , environmental resource management , computer science , management science , environmental planning , engineering , political science , economics , ecology , linguistics , philosophy , environmental science , operating system , law , biology
The strategic environmental assessment (SEA) process can be broadly defined as a study of the social impacts of a proposed project, plan, policy or legislative action of intelligence systems on the society, environment and sustainability. The SEA process for sustainable intelligent systems has been aimed to incorporate society, environment and sustainability factors into the project planning and decision-making process for sustainable intelligent systems. Artificial intelligence systems (AIS) should consider the titled ‘environmental impact assessment (EIA)’ process that can be defined as the systematic identification and evaluation of the potential impacts (effects) of proposed projects, plans, programmes, policies or legislative actions relative to the biological physical, physico-chemical, biological, cultural, socio-economic and anthropological components of the total environment. The SEA process protocol is important as it has been proposed for studying and checking the productivity and quality of AIS. This treaty and official government procedures of SEA were helpful in the decision-making process much earlier than the EIA process. Keywords: Artificial intelligence, business, economics, environment, industry.