E-Government is the use of communication and information technology to improve the performances of public sector agencies. The Boston Global Forum and Michael Dukakis Institute announced the concepts of AI-Government on June 25, 2018, as a part of AI World Society Initiative. AI-Government transcends E-Government by applying AI to assist in decision making for all critical public sector functions – most notably provision of public services, performance of civic functions, and evaluation of public officials. Using AI technologies in government is not a new idea, but it still carries considerable benefits in public service areas such as health, transportation, and finance. It does not replace governance by humans or human decisional processes, but instead guides and informs them, providing an objective basis for service provision and evaluation.
One of requirements for developing an efficient AI-Government is building the National Decision Making and Data Center (NDMD). NDMD collects, stores, analyzes, and applies massive amounts of data relevant to the provision of public services and the evaluation of public programs and officials. Also essential are other tasks, such as creating regulations for automated public services, providing mechanisms to evaluate the performance of leaders or officials, facilitating feedback for civil society, and setting rules for decision making in all areas of government.
In 2018, Boston Global Forum focused on AI with the introduction of our AI World Society (AIWS) 7-Layer Model for Next Generation Democracy at the Boston Global Forum-G7 Summit Conference April 25, 2018 at Harvard University Faculty Club. In 2019, our next step is to continue the mission of expanding our AIWS 7-Layer Model for collaboration on an international scale, and hold discussion about the concepts of AI-Government, together with world leaders, policy makers, and impactful individuals in the tech industry order to build efficient systems of AI-Government that are able to bring significant benefits to society while minimizing any risks they carry as much as possible.
