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Global CyberPolitics

AI Governance

Governance refers to the methods selected for the proper functioning of, or organized modes of, decision-making. It is about the structure of the overall framework, using decision and choice. The research initiatives focus on four very different approaches to governance structure and function pertaining to, or intersecting with, the cyber domain. (continued here)

AI Governance: AIWS 7-Layer Model 

This initiative is an early version of efforts to highlight critical features in the formation of AI-Government. Prepared for AIWS.net by:
Michael Dukakis, Nguyen Anh Tuan, Nazli Choucri, Thomas Patterson, David Silbersweig, John Savage.

Boston, April 5, 2018. The AIWS 7-layer model to build next generation. Selections of the Report are reproduced below. Download the complete model.

This model establishes a set of norms and best practices for the development, management, and uses of AI so that this technology is safe, humane, and beneficial to society. It seeks to provide a baseline for guiding AI development to ensure positive outcomes and to reduce pervasive and realistic risks and related harms that AI could pose to humanity.

The Model is anchored on the assumption that humans are ultimately accountable for the development and use of AI, and must therefore preserve that accountability. Hence, it stresses transparency of AI reasoning, applications, and decision making, which will lead to auditability and validation of the uses of AI systems.

1. Charter & Principles

To create a society of AI for a better world and to ensure peace, security, and prosperity AI “society” is defined as the society consisting of all objects that have the characteristics of Artificial Intelligence. Any object in this society is an AI Citizen. There must be rules that govern the behaviors of these AI Citizens, as there are rules that govern human members of society. 

2. Ethical Frameworks: Building the Next Generation Democracy

The behavior of AI Citizens must be ethical by normal human and social standards. It must conform to the ethics codes of UNESCO and the United Nations. The ethics layer will also draw on best practices and ethics codes of top businesses and organizations involved in AI research such as IBM, IEEE, the Berkman Center, and MIT Media Lab.

3. Standards for the Management of AI Resources & Development

The focus is primarily on AI development and resources, including data governance, accountability, development standards, and the responsibilities of practitioners involved directly or indirectly in creating AI.

4. Laws & Legislation for the Role of AI in Building the Next Generation Democracy

Advise political leaders in crafting the best possible rules, regulations, and legislation regarding AI technologies. This layer will follow and apply Layers 1, 2, and 3 to transform their guidelines into legal and legislative concepts.

5. International Policies, Conventions, and Norms

To be effective, the development of AI in the support of humanity depends on a global consensus. International conventions, regulations, and agreements for AI development in support of Next Generation of global accord.

6. Public Services & Policymaking: Engage and

While AI per se cannot perform the functions of leadership, it can assist leaders. Examples of current AI projects for policymaking include SAM (the world’s first AI politician, created and operating in New Zealand) and GROW360 in Japan.

7. Engage and Assist Business Applications:

AI is already being used by, or tested for, consumer use in a variety of sectors. This includes fully autonomous vehicles, smart home assistants (e.g., Alexa and Google Home), and others. 

The Concept of AI Government

This initiative is an early version of efforts to highlight critical features in the formation of AI-Government. Prepared for AIWS.net by:

AI cannot replace governance by humans or human decisional processes but guides and informs them, while providing an objective basis for service provision and evaluation. AI supported public services span major critical functions to support all functions in society and all necessary services.

  1. Create automated public services assisted by AI:
    These include:
    • Health care, public health, and social services: Build AI hospitals and other social services for remote, rural, and mountain area.
    • Education: AI schools for remote, rural, and mountain areas.
    • Tourism: AI public services for tourism.
    • Public transportation: AI public transportation information, and support system.
    • Law, legal services: Build AI law, legal services.
    • Labor: AI labor, job guidance system.
    • Agriculture, fishing, and natural resource management: AI agriculture, fishing, and natural resource guidance systems. 
    • Public Finance: AI revenue collection and monitoring system. 
    • Public Housing: AI public housing targeting, allocation, and monitoring system.
  2. Tasks required to establish AI-Government
    • Build National Decision Making and Data Center (NDMD)
    • Provide mechanisms to evaluate the performance of leaders or officials
    • Create regulations for automated public services
    • Facilitate feedback from civil society
    • Set regulation to collect data from levels of governments, Party Office, National Assembly
    • Set rules for decision making in all organs of government
    • Establish a taskforce for implementation and evaluation
    • Create methods to assist citizens through use of block chain ID for entities that would include corporations, institutions, social organizations

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