It requires a deep understanding of the management, development and deployment of artificial intelligence. This information is important to:
Understand current trends and future directions of skills development and
Build skill intelligence by understanding content and/or improving content through policy management processes.
Both are helpful Make smarter, more informed decisions, manage artificial intelligence better. Although these methods do not directly solve AI collaboration problems [1], they can help manage the impact of the technology. [2]
October 7, 2022 Recent actions taken by the US government, including Export Controls[3] and the 2023 Executive Order on Safe, Trustworthy, and Trustworthy Artificial Intelligence[4], are geared toward understanding the importance of AI. intelligence and analysis. [5] While these decisions are informed by analysis, there are still significant differences in the depth, breadth, and rigor of analysis. [6] For example, the discussion on job training lacks depth [7], there is no accepted standard for evaluating computing training [8], there are limitations without the impact of chip specifications on AI development and deployment [9], and the concept of environmental modification Physical support device [10] has not yet been investigated. [11]
My main goal is to understand, use and manage computing (the computing power and processes required to create and use artificial intelligence systems). [12] In machine learning research, access to and abilities to use computing resources are almost synonymous with progress. [13] Computing is essential for the advancement of knowledge beyond the development of knowledge and processes [14] and also provides a unique management system. [15] Therefore, computing not only supports intellectual development but also provides a unique opportunity for management control.
It is clear that there is a need for expertise in this field. I work with government agencies and advise AI companies to clarify business suitability for this area of research and policy.
Technical AI Governance
The core of my work is the analysis and understanding of advanced AI processes, which I call AI governance. [16] This includes:
(i) understanding the technological development of artificial intelligence (for example, what methods are needed to train the elders?) and
(ii) improving our understanding of its methods, This is better It allows us to build AI solutions (e.g., at the cost of How to invest in business? [17]).
In addition, my work includes (iii) developing technical systems and models [18] that achieve AI management goals (e.g. good accounting of operating budgets). , additional hardware support for distribution management is requested).
These systems are generally not stand-alone solutions, but tools that increase the effectiveness of artificial intelligence management by providing assurance, designing trust or creating a new management. [19]
Artificial Intelligence Technology Governance Research Definition
“Artificial Intelligence Technology Governance Research is the analysis of artificial intelligence and the study of intelligence and technology development. Create effective and efficient AI management ideas, policies and strategies. “
Computational Governance
Computational governance is the part of AI governance that refers to the use of computing infrastructure The ability to manage AI as a tool for improvement This includes increasing the visibility of AI systems by presenting AI to policymakers We aim to allocate resources more efficiently and strengthen the implementation of laws and regulations. It is important to remember that computing control is not just about controlling and restricting access to computers; It involves using computing as a flexible and scalable tool to achieve various management goals. [20]
Computational governance definition
“Computational governance refers to the use of computer infrastructure as a tool to improve the ability to manage intelligence, such as the application of visual intelligence for policy. establishing situations, allocating AI resources, and strengthening the enforcement of laws and regulations. This requires collaborating with others, and I contribute understanding and tools (beyond calculations) to support overall management. Although the current computation is important [21], I am still willing to expand my scope using suggestions or tools that prove to be best. [22]
Top 10 Technical AI Governance
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