U.S. AI Workforce: Policy Recommendations

Gehlhaus, Diana; Koslosky, Luke; Goode, Kayla; Perkins, Claire

doi:10.51593/20200087

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…There are numerous policy instruments that fall in this bucket, including but not limited to education policy, scholarships, training programs, civil rights laws, labor laws, and minimum wage laws. 46 Unlike many other levers of power, workforce development efforts-particularly those related to education-are often left to the jurisdiction of state and local governments rather than the federal policymakers. This decentralization creates an environment in which experimentation is relatively easy but scaling success is often difficult.…”

Section: Workforce Developmentmentioning

confidence: 99%

The Policy Playbook

Corrigan¹,

Flagg²,

Murdick³

2023

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This brief provides a framework for a systems-oriented approach to technology and national security strategy. It identifies and discusses the tensions among three strategic goals of technology and national security policy — driving technological innovation, impeding adversaries’ progress, and promoting safe, values-driven technology deployment — and highlights various levers of power that policymakers can use to pursue those goals. This adaptable framework, suitable for any country or international body, emphasizes the importance of creative problem-solving and maintaining a comprehensive understanding of the policy landscape.

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Section: Workforce Developmentmentioning

confidence: 99%

The Policy Playbook

Corrigan¹,

Flagg²,

Murdick³

2023

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“…Various related policies are emerging, and short-term, medium-term, and long-term policy frameworks are formed to create an AI education ecosystem, and various education and training are presented step by step. However, there are also criticisms, and most of the discussions and analysis of the current situation have limitations in that they focus on supplying PhD-level personnel with the highest level of technology [21]. Beyond simple AI education, the European Union (EU) has begun to innovate overall higher education and operate major initiatives to foster technical talent.…”

Section: Leading Ai Education Policiesmentioning

confidence: 99%

Keyword Analysis of Artificial Intelligence Education Policy in South Korea

Lee,

Jeong

2023

IEEE Access

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The purpose of this study is to analyze the direction of the Artificial Intelligence(AI) education policy announced by the South Korean government and how key tasks are reflected in detailed policies to find the implications. The study first identified three major policy directions as found in the South Korean government's publication on 'Education policy directions and core tasks in the era of AI and conducted a text mining analysis on government policy materials, press releases, and reports related to AI education from 2020 to 2022 by extracting keywords. According to our topic analysis results, various AI education contents were being developed before and after the national curriculum revision. Moreover, our research indicated that the advancement and activation of AI education policies will take place to smoothly implement the curriculum in the classrooms and that additional policies and challenges will emerge when the new curriculum comes into effect in 2025.INDEX TERMS AI education, education policy, keyword analysis, text mining, word cloud

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“…It should be acknowledged that Singapore and the United States are vastly different in size, scope, and degree of centralized control--however, the United States can still learn from Singapore's example. Presently the United States lacks a clear-cut AI education and workforce policy at the federal level, which hinders the centralization and implementation of programs aimed at bolstering and upskilling U.S. AI and cyber talent 141. The United States can look at the efficacy of Singapore's efforts when considering future policy and national talent programs.…”

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confidence: 99%

Examining Singapore’s AI Progress

Goode¹,

Kim²,

Deng³

2023

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Despite being a small city-state, Singapore’s star continues to rise as an artificial intelligence hub presenting significant opportunities for international collaboration. Initiatives such as fast-tracking patent approval, incentivizing private investment, and addressing talent shortfalls are making the country a rapidly growing global AI hub. Such initiatives offer potential models for those seeking to leverage the technology and opportunities for collaboration in AI education and talent exchanges, research and development, and governance. The United States and Singapore share similar goals regarding the development and use of trusted and responsible AI and should continue to foster greater collaboration among public and private sector entities.

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U.S. AI Workforce: Policy Recommendations

Cited by 3 publications

References 1 publication

The Policy Playbook

The Policy Playbook

Keyword Analysis of Artificial Intelligence Education Policy in South Korea

Examining Singapore’s AI Progress

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