Counterpoint: Regulators should allow the greatest space for AI innovation

O'Sullivan, Andrea; Thierer, Adam D.

doi:10.1145/3241035

Cited by 4 publications

(5 citation statements)

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“…Similarly, there are some scholars who dispute the strictness of the policy regulation process, such as O'Sullivan, who argues that policy regulation should leave maximum space for AI technology development, otherwise it will stifle the innovation of AI technology [13].…”

Section: Hot Topicsmentioning

confidence: 99%

Policy Regulation of Artificial Intelligence: A Review of the Literature

Du¹

2023

Frontiers in Artificial Intelligence and Applications

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With the all-round penetration of new AI technologies into human society, the necessity of policy regulation is becoming more and more prominent. A review of the research results on policy regulation of AI in the West from 1992 to 2020 reveals that: the research on AI policy regulation is still in its initial stage, and researchers mostly use law, political science and management science as their research perspectives to enter the topic, and the research fields are becoming more and more diversified, but not closely connected; The research topics are still at the level of philosophical value and contingency, specifically, the value judgment of policy regulation, procedural mechanism, and ethical issues of medical application, and there are controversies among different scholars, but a basic consensus has been reached on the ethical concerns and regulatory necessity of AI. The future research trends of policy regulation of AI mainly include three aspects: multi-discipline, implementation and diffusion of policy regulation, and ethical reflection.

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Section: Hot Topicsmentioning

confidence: 99%

Policy Regulation of Artificial Intelligence: A Review of the Literature

Du¹

2023

Frontiers in Artificial Intelligence and Applications

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“…Such efforts to legislate with foresight in the digital domain have been largely marked by failure [34]. Within this context, a regulatory framework for Artificial Intelligence (AI) is advocated to provide considerable latitude for technological progression [35]. Furthermore, there is a contention that the complexities introduced by AI have not been subjected to sufficient scrutiny, which suggests that the inception of a comprehensive regulatory system for AI may be premature [36].…”

Section: Literature Reviewmentioning

confidence: 99%

The Criteria of Chinese Regulatory Framework on Artificial Intelligence: Reflections Based on Cost-Benefit Analysis

Zheng

2023

Preprint

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This article summarizes Chinese framework for regulating artificial intelligence and integrates evolutionary game theory with cost-benefit analysis to establish a model and simulation. This framework is employed to analyze the behavioral trends among three distinct entities: governmental bodies, third-party independent institutions, and AI companies within the context of regulatory relationship. The findings indicate that: (1) The cost-benefit dynamics within the regulatory legal nexus significantly influence the behaviors of these entities; (2) Under the condition of normalized government regulation approaching full enforcement, the behavioral choices of third-party independent institutions and AI companies exhibit cyclical fluctuations.The paper draws two principal conclusions: (1) The regulatory framework need to be tailored to the specific risks presented by AI and the relative costs and benefits of legal enforcement in different jurisdictions. (2) From a cost-benefit standpoint, government intervention in AI regulation ought to be circumscribed, with government regulation focusing on critical legal risks. Other aspects of regulatory control should be delegated to cooperative legal framework that allows the participation of the independent third-party institution,which brings a nuanced and specialized approach to the governance of AI.

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“…This interaction influences technology development paths and commercial success of individual technologies (Ailisto et al, 2018; see also the ongoing work Regulatory reform-OECD, 2020). AI technologies are not an exception and AI regulation is an active area of interest, discussion and research (for example, see: Etzioni, 2018; House of Commons Science and Technology Committee, 2018; Koulu et al, 2019;O'Sullivan & Thierer, 2018). Notably, White House has released a guidance for regulating AI applications (Heckman, 2020).…”

Section: Do Ai Platforms Resemble Utility Companies? To What Extent?mentioning

confidence: 99%

Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy

Mucha

Seppälä

2020

SSRN Journal

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Three out of nine of S&P500 digital platform companies stand out as building own artificial intelligence (AI) platforms. There is overwhelming empirical evidence of AI technologies are being central to running a digital platform business. However, the current research agenda is not directing researchers to study AI technologies in the context of digital platforms. We have divided the proposed AI platforms research agenda as follows: The first set of questions we propose relates to an overall conceptualization of AI platforms. Thereafter, we recognize specific aspects of AI platforms, which need to be investigated in detail to gain understanding that is more complete. The second set of questions we propose relates to understanding the dynamics between AI platforms and the broader socioeconomic context. This topic might be particularly relevant to economies of countries without indigenous AI platforms. Our paper builds on the proposition that AI is a general-purpose technology, which by itself carries properties of a digital platform.

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Counterpoint: Regulators should allow the greatest space for AI innovation

Abstract: Permissionless innovation should be the governing policy for AI technologies.

Cited by 4 publications

References 0 publications

Policy Regulation of Artificial Intelligence: A Review of the Literature

Policy Regulation of Artificial Intelligence: A Review of the Literature

The Criteria of Chinese Regulatory Framework on Artificial Intelligence: Reflections Based on Cost-Benefit Analysis

Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy

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