Controlling the Creations

Turner, Jacob

doi:10.1007/978-3-319-96235-1_8

Cited by 9 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In hybridity, there is a bidirectional impact where business models are transported into the public sphere and public issues are transferred to business goals [138]. Although there are some ideas to formulate PPPs and make use of hybridity on the fronts of robotics [121] and AI [12,162], most ventures and theorizing has focused on having the main responsibility in public or in private hands [3,20,31,150]. Hence, previous solutions mostly take the form of proposing strong governmental control over AI regulation, or delegating responsibility to the industry.…”

Section: Benefits and Problems With Previous Solutionsmentioning

confidence: 99%

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Walter

2024

Discov Artif Intell

View full text Add to dashboard Cite

This paper delves into the complexities of global AI regulation and governance, emphasizing the socio-economic repercussions of rapid AI development. It scrutinizes the challenges in creating effective governance structures amidst the AI race, considering diverse global perspectives and policies. The discourse moves beyond specific corporate examples, addressing broader implications and sector-wide impacts of AI on employment, truth discernment, and democratic stability. The analysis focuses on contrasting regulatory approaches across key regions—the United States, European Union, Asia, Africa, and the Americas and thus highlighting the variations and commonalities in strategies and implementations. This comparative study reveals the intricacies and hurdles in formulating a cohesive global policy for AI regulation. Central to the paper is the examination of the dynamic between rapid AI innovation and the slower pace of regulatory and ethical standard-setting. It critically evaluates the advantages and drawbacks of shifting regulatory responsibilities between government bodies and the private sector. In response to these challenges, the discussion proposes an innovative and integrated regulatory model. The model advocates for a collaborative network that blends governmental authority with industry expertise, aiming to establish adaptive, responsive regulations (called “dynamic laws”) that can evolve with technological advancements. The novel approach aims to bridge the gap between rapid AI advancements in the industry and the essential democratic processes of law-making.

show abstract

Section: Benefits and Problems With Previous Solutionsmentioning

confidence: 99%

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Walter

2024

Discov Artif Intell

View full text Add to dashboard Cite

show abstract

“…The retribution gap follows from the fact that the two main tools traditionally available to the human legal order as enforcement mechanisms against an agent who has been found civilly or criminally liable—namely financial awards (compensatory or punitive) and imprisonment—do not work directly against an AI machine/agent. 25 This implies that the deterrence function that the possible imposition of those penalties is meant to fulfill for humans would be similarly ineffective, even if somehow the machine “understood” the intended deterrence function (Turner 2018 , 361).…”

Section: The Regulatory Role Of Kill Switchesmentioning

confidence: 99%

“…The “punishment” that seems more readily available is to temporarily or permanently deactivate the AI machine by using what is colloquially referred to as a “kill switch” (Turner 2018 , 364–365). During the deactivated (“down”) phase, the machine may be “rehabilitated”, that is, its code can be debugged.…”

Section: The Regulatory Role Of Kill Switchesmentioning

confidence: 99%

Towards an effective transnational regulation of AI

Gervais

2021

AI & Soc

View full text Add to dashboard Cite

Law and the legal system through which law is effected are very powerful, yet the power of the law has always been limited by the laws of nature, upon which the law has now direct grip. Human law now faces an unprecedented challenge, the emergence of a second limit on its grip, a new “species” of intelligent agents (AI machines) that can perform cognitive tasks that until recently only humans could. What happens, as a matter of law, when another species interacts with us, can be integrated into human minds and bodies, makes “real-world” decisions—not through human proxies, but directly—and does all this “intelligently”, with what one could call autonomous agency or even a “mind” of its own? The article starts from the clear premise that control cannot be exercised directly on AI machines through human law. That control can only be effected through laws that apply to humans. This has several regulatory implications. The article’s first discusses what, in any attempt to regulate AI machines, the law can achieve. Having identified what the law can do, the article then canvases what the law should aim to achieve overall. The article encapsulate its analysis in a list of both doctrinal and normative principles that should underpin any regulation aimed at AI machines. Finally, the article compares three transnational options to implement the proposed regulatory approach.

show abstract

“…Technologies such as robotics and artificial intelligence (AI) have entered the policing discourse in recent times, mainly due to the potential benefits that implementation of the same can have on the vocation. With the adoption of such technologies into western law enforcement practice, questions of ethics, public safety, privacy and civil liberties have also entered arisen (Hayashi et al, 2012;Joh, 2016Joh, , 2019Lin et al, 2017;Turner, 2018). These have been accentuated by a wider conversation about police culture and bias driven by contemporary and historical dissent against racism, sexism and the use of excessive force that had for years been associated with policing (Noriega, 2020;Osoba and Welser, 2017).…”

Section: Introductionmentioning

confidence: 99%

Going cyberpunk: Conceptualizing the smart(er) artificially intelligent firearm for policing's Utopian future

Chowdhury

2023

International Journal of Police Science & Management

View full text Add to dashboard Cite

As policing develops into a more professional, evidence-driven and technical endeavour, heightened public concern regarding organizational competence and police culture-related fallacies have become augmented, especially in the case of officer-involved shootings. Introduction of body-worn cameras, increased CCTV coverage, vehicle dashcams and the advent of social media, have provided avenues for investigation into misconduct, but institutional and individual failings such as racism, sexism and other forms of discrimination remain a concern. Technical innovations like smart guns, smart targeting and programmable projectiles have instigated conversations about traditional firearms and whether alternatives using cutting-edge technology could address some of these shortcomings. This article examines existing policing technologies, providing an overview of advanced computational and sensor systems, the risks and dangers of these mechanisms, as well as their potential benefits and drawbacks. It conceptualizes whether existing technologies can be transformed into a smarter, more efficient firearm, powered by artificial intelligence (AI). The premise of the AI-assisted firearm being the promise of a future in which unwanted outcomes in officer/citizen encounters can be counteracted through AI assisting in better decision-making. The article considers hardware and software, policy issues, associated risks and potential advantages of the firearms system, providing a wider perspective on the increasing use of computational technologies in policing practice, and highlighting areas for further research and discussion.

show abstract

Controlling the Creations

Cited by 9 publications

References 0 publications

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Towards an effective transnational regulation of AI

Going cyberpunk: Conceptualizing the smart(er) artificially intelligent firearm for policing's Utopian future

Contact Info

Product

Resources

About