CSET Publishes AI Policy Recommendations for the Next Administration

2020 ◽  
Author(s):  
Andrew Imbrie ◽  
Ryan Fedasiuk ◽  
Tarun Chhabra ◽  
William Hannas ◽  
Dewey Murdick ◽  
...  

CSET has prepared policy recommendations for the next presidential administration to consider in five areas key to U.S. leadership in artificial intelligence.

2018 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Atsuko Okuda ◽  
Siope Vakataki ‘Ofa

This exploratory study aims to identify the main characteristics and relationships between artificial intelligence (AI) and broadband development in Asia and the Pacific. Broadband networks are the foundation and prerequisite for the development of AI. But what types of broadband networks would be conducive are not adequately discussed so far. Furthermore, in addition to broadband networks, other factors, such as income level, broadband quality, and investment, are expected to influence the uptake of AI in the region. The findings are synthesized into a set of policy recommendations at the end of the article, which highlights the need for regional cooperation through an initiative, such as the Asia-Pacific Information Superhighway (AP-IS). 


2019 ◽  
Author(s):  
Michael Veale

Cite as Michael Veale, ‘A Critical Take on the Policy Recommendations of the EU High-Level Expert Group on Artificial Intelligence’ (2020) __ European Journal of Risk Regulation __. doi:10/ggjdjsThe European Commission recently published the policy recommendations of its ‘High-Level Expert Group on Artificial Intelligence’: a heavily anticipated document, particularly in the context of the stated ambition of the new Commission President to regulate in that area. This essay argues that these recommendations have significant deficits in a range of areas. It analyses a selection of the Group’s proposals in context of the governance of artificial intelligence more broadly, focussing on issues of framing, representation and expertise, and on the lack of acknowledgement of key issues of power and infrastructure underpinning modern information economies and practices of optimisation.


2020 ◽  
Vol 21 (4) ◽  
pp. 731-757
Author(s):  
Joseph Lee

AbstractThis paper discusses the design of the legal and regulatory framework for using artificial intelligence (AI) in the financial services markets to enhance access to finance (financial inclusion). The author argues that the development of AI should continue to adhere to the regulatory objectives of market safety, consumer protection, and market integrity. However, to ensure equality and fairness, access to finance should be made a clear policy choice. In the first part, the author discusses how AI can lead to systemic risks and market manipulation on trading platforms. For example, by examining the use of algorithms for trading on the capital market, the author discerns the regulatory objectives and the possible methods of regulation for peer-to-peer platforms. In the second part, the author discusses how the use of AI to provide consumers with investment advice, such as financial advice provided from robo-advisers, can close the investment advisory gap and provide consumers with access to finance. The current regime does not provide adequate protection to financial consumers in this regard. In the third part, the author discusses how AI can be used as a form of RegTech to streamline compliance processes, thereby increasing competition in financial markets and providing a benefit to consumers. However, this use may be in conflict with privacy, data protection, and ethical concerns. The author makes policy recommendations and suggests some directions for governance in the use of AI in financial services to enhance access to finance. The findings of this paper are relevant to research on the future governance of AI in financial services, public policy innovation, and urban development.


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Radhika Radhakrishnan

In contemporary India, AI-enabled automated diagnostic models are beginning to control who gets access to what kind of medical care, with the most invasive systems being aimed at underserved communities. I critically question the dominant narrative of “AI for social good” that has been widely adopted by various stakeholders in the healthcare industry towards solving development challenges through the introduction of AI applications targeted towards the sick-poor. Using feminist theory, I argue that AI systems should not be seen as neutral products but complex sociotechnical processes embedded with gendered knowledge and labor. I analyze the layers of expropriation and experimentation that come into play when AI technologies become a method of using diverse bodies and medical records of the sick-poor as data to train proprietary AI algorithms at a low cost in the absence of effective state regulatory mechanisms. I posit that an overwhelming focus on “spectacular technologies” such as AI derails public efforts from solving the actual needs of populations targeted by the “AI for social good” narrative, and from the development of sustainable, responsible, situated healthcare solutions. Lastly, I offer social and policy recommendations that would enable us to envision inclusive feminist futures in which we understand and prioritize the needs of underserved populations over capitalist market logics in the development, deployment, and regulation of AI systems.


2020 ◽  
pp. 1-10 ◽  
Author(s):  
Michael VEALE

The European Commission recently published the policy recommendations of its “High-Level Expert Group on Artificial Intelligence”: a heavily anticipated document, particularly in the context of the stated ambition of the new Commission President to regulate in that area. This article argues that these recommendations have significant deficits in a range of areas. It analyses a selection of the Group’s proposals in context of the governance of artificial intelligence more broadly, focusing on issues of framing, representation and expertise, and on the lack of acknowledgement of key issues of power and infrastructure underpinning modern information economies and practices of optimisation.


2021 ◽  
pp. 42-55

This research investigates effects of artificial intelligence and digital economy on the 4th industry revolution from the perspective of Bangladesh. Artificial intelligence affecting the labor market both positively and negatively. Because of artificial intelligence, few existing jobs have been demolished and few new jobs have been emerged as well. Digital economy in Bangladesh is now an emerging issues with the blessings of artificial intelligence. Few employment opportunities will be created in Bangladesh because of emerging digital economy. The objective of this research is to analyze these opportunities and come out with few policy recommendations to implement towards industry revolution 4. Secondary data have been used along with recent relevant literatures to achieve the above stated objective as this is an empirical research. Ideas regarding revised national plan, financial tools, emerging digital economy in Bangladesh are the prominent outcome of this research. The policy recommendations of managing the gap between digital economy and industry revolution 4 regarding artificial intelligence could be helpful to The Government of the Peoples’ Republic of Bangladesh to implement policies.


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