Roles of AI(Artificial Intelligence) in the National Assembly Legislation process under the Representative system: focused on finding and decision on public interest

2018 ◽  
Vol 11 (3) ◽  
pp. 49-80
Author(s):  
Wonyong Cho ◽  
Keyword(s):  
Artificial Intelligence ◽  
Public Interest ◽  
National Assembly ◽  
Representative System

scholarly journals Corporate Governance of Artificial Intelligence in the Public Interest

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 275
Author(s):  
Peter Cihon ◽  
Jonas Schuett ◽  
Seth D. Baum
Keyword(s):  
Artificial Intelligence ◽  
Corporate Governance ◽  
Law Enforcement ◽  
Nonprofit Organizations ◽  
Public Interest ◽  
Department Of Defense ◽  
The Public ◽  
Wide Range ◽  
The Media ◽  
The U.S

Corporations play a major role in artificial intelligence (AI) research, development, and deployment, with profound consequences for society. This paper surveys opportunities to improve how corporations govern their AI activities so as to better advance the public interest. The paper focuses on the roles of and opportunities for a wide range of actors inside the corporation—managers, workers, and investors—and outside the corporation—corporate partners and competitors, industry consortia, nonprofit organizations, the public, the media, and governments. Whereas prior work on multistakeholder AI governance has proposed dedicated institutions to bring together diverse actors and stakeholders, this paper explores the opportunities they have even in the absence of dedicated multistakeholder institutions. The paper illustrates these opportunities with many cases, including the participation of Google in the U.S. Department of Defense Project Maven; the publication of potentially harmful AI research by OpenAI, with input from the Partnership on AI; and the sale of facial recognition technology to law enforcement by corporations including Amazon, IBM, and Microsoft. These and other cases demonstrate the wide range of mechanisms to advance AI corporate governance in the public interest, especially when diverse actors work together.

scholarly journals Contesting algorithms: Restoring the public interest in content filtering by artificial intelligence

2020 ◽  
Vol 7 (2) ◽  
pp. 205395172093229
Author(s):  
Niva Elkin-Koren
Keyword(s):  
Artificial Intelligence ◽  
Public Interest ◽  
Hate Speech ◽  
Fair Use ◽  
Content Filtering ◽  
The Public ◽  
Intelligence System ◽  
Dramatic Shift ◽  
The Public Sphere ◽  
Democratic Principles

In recent years, artificial intelligence has been deployed by online platforms to prevent the upload of allegedly illegal content or to remove unwarranted expressions. These systems are trained to spot objectionable content and to remove it, block it, or filter it out before it is even uploaded. Artificial intelligence filters offer a robust approach to content moderation which is shaping the public sphere. This dramatic shift in norm setting and law enforcement is potentially game-changing for democracy. Artificial intelligence filters carry censorial power, which could bypass traditional checks and balances secured by law. Their opaque and dynamic nature creates barriers to oversight, and conceals critical value choices and tradeoffs. Currently, we lack adequate tools to hold them accountable. This paper seeks to address this gap by introducing an adversarial procedure— – Contesting Algorithms. It proposes to deliberately introduce friction into the dominant removal systems governed by artificial intelligence. Algorithmic content moderation often seeks to optimize a single goal, such as removing copyright-infringing materials or blocking hate speech, while other values in the public interest, such as fair use or free speech, are often neglected. Contesting algorithms introduce an adversarial design which reflects conflicting values, and thereby may offer a check on dominant removal systems. Facilitating an adversarial intervention may promote democratic principles by keeping society in the loop. An adversarial public artificial intelligence system could enhance dynamic transparency, facilitate an alternative public articulation of social values using machine learning systems, and restore societal power to deliberate and determine social tradeoffs.

Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence

2019 ◽  
Vol 61 (4) ◽  
pp. 110-134 ◽  
Author(s):  
Jürgen Kai-Uwe Brock ◽  
Florian von Wangenheim
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Public Interest ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Senior Managers ◽  
Technological Advances

Recent years have seen a reemergence of interest in artificial intelligence (AI) among both managers and academics. Driven by technological advances and public interest, AI is considered by some as an unprecedented revolutionary technology with the potential to transform humanity. But, at this stage, managers are left with little empirical advice on how to prepare and use AI in their firm’s operations. Based on case studies and the results of two global surveys among senior managers across industries, this article shows that AI is typically implemented and used with other advanced digital technologies in firms’ digital transformation projects. The digital transformation projects in which AI is deployed are mostly in support of firms’ existing businesses, thereby demystifying some of the transformative claims made about AI. This article then presents a framework for successfully implementing AI in the context of digital transformation, offering specific guidance in the areas of data, intelligence, being grounded, integrated, teaming, agility, and leadership.

Political Cynicism, Public Interest Blackballing and Voter Turnout: The Case of South Korea's 2000 National Assembly Elections

2004 ◽  
Vol 5 (1) ◽  
pp. 91-111 ◽  
Author(s):  
SUNWOONG KIM ◽  
KISUK CHO
Keyword(s):  
Survey Data ◽  
Voter Turnout ◽  
Public Interest ◽  
Negative Information ◽  
Regression Analyses ◽  
The South ◽  
Aggregated Data ◽  
National Assembly ◽  
Political Cynicism

In the South Korea's 16th National Assembly (NA) elections held on 13 April 2000, there was widespread speculation that the Citizens Alliance's (CA's) public interest blackballing campaign against ‘unfit’ candidates increased voter cynicism and decreased voter turnout, as it was the lowest ever for NA elections. We empirically evaluate this speculation by conducting logit analyses of individual voter survey data as well as regression analyses on district-wide aggregated data on turnout. Although we find that cynical voters are likely to be more sympathetic to CA's blackballing campaign, we do not find any evidence that the campaign decreases voter turnout. These findings are consistent with Kahn and Kenny (1999) who argue that voters respond well to the negative information if it is presented in an appropriate manner.

scholarly journals Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

2021 ◽  
Author(s):  
Sung Wook Kim ◽  
Jun Ho Kong ◽  
Sang Won Lee ◽  
Seungchul Lee
Keyword(s):  
Artificial Intelligence ◽  
Public Interest ◽  
Industry 4.0 ◽  
Manufacturing Industries ◽  
Human Beings ◽  
Precision Engineering ◽  
Daily Lives ◽  
Industrial Sectors ◽  
Recent Advances ◽  
Traditional Manufacturing

AbstractThe recent advances in artificial intelligence have already begun to penetrate our daily lives. Even though the development is still in its infancy, it has been shown that it can outperform human beings even in terms of intelligence (e.g., AlphaGo by DeepMind), implying a massive potential for its broader application in various industrial sectors. In particular, the growing public interest in industry 4.0, which focuses on revolutionizing the traditional manufacturing scene, has stimulated a deeper investigation of its possible applications in the related industries. Since it has several limitations that hinder its direct usage, research on the convergence of artificial intelligence with other engineering fields, including precision engineering and manufacturing, is ongoing. This overview looks to summarize some of the important achievements made using artificial intelligence in some of the most influential and lucrative manufacturing industries in hopes of transforming the manufacturing sites.

scholarly journals Artificial intelligence, tech corporate governance and the public interest regulatory response

2020 ◽  
Vol 13 (1) ◽  
pp. 37-54 ◽  
Author(s):  
Alan Dignam
Keyword(s):  
Artificial Intelligence ◽  
Corporate Governance ◽  
Public Interest ◽  
Private Interest ◽  
Regulatory Response ◽  
The Public ◽  
Regulatory Model

Abstract This article attempts to get to the heart of some of the general misunderstanding of artificial intelligence (AI), its existent dangers and its problematic autocratic governance centred on US and Chinese tech dominance of the area. Having considered the extent of each in turn it proposes a regulatory model to place public rather than private interest at the heart of both technical and governance centred AI regulation.

Sign in / Sign up

Export Citation Format

Share Document