Governing artificial intelligence in the media and communications sector

被引：6

作者：

Pierson, Jo ^{[1
]}

Kerr, Aphra ^{[2
]}

Robinson, Stephen Cory ^{[3
]}

Fanni, Rosanna ^{[4
]}

Steinkogler, Valerie Eveline ^{[5
]}

Milan, Stefania ^{[6
]}

Zampedri, Giulia ^{[5
]}

机构：

[1] Hasselt Univ, Hasselt, Belgium

[2] Maynooth Univ, Maynooth, Ireland

[3] Linkoping Univ, Linkoping, Sweden

[4] Ctr European Policy Studies CEPS, Brussels, Belgium

[5] Vrije Univ Brussel, Brussels, Belgium

[6] Univ Amsterdam, Amsterdam, Netherlands

来源：

INTERNET POLICY REVIEW | 2023年 / 12卷 / 01期

基金：

比利时弗兰德研究基金会; 爱尔兰科学基金会;

关键词：

Artificial intelligence; Trust; AI governance; European policymaking; SYSTEMS;

D O I：

10.14763/2023.1.1683

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

The article analyses critical blindspots in current European Artificial Intelligence (AI) policies and examines the potential impact of data and AI in the emerging socio-technical ecosystem of the contemporary Media and Communications (MC) sector from the perspective of critical media and communication studies. We first identify central blind spots in the dominant EU trustworthy and risk-based approach to governing AI. Next, we propose a novel multi-level framework to analyse key policy challenges for governing AI in the MC sector. The framework and discussion are based on desk research and multi-stakeholder expert discussions. The article concludes with reflections on AI governance in development, deployment and use in the MC sector.

引用

页码：28 / 28

页数：1

共 50 条

[31] Special focus on artificial intelligence for optical communications
Yuefeng JI
Chao LU
Darko ZIBAR
Huanlai XING
ScienceChina(InformationSciences), 2020, 63 (06) : 5 - 6
[32] Applications of Artificial Intelligence Algorithms in the Energy Sector
Szczepaniuk, Hubert
Szczepaniuk, Edyta Karolina
ENERGIES, 2023, 16 (01)
[33] Artificial Intelligence: Opportunities and Challenges for the Public Sector
Susar, Deniz
Aquaro, Vincenzo
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2019), 2019, : 418 - 426
[34] Hybrid intelligence for the public sector: A bibliometric analysis of artificial intelligence and crowd intelligence
Liu, Helen K.
Tang, Muhchyun
Collard, Antoine Serge J.
GOVERNMENT INFORMATION QUARTERLY, 2025, 42 (01)
[35] Utilization and challenges of artificial intelligence in the energy sector
Park, Chankook
Kim, Minkyu
ENERGY & ENVIRONMENT, 2024,
[36] Artificial Intelligence in the Public Sector - a Research Agenda
Wirtz, Bernd W.
Langer, Paul F.
Fenner, Carolina
INTERNATIONAL JOURNAL OF PUBLIC ADMINISTRATION, 2021, 44 (13) : 1103 - 1128
[37] Artificial Intelligence to Improve the Food and Agriculture Sector
Ben Ayed, Rayda
Hanana, Mohsen
JOURNAL OF FOOD QUALITY, 2021, 2021
[38] aiWATERS: an artificial intelligence framework for the water sector
Darshan Vekaria
Sunil Sinha
AI in Civil Engineering, 2024, 3 (1):
[39] Consumers' Perception of Artificial Intelligence in Banking Sector
Ryzhkova, Marina
Soboleva, Ekaterina
Sazonova, Anastasia
Chikov, Mikhail
XVII INTERNATIONAL CONFERENCE OF STUDENTS AND YOUNG SCIENTISTS PROSPECTS OF FUNDAMENTAL SCIENCES DEVELOPMENT (PFSD-2020), 2020,
[40] Managing Artificial Intelligence Deployment in the Public Sector
Campion, Averill
Hernandez, Mila-Gasco
Jankin, Slava Mikhaylov
Esteve, Marc
COMPUTER, 2020, 53 (10) : 28 - 37

← 1 2 3 4 5 →