The Emergence of Deepfake Technology: A Review

被引:344
作者
Westerlund, Mika [1 ,2 ,3 ]
机构
[1] Carleton Univ, Ottawa, ON, Canada
[2] Univ Calif Berkeley, Haas Sch Business, Berkeley, CA 94720 USA
[3] Aalto Univ, Sch Econ, Helsinki, Finland
来源
TECHNOLOGY INNOVATION MANAGEMENT REVIEW | 2019年 / 9卷 / 11期
关键词
Deepfake; fake news; artificial intelligence; deep learning; cybersecurity; FAKE NEWS; INFORMATION; BLOCKCHAIN;
D O I
10.22215/timreview/1282
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Novel digital technologies make it increasingly difficult to distinguish between real and fake media. One of the most recent developments contributing to the problem is the emergence of deepfakes which are hyper-realistic videos that apply artificial intelligence (AI) to depict someone say and do things that never happened. Coupled with the reach and speed of social media, convincing deepfakes can quickly reach millions of people and have negative impacts on our society. While scholarly research on the topic is sparse, this study analyzes 84 publicly available online news articles to examine what deepfakes are and who produces them, what the benefits and threats of deepfake technology are, what examples of deepfakes there are, and how to combat deepfakes. The results suggest that while deepfakes are a significant threat to our society, political system and business, they can be combatted via legislation and regulation, corporate policies and voluntary action, education and training, as well as the development of technology for deepfake detection, content authentication, and deepfake prevention. The study provides a comprehensive review of deepfakes and provides cybersecurity and AI entrepreneurs with business opportunities in fighting against media forgeries and fake news.
引用
收藏
页码:39 / 52
页数:14
相关论文
共 25 条
  • [11] 'Fake news': Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions
    De Keersmaecker, Jonas
    Roets, Arne
    [J]. INTELLIGENCE, 2017, 65 : 107 - 110
  • [12] The current state of fake news: challenges and opportunities
    Figueira, Alvaro
    Oliveira, Luciana
    [J]. CENTERIS 2017 - INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / PROJMAN 2017 - INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / HCIST 2017 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERI, 2017, 121 : 817 - 825
  • [13] Deepfakes, Artificial Intelligence, and Some Kind of Dystopia: The New Faces of Online Post-Fact Performance
    Fletcher, John
    [J]. THEATRE JOURNAL, 2018, 70 (04) : 455 - 471
  • [14] Floridi L., 2018, Philosophy and Technology, V31, P317, DOI DOI 10.1007/S13347-018-0325-3
  • [15] Hamborg Felix, 2018, INT J DIGITAL LIB
  • [16] Combating Deepfake Videos Using Blockchain and Smart Contracts
    Hasan, Haya R.
    Salah, Khaled
    [J]. IEEE ACCESS, 2019, 7 : 41596 - 41606
  • [17] Third person effects of fake news: Fake news regulation and media literacy interventions
    Jang, S. Mo
    Kim, Joon K.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2018, 80 : 295 - 302
  • [18] Katie Elson A., 2018, LIB HI TECH NEWS, V35, P1, DOI DOI 10.1108/LHTN-02-2018-0010
  • [19] The existential threat from cyber-enabled information warfare
    Lin, Herbert
    [J]. BULLETIN OF THE ATOMIC SCIENTISTS, 2019, 75 (04) : 187 - 196
  • [20] MacKenzie A., 2018, POSTDIGITAL SCI ED