Will Democracy Survive Big Data and Artificial Intelligence?
By Dirk Helbing, Bruno S. Frey, Gerd Gigerenzer, E. Hafen, M. Hagner, Yvonne Hofstetter, Jeroen van den Hoven, R. Zicari, Andrej J. Zwitter. Towards Digital Enlightenment, 2017
322 citations recorded by the source corpus.
Subfields: Safety Research, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/932c3b5ddef5248a984ce83f7a6dfdd5528c72b2
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In Safety Research
In Statistical and Nonlinear Physics
Citations in the corpus
- The Bias Bias in Behavioral Economics (2018, background): “…without external steering or coercement, which is equally important today, where the combination of nudging with big data technology provides opportunities for “Big Nudging,” that is, the massive manipulation of people’s goals and preferences using large amounts of data (Helbing et al., 2017).”
- Ethical Implications and Accountability of Algorithms (2018, unknown): “Further, companies using algorithms to nudge consumers in a preferred direction can undercut the autonomy of decision makers (Helbing et al. 2017).”
- Artificial Intelligence and Management: The Automation–Augmentation Paradox (2020, background): “…from disciplines such as astronomy (Haiman, 2019), biology (Webb, 2018), law (Corrales, Fenwick, & Forgo ́ , 2018), medicine (Topol, 2019), politics (Helbing et al., 2019), psychology (Jaeger, 2016), and sociology (McFarland, Lewis, & Goldberg, 2016) have addressed and presented conceptual ideas.”
- Industry 4.0, global value chains and international business (2017, background): “Some commentators even fear that BDA may provide a threat to democracy (Helbing et al., 2017).”
- Truth from the machine: artificial intelligence and the materialization of identity (2021, background): “It has been argued, for instance, that by altering public notions of truth and reshaping what it means to be a subject in society, AI undermines democracy (Helbing et al. 2019; Zimmer et al. 2019; Stark 2018).”
- Seven HCI Grand Challenges (2019, background): “Standing at crossroads, strategic decisions should be influenced by the principles of ΑΙ transparency, social and economic diversity, collective intelligence, and technology decentralization, reducing information distortion and pollution (Helbing et al., 2019).”