Algorithmic governance and the need for consumer empowerment in data-driven markets
Open accessAbstract
The present article argues that the fact that personal data holds great value, in combination with a lack of transparency in its commercial use, leads to a need for consumer policy that strengthens consumer protection.The widespread practice of user agreements and consent-based regulation of personal data collection is not satisfactory for balancing these information-asymmetric markets.The lack of transparency deriving from the complex and massive datafication of consumers -where consumers are profiled, data is brokered and the algorithmically automated decision-making is opaque -speaks to the need for improved supervision at a more structural level above and beyond the individual consumer's choices, preferably by more active consumer protection authorities.
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Over the last few years, a number of ethics guidelines have been developed relating to AI by companies, research associations, and government representatives.
“Over the last few years, a number of ethics guidelines have been developed relating to AI: by companies, research associations, and government representatives.12”
From On the Governance of Artificial Intelligence through Ethics Guidelines (2020) · cites this paper as [12]
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- Authors
- Larsson, S.
- Affiliations
- Lund University (SE)
- Corresponding author
- Larsson, Stefan
- ORCID
- Larsson, Stefan
- Venue
- Internet Policy Review
- Published
- 2018-05-15
- Volume
- 7
- Issue
- 2
- ISSN
- 2197-6775 (ISSN-L)
- OpenAlex
- W2809517930
- Cited by
- 27
- References
- 32
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 6 · 2021: 9 · 2020: 2 · 2019: 2
- FWCI
- 29.93
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Internet Policy Review (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Econstor (Econstor) (submittedVersion, cc-by)
- Lund University Publications (Lund University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Strategy and Management › Diverse Legal and Medical Studies
- Keywords
- algorithmic governance, consumer empowerment, consumer protection, personal data, data-driven markets, datafication, information asymmetry, user agreements, data brokers, consumer profiling, automated decision-making, transparency, consumer protection authorities
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