Algorithmic governance and the need for consumer empowerment in data-driven markets

Research output: Contribution to journalArticle


title = "Algorithmic governance and the need for consumer empowerment in data-driven markets",
abstract = "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{\textquoteright}s choices, preferably by more active consumer protection authorities. ",
keywords = "algorithmic governance, personal data, GDPR, data protection, transparency, consumer policy, consumer protection, Konsumentverket, data-driven markets, consumer empowerment, supervisory methods, Cambridge Analytica, artificial intelligence, consumer profiling, automated decision-making, algorithms and policy, informed consent, non-informed consent, automated decision-making, Consumer profiling, Consumer protection, Informed Consent, Transparency",
author = "Stefan Larsson",
year = "2018",
month = may,
day = "15",
doi = "10.14763/2018.2.791",
language = "English",
volume = "7",
journal = "Internet Policy Review",
issn = "2197-6775",
publisher = "The Alexander Humboldt Institute for Internet and Society",
number = "2",