AWAKENING TO ALGORITHMIC TRANSGRESSIONS: NON-USER DISCOVERY OF ALGORITHMIC DECISION MAKING

• Algorithmic decision-making has become increasingly prevalent in civil society, often without individuals' awareness that decisions targeting them are delegated to machines. There is a growing need to understand how non-users can begin to suspect that they have been targeted by an algorithm and how they can uncover the hidden nature associated with these systems. In resource-scarce environments, such as the public sector, tracing transgressions to the algorithm is crucial to protect social justice and public trust in institutions. Building on the work of von Krogh (2018), this research examines the emotional, abductive, and collective work associated with algorithmic discovery.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv -- Företagsekonomi (hsv//swe)

SOCIAL SCIENCES  -- Economics and Business -- Business Administration (hsv//eng)

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