Algorithms shape our beliefs
Notes and ideas for my dissertation on privacy, filter bubbles and digital democracy
Algorithms shape our beliefs
Preference Amplification in Recommender Systems
scontent-dub4-1.xx.fbcdn.net2401.16863v1.pdf
arxiv.orgA chief route to counter these feelings and strengthen democracy is to better include citizens throughout the deliberation and decision-making processes behind policy decisions
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View of ‘Ai Theory of Justice’: Using Rawlsian Approaches to Legislate Better on Machine Learning in Government
journals.sas.ac.ukGilboa (2019), ‘AI provides us with the unprecedented opportunity to transform our society into one that is more just.’
AI systems today are often opaque and poorly understood, if they can be unpacked to show how the output was reached, algorithms can increase auditability. If people exercise judgement with access to auditable information provided by an algorithm, this could increase transparency, accountability and correct for human bias.
digital privacy has become fundamental to preserving our understanding of freedom, autonomy, and human dignity—the values underpinning democracy itself
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There is not yet a shared understanding of digital privacy’s implications for democracy, particularly across varying political and legal contexts.
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Unwarranted surveillance interferes with people's privacy and thus undermine their capacity for democratic self-determination.
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Starting with privacy, the main challenge that is linked with privacy violations is the possibility of unfair or otherwise malicious uses of personal data to target individual users. Thus, from our review, it emerges that privacy concerns may be best conceptualised as exposure to risk. Moreover, the types of risk to which privacy violations expose... See more
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. It includes different recommendation algorithms and social network dynamics. Cognitive filters are based on the Triple Filter Bubble model