Illuminates how algorithms, intertwined with human biases, damage political discourse and civic engagement
Algorithmic Worldmaking is an urgent exploration of the dynamic relationship between algorithms that encode their human creators’ assumptions and the humans whose choices are shaped by these algorithms in search engines, social media, and other digital spaces. Transcending discussions of one or the other, Jeremy David Johnson traces the corrupting political and social influences that arise from their mutual interaction.
Johnson uses the concept of kosmos in its sense of a dynamic order to frame the interplay between algorithms, humans, and their environments. He first shows how algorithms, far from being objective or unbiased, perpetuate human errors. Johnson then suggests a framework of four parts—navigation, exploration, maintenance, and monetization—to map the variety of political consequences to a society influenced by these four factors.
Citing controversies at major platforms such as Google, YouTube, and Facebook, Johnson demonstrates how algorithms limit and shape human thought. He makes several persuasive arguments. First, algorithms and humans share agency but humans have exceptional responsibility. Second, the algorithmic kosmos mirrors and shapes social oppression. Third, algorithms incentivize capitalist exploitation. Last, these influences damage democratic deliberation.
This landmark study is essential for scholars and students of political science, media studies, and those interested in the perilous implications of algorithmic systems on civic and political life.
Through algorithms and artificial intelligence (AI), objects and digital services now demonstrate new skills they did not have before, right up to replacing human activity through pre-programming or by making their own decisions. As part of the internet of things, AI applications are already widely used today, for example in language processing, image recognition and the tracking and processing of data.
This policy brief illustrates the potential negative and positive impacts of AI and reviews related policy strategies adopted by the UK, US, EU, as well as Canada and China. Based on an ethical approach that considers the role of AI from a democratic perspective and considering the public interest, the authors make policy recommendations that help to strengthen the positive impact of AI and to mitigate its negative consequences.
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