[TMP-018] Algorithmic bias and media effects
This project explores how algorithmic bias and media influence in social networks drive polarization, testing if moderate media reduces it.
"Research bundles" give you a space in the AI on-demand platform where you can collect and publish the outputs of a small research project in a compact way. A research bundle collects in a single place all the assets (code, data, tutorials, examples, ...) produced by your project and published on the AI on-demand platform. Of course, you can also put links to assets published elsewhere, like Github or Zenodo.
This project explores how algorithmic bias and media influence in social networks drive polarization, testing if moderate media reduces it.
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A central challenge is to bring people together to create innovations.
The workshop designs an Assistive AI roadmap, aligns with regulations, and initiates micro-projects to address AI's societal impacts.
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