Hidden Stories — an investigation of the stories that are being told about the refugee crisis

Reveal rather than enframe

Stories and Systems

Representations as part of our human condition

Time travel as imagined in 1989's Back To The Future

Why do we want to learn representations when doing Machine Learning?

  • Investigative: What is investigative journalism? The best definition of what constitutes “investigative” journalism is journalism that seeks to reveal something that someone with some level of power (a person, group or institution) seeks to keep a secret[6].
  • Community-driven: Communities bring the energy and expertise to reinvent themselves from within. We wanted to investigate and learn from the success stories of how civic journalism used to serve communities in the 1990s. The focus of civic journalism was to go beyond informing the public and help provide support and interventions that enriched community life. Its founders described it as “a craft that builds up the world while simultaneously describing it”[7].
  • Journalism: Journalism has historically played a central role in shaping public discourse. We wanted to understand the challenges journalists face in their invaluable work to help some of the most vulnerable people in the world in the setting of refugee camps.
  • AI tools for intervention rather than prediction: we wanted to research what kinds of technological tools are already in place in the broader ecosystem of organizations and individuals working to provide sustainable solutions to the problems facing displaced communities.

What becomes possible if we have good representations?

References

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Senior Trustworthy AI Research Fellow at Mozilla Foundation // AI transparency and accountability // Justice // Solidarity // Open Climate

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Bobi Rakova

Bobi Rakova

Senior Trustworthy AI Research Fellow at Mozilla Foundation // AI transparency and accountability // Justice // Solidarity // Open Climate

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