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Global implications
Eirini Malliaraki · Jack Poulson · Vinodkumar Prabhakaran · Mona Sloane · Alexa Hagerty

Fri Dec 13 02:45 PM -- 03:45 PM (PST) @

The risks and benefits of AI are unevenly distributed within societies and across the globe. Governance regimes are drastically different in various regions of the world, as are the political and ethical implications of AI technologies. • How do we better understand how AI technologies operate around the world and the range of risks they carry for different societies? • Are there global claims about the implications of AI that can apply everywhere around the globe? If so, what are they? • What can we learn from AI’s impacts on labor, environment, public health and agriculture in diverse settings?

Author Information

Eirini Malliaraki (Alan Turing Institute)

I am a design engineer and entrepreneur. I am part of the Innovation Team at the Alan Turing Institute, the UK's National Centre for AI and Data Science, where I oversee project development with a focus on environmental data science and AI for climate action. I have a joint MA and MSc in Innovation Design Engineering from Imperial College London (ICL) and the Royal College of Art. I am the founder of an education tech startup Filisia, which uses multimedia games, sensors and machine learning to improve learning and therapy. I have worked as a researcher at ICL’s Morphological Computation Lab and have been involved in scoping and prototyping circular economy and rainforest sustainability projects in Chile, Indonesia, Ecuador and Brazil. More recently, I have worked as a design researcher in personalised healthcare at Microsoft Research in Cambridge UK. My design work has been publicized in Wired, Deutsche Welle, and the Huffington Post and has been exhibited at SXSW, the Venice Biennale for Architecture, and the V&A Museum among others.

Jack Poulson (Tech Inquiry)
Vinodkumar Prabhakaran (Google LLC)
Mona Sloane (NYU)
Alexa Hagerty (University of Cambridge; Dovetail Labs)

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