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Social Science Perspectives on Artificial Intelligence

Recording from extended lunch seminar 8 December 2021

This is event was an AI Lund lunch seminar extended with a round table discussion on what we do with AI and what AI does to us...

You access recordings and handouts below.

Title:  Social Science Perspectives on Artificial Intelligence

When: 8 December 2021, 12:15-14:00

Where

  • Eden  Hörsal, Allhelgona kyrkogata 14, Lund, Sweden.
  • Online 

Artificial Intelligence (AI) has so far predominantly been studied in the natural- and technical sciences with the aim of developing and improving it for everything from health care to education and warfare. But we have yet to come to terms with the broader question of how we can and should live with AI. For this reason, the roundtable ‘Social Science perspectives on Artificial intelligence’ explores the social, cultural and implications of AI from a number of social scientific vantage points, including sociology, ethics, political science and human geography. In doing so, the roundtable offers alternative ways of studying and interpreting AI that asks not only what AI can do for us but what we do with AI and what AI does to us.

Program

Forward-looking responsibility for AI development

Maria Hedlund, Department of Political Science, Lund university

Download slide deck as PDF.

Rolling out AI through smart city pilots - the role of local government

Dalia Mukhtar-Landgren, Department of Political Science, Lund university

Download slide deck as PDF.

The social power of AI: How algorithmic imaginaries shape humanitarian communication on social media.

Daniel Møller Ølgaard, Department of Political Science, Lund university

Download slide deck as PDF.

Machine Learning, Images and Rural Poverty

Ola Hall, Department of Human Geography, Lund university

Download slide deck as PDF.

13.00 Q&A and Round table discussion

Organisation

This event is organised by the network SamTech at Lund university. SamTech focus on social sciences questions relating to digitalisation, artificial intelligence, data mining and robotics.