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  • 2018

  • Broussard, Meredith (2018): Artificial unintelligence. How computers misunderstand the world. Cambridge, Massachusetts: The MIT Press

    Abstract: A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

  • 2010

  • Šabanović, Selma (2010): Robots in Society, Society in Robots. In: International Journal of Social Robotics 2 (4), S. 439-450. DOI: 10.1007/s12369-010-0066-7

    Abstract: This paper analyzes scientists' discourses on the social impacts and acceptability of robotics, based on data collected through participant observation and interviews with robotics researchers in the US and Japan. It shows that a linear, technologically determinist, view of the interaction between robots and society is dominant in the field; in this narrative the social impact of robotic technologies derives mostly from their technological capabilities and the aim is for society to accept and adapt to technological innovations. The framework of mutual shaping and co-production, which explores the dynamic interaction between robotics and society, is proposed as an alternative perspective on the dynamics between society and technology and a framework for envisioning and evaluating social robots. This approach focuses on analyzing how social and cultural factors influence the way technologies are designed, used, and evaluated as well as how technologies affect our construction of social values and meanings. Finally, the paper describes a range of methodologies of contextually grounded and participatory design that fit the mutual shaping framework and support a socially robust understanding of technological development that enables the participation of multiple stakeholders and disciplines.

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