2,462 research outputs found

    Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

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    There has been much discussion of the right to explanation in the EU General Data Protection Regulation, and its existence, merits, and disadvantages. Implementing a right to explanation that opens the black box of algorithmic decision-making faces major legal and technical barriers. Explaining the functionality of complex algorithmic decision-making systems and their rationale in specific cases is a technically challenging problem. Some explanations may offer little meaningful information to data subjects, raising questions around their value. Explanations of automated decisions need not hinge on the general public understanding how algorithmic systems function. Even though such interpretability is of great importance and should be pursued, explanations can, in principle, be offered without opening the black box. Looking at explanations as a means to help a data subject act rather than merely understand, one could gauge the scope and content of explanations according to the specific goal or action they are intended to support. From the perspective of individuals affected by automated decision-making, we propose three aims for explanations: (1) to inform and help the individual understand why a particular decision was reached, (2) to provide grounds to contest the decision if the outcome is undesired, and (3) to understand what would need to change in order to receive a desired result in the future, based on the current decision-making model. We assess how each of these goals finds support in the GDPR. We suggest data controllers should offer a particular type of explanation, unconditional counterfactual explanations, to support these three aims. These counterfactual explanations describe the smallest change to the world that can be made to obtain a desirable outcome, or to arrive at the closest possible world, without needing to explain the internal logic of the system

    TannhĂ€user’s dilemma: a counterfactual analysis

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    Nelson Goodman\u27s Hockey Seen: A Philosopher\u27s Approach to Performance

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    Does migration for domestic work reduce poverty? A review of the literature and an agenda for research

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    This review of the published academic literature on internal and regional migration for domestic work in Africa and Asia shows a dearth of studies on internal migration for domestic work in South Asia, and both internal and regional migration for domestic work in East Africa and West Africa. The existing literature is heavily dominated by papers on the transnational migration of domestic workers from South East and East Asia which examine in detail the shortcomings of the legal framework for regulating working conditions and recruitment practices resulting in little protection for migrant workers against exploitation. The paper highlights the serious lack of attention paid to the impacts of migration for domestic work on poverty levels within families in source areas. This is a significant gap in the literature given that migration is usually a household decision in which one member migrates to access more remunerative employment and remit money home. The paper offers a number of suggestions for improving the evidence base on this important migration stream

    A Short Guide To Material Speculation: Actual Artifacts For Critical Inquiry

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    Speculative and fictional approaches have long been implemented in human-computer interaction and design techniques through scenarios, prototypes, forecasting, and envisionments. Recently, speculative and critical design approaches have reflectively explored and questioned possible, and preferable futures in HCI research. We propose a complementary concept – material speculation – that utilizes actual and situated design artifacts in the everyday as a site of critical inquiry. We see the literary theory of possible worlds and the related concept of the counterfactual as informative to this work. We briefly present three examples of interaction design artifacts that can be viewed as material speculations.&nbsp

    Europa Universalis IV and Deep Learning: Historical Accuracy, Counterfactuals and Historical Themes

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    This article examines issues encountered with Europa Universalis IV (EUIV) in terms of teaching history in adult learning. The article identifies the educational limitations of the game, as well as the types of history that can be learnt from it. The data collected from participant responses is examined in terms of an ongoing concern regarding the balancing of historical accuracy and gameplay in EUIV. In this discussion about balance, participants raise common concerns about the historical abstraction, historical misinformation and counterfactual elements within EUIV. Nonetheless, the article argues that despite these ahistorical elements, EUIV can still potentially portray many of history’s larger trends and influences. Given the portrayal of these trends in-game, the article examines the pedagogical utility of the game in terms of narrative engagements with history and the promotion of deeper forms of learning
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