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Works by Barbara J. Grosz

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  1.  49
    Pronouns, Names, and the Centering of Attention in Discourse.Peter C. Gordon,Barbara J. Grosz &Laura A. Gilliom -1993 -Cognitive Science 17 (3):311-347.
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  2.  20
    Collaborative plans for complex group action.Barbara J. Grosz &Sarit Kraus -1996 -Artificial Intelligence 86 (2):269-357.
  3. Embedded EthiCS: Integrating Ethics Across CS Education.Barbara J. Grosz,David Gray Grant,Kate Vredenburgh,Jeff Behrends,Lily Hu,Alison Simmons &Jim Waldo -2019 -Communications of the Acm 62 (8):54-61.
    The particular design of any technology may have profound social implications. Computing technologies are deeply intermeshed with the activities of daily life, playing an ever more central role in how we work, learn, communicate, socialize, and participate in government. Despite the many ways they have improved life, they cannot be regarded as unambiguously beneficial or even value-neutral. Recent experience shows they can lead to unintended but harmful consequences. Some technologies are thought to threaten democracy through the spread of propaganda on (...) online social networks, or to threaten privacy through the aggregation of datasets that include increasingly personal information, or to threaten justice when machine learning is used in such high-stakes, decision-making contexts as loan application reviews, employment procedures, or parole hearings. It is insufficient to ethically assess technology after it has produced negative social impacts, as has happened, for example, with facial recognition software that discriminates against people of color and with self-driving cars that are unable to cope with pedestrians who jay-walk. Developers of new technologies should aim to identify potential harmful consequences early in the design process and take steps to eliminate or mitigate them. This task is not easy. Designers will often have to negotiate among competing values—for instance, between efficiency and accessibility for a diverse user population, or between maximizing benefits and avoiding harm. There is no simple recipe for identifying and solving ethical problems. -/- Computer science education can help meet these challenges by making ethical reasoning about computing technologies a central element in the curriculum. Students can learn to think not only about what technology they could create, but also whether they should create that technology. Learning to reason this way requires courses unlike those currently standard in computer science curricula. A range of university courses on topics in areas of computing, ethics, society and public policy are emerging to meet this need. Some cover computer science broadly, while others focus on specific problems like privacy and security; typically, these classes exist as stand-alone courses in the computer science curriculum. Others have integrated ethics into the teaching of introductory courses on programming, artificial intelligence, and human-computer interaction. (shrink)
     
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  4.  39
    TEAM: An experiment in the design of transportable natural-language interfaces.Barbara J. Grosz,Douglas E. Appelt,Paul A. Martin &Fernando C. N. Pereira -1987 -Artificial Intelligence 32 (2):173-243.
  5.  20
    Modeling information exchange opportunities for effective human–computer teamwork.Ece Kamar,Yaʼakov Gal &Barbara J. Grosz -2013 -Artificial Intelligence 195 (C):528-550.
  6.  19
    Personalized change awareness: Reducing information overload in loosely-coupled teamwork.Ofra Amir,Barbara J. Grosz,Krzysztof Z. Gajos &Limor Gultchin -2019 -Artificial Intelligence 275 (C):204-233.
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  7.  17
    Plan recognition in exploratory domains.Yaʼakov Gal,Swapna Reddy,Stuart M. Shieber,Andee Rubin &Barbara J. Grosz -2012 -Artificial Intelligence 176 (1):2270-2290.
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  8.  23
    Chapter 5. Discourse Analysis.Barbara J. Grosz -1982 - In John Lehrberger & Richard Kittredge,Sublanguage: Studies of Language in Restricted Semantic Domains. De Gruyter. pp. 138-174.
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  9.  17
    Natural language processing.Barbara J. Grosz -1982 -Artificial Intelligence 19 (2):131-136.
  10.  17
    Natural-language processing.Barbara J. Grosz -1985 -Artificial Intelligence 25 (1):1-4.
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  11.  18
    The influence of social norms and social consciousness on intention reconciliation.Barbara J. Grosz,Sarit Kraus,David G. Sullivan &Sanmay Das -2002 -Artificial Intelligence 142 (2):147-177.
  12.  15
    Introduction.Fernando C. N. Pereira &Barbara J. Grosz -1993 -Artificial Intelligence 63 (1-2):1-15.
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