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  1.  75
    Patiency is Not a Virtue: The Design of Intelligent Systems and Systems of Ethics.Joanna J. Bryson - 2018 - Ethics and Information Technology 20 (1):15-26.
    The question of whether AI systems such as robots can or should be afforded moral agency or patiency is not one amenable either to discovery or simple reasoning, because we as societies constantly reconstruct our artefacts, including our ethical systems. Consequently, the place of AI systems in society is a matter of normative, not descriptive ethics. Here I start from a functionalist assumption, that ethics is the set of behaviour that maintains a society. This assumption allows me to exploit the (...)
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  2.  42
    Of, for, and by the People: The Legal Lacuna of Synthetic Persons.Joanna J. Bryson, Mihailis E. Diamantis & Thomas D. Grant - 2017 - Artificial Intelligence and Law 25 (3):273-291.
    Conferring legal personhood on purely synthetic entities is a very real legal possibility, one under consideration presently by the European Union. We show here that such legislative action would be morally unnecessary and legally troublesome. While AI legal personhood may have some emotional or economic appeal, so do many superficially desirable hazards against which the law protects us. We review the utility and history of legal fictions of personhood, discussing salient precedents where such fictions resulted in abuse or incoherence. We (...)
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  3.  45
    Robots Should Be Slaves.Joanna J. Bryson - 2010 - In Yorick Wilks (ed.), Close Engagements with Artificial Companions: Key social, psychological, ethical and design issues. pp. 63-74.
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  4.  12
    Just an Artifact: Why Machines Are Perceived as Moral Agents.Joanna J. Bryson & Philip P. Kime - manuscript
    How obliged can we be to AI, and how much danger does it pose us? A surprising proportion of our society holds exaggerated fears or hopes for AI, such as the fear of robot world conquest, or the hope that AI will indefinitely perpetuate our cul- ture. These misapprehensions are symptomatic of a larger problem—a confusion about the nature and origins of ethics and its role in society. While AI technologies do pose promises and threats, these are not qualitatively different (...)
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  5. A Role for Consciousness in Action Selection.Joanna J. Bryson - 2012 - International Journal of Machine Consciousness 4 (2):471-482.
  6.  7
    Just an Artifact: Why Machines Are Perceived as Moral Agents.Joanna J. Bryson & Philip P. Kime - 2011 - Ijcai Proceedings-International Joint Conference on Artificial Intelligence 22:1641.
  7.  2
    A Role for Consciousness in Action Selection.Joanna J. Bryson - 2012 - International Journal of Machine Consciousness 4 (2):471--482.
    This article argues that conscious attention exists not so much for selecting an immediate action as for using the current task to focus specialized learning for the action-selection mechanism and predictive models on tasks and environmental contingencies likely to affect the conscious agent. It is perfectly possible to build this sort of a system into machine intelligence, but it would not be strictly necessary unless the intelligence needs to learn and is resource-bounded with respect to the rate of learning versus (...)
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  8.  67
    Why Robot Nannies Probably Won't Do Much Psychological Damage.Joanna J. Bryson - 2010 - Interaction Studies 11 (2):196-200.
  9.  18
    The Role of Emotions in Inter-Action Selection.Jekaterina Novikova, Leon Watts & Joanna J. Bryson - 2014 - Interaction Studies 15 (2):216-223.
  10.  46
    Embodiment Versus Memetics.Joanna J. Bryson - 2007 - Mind and Society 7 (1):77-94.
    The term embodiment identifies a theory that meaning and semantics cannot be captured by abstract, logical systems, but are dependent on an agent’s experience derived from being situated in an environment. This theory has recently received a great deal of support in the cognitive science literature and is having significant impact in artificial intelligence. Memetics refers to the theory that knowledge and ideas can evolve more or less independently of their human-agent substrates. While humans provide the medium for this evolution, (...)
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  11.  7
    The Role of Emotions in Inter-Action Selection.Jekaterina Novikova, Leon Watts & Joanna J. Bryson - 2014 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 15 (2):216-223.
  12.  1
    On the Reliability of Unreliable Information.Dominic Mitchell, Joanna J. Bryson, Paul Rauwolf & Gordon P. D. Ingram - 2016 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 17 (1):1-25.
    When individuals learn from what others tell them, the information is subject to transmission error that does not arise in learning from direct experience. Yet evidence shows that humans consistently prefer this apparently more unreliable source of information. We examine the effect this preference has in cases where the information concerns a judgment on others’ behaviour and is used to establish cooperation in a society. We present a spatial model confirming that cooperation can be sustained by gossip containing a high (...)
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  13.  5
    Representations Underlying Social Learning and Cultural Evolution.Joanna J. Bryson - 2009 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 10 (1):77-100.
    Social learning is a source of behaviour for many species, but few use it as extensively as they seemingly could. In this article, I attempt to clarify our understanding of why this might be. I discuss the potential computational properties of social learning, then examine the phenomenon in nature through creating a taxonomy of the representations that might underly it. This is achieved by first producing a simplified taxonomy of the established forms of social learning, then describing the primitive capacities (...)
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  14.  31
    Consciousness is Easy but Learning is Hard.Joanna J. Bryson - 2004 - The Philosophers' Magazine 28:70-72.
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  15.  4
    Representations Underlying Social Learning and Cultural Evolution.Joanna J. Bryson - 2009 - Interaction Studies 10 (1):77-100.
    Social learning is a source of behaviour for many species, but few use it as extensively as they seemingly could. In this article, I attempt to clarify our understanding of why this might be. I discuss the potential computational properties of social learning, then examine the phenomenon in nature through creating a taxonomy of the representations that might underly it. This is achieved by first producing a simplified taxonomy of the established forms of social learning, then describing the primitive capacities (...)
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  16.  28
    Language Isn't Quite That Special.Joanna J. Bryson - 2002 - Behavioral and Brain Sciences 25 (6):679-680.
    Language isn't the only way to cross modules, nor is it the only module with access to both input and output. Minds don't generally work across modules because this leads to combinatorial explosion in search and planning. Language is special in being a good vector for mimetics, so it becomes associated with useful cross-module concepts we acquire culturally. Further, language is indexical, so it facilitates computationally expensive operations.
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  17. The Attentional Spotlight (Dennett and the Cog Project).Joanna J. Bryson - 2006 - Minds and Machines 16 (1):21-28.
    One of the interesting and occasionally controversial aspects of Dennett’s career is his direct involvement in the scientific process. This article describes some of Dennett’s participation on one particular project conducted at MIT, the building of the humanoid robot named Cog. One of the intentions of this project, not to date fully realized, was to test Dennett’s multiple drafts theory of consciousness. I describe Dennett’s involvement and impact on Cog from the perspective of a graduate student. I also describe the (...)
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  18.  52
    The Attentional Spotlight.Joanna J. Bryson - 2006 - Minds and Machines 16 (1):21-28.
    One of the interesting and occasionally controversial aspects of Dennett’s career is his direct involvement in the scientific process. This article describes some of Dennett’s participation on one particular project conducted at MIT, the building of the humanoid robot named Cog. One of the intentions of this project, not to date fully realized, was to test Dennett’s multiple drafts theory of consciousness. I describe Dennett’s involvement and impact on Cog from the perspective of a graduate student. I also describe the (...)
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  19.  15
    On the Reliability of Unreliable Information: Gossip as Cultural Memory.Dominic Mitchell, Joanna J. Bryson, Paul Rauwolf & Gordon P. D. Ingram - 2016 - Interaction Studies 17 (1):1-25.
  20.  8
    Replicators, Lineages, and Interactors.Daniel J. Taylor & Joanna J. Bryson - 2014 - Behavioral and Brain Sciences 37 (3):276-277.
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