15 found
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  1. Social choice ethics in artificial intelligence.Seth D. Baum - 2020 - AI and Society 35 (1):165-176.
    A major approach to the ethics of artificial intelligence is to use social choice, in which the AI is designed to act according to the aggregate views of society. This is found in the AI ethics of “coherent extrapolated volition” and “bottom–up ethics”. This paper shows that the normative basis of AI social choice ethics is weak due to the fact that there is no one single aggregate ethical view of society. Instead, the design of social choice AI faces three (...)
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  2. Long-Term Trajectories of Human Civilization.Seth D. Baum, Stuart Armstrong, Timoteus Ekenstedt, Olle Häggström, Robin Hanson, Karin Kuhlemann, Matthijs M. Maas, James D. Miller, Markus Salmela, Anders Sandberg, Kaj Sotala, Phil Torres, Alexey Turchin & Roman V. Yampolskiy - 2019 - Foresight 21 (1):53-83.
    Purpose This paper aims to formalize long-term trajectories of human civilization as a scientific and ethical field of study. The long-term trajectory of human civilization can be defined as the path that human civilization takes during the entire future time period in which human civilization could continue to exist. -/- Design/methodology/approach This paper focuses on four types of trajectories: status quo trajectories, in which human civilization persists in a state broadly similar to its current state into the distant future; catastrophe (...)
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  3.  25
    On the Promotion of Safe and Socially Beneficial Artificial Intelligence.Seth D. Baum - 2017 - AI and Society 32 (4):543-551.
    This paper discusses means for promoting artificial intelligence that is designed to be safe and beneficial for society. The promotion of beneficial AI is a social challenge because it seeks to motivate AI developers to choose beneficial AI designs. Currently, the AI field is focused mainly on building AIs that are more capable, with little regard to social impacts. Two types of measures are available for encouraging the AI field to shift more toward building beneficial AI. Extrinsic measures impose constraints (...)
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  4. Intrinsic Ethics Regarding Integrated Assessment Models for Climate Management.Erich W. Schienke, Seth D. Baum, Nancy Tuana, Kenneth J. Davis & Klaus Keller - 2011 - Science and Engineering Ethics 17 (3):503-523.
    In this essay we develop and argue for the adoption of a more comprehensive model of research ethics than is included within current conceptions of responsible conduct of research (RCR). We argue that our model, which we label the ethical dimensions of scientific research (EDSR), is a more comprehensive approach to encouraging ethically responsible scientific research compared to the currently typically adopted approach in RCR training. This essay focuses on developing a pedagogical approach that enables scientists to better understand and (...)
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  5.  75
    Intrinsic Ethics Regarding Integrated Assessment Models for Climate Management.Erich W. Schienke, Seth D. Baum, Nancy Tuana, Kenneth J. Davis & Klaus Keller - 2011 - Science and Engineering Ethics 17 (3):503-523.
    In this essay we develop and argue for the adoption of a more comprehensive model of research ethics than is included within current conceptions of responsible conduct of research (RCR). We argue that our model, which we label the ethical dimensions of scientific research (EDSR), is a more comprehensive approach to encouraging ethically responsible scientific research compared to the currently typically adopted approach in RCR training. This essay focuses on developing a pedagogical approach that enables scientists to better understand and (...)
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  6.  23
    Reconciliation Between Factions Focused on Near-Term and Long-Term Artificial Intelligence.Seth D. Baum - 2018 - AI and Society 33 (4):565-572.
    Artificial intelligence experts are currently divided into “presentist” and “futurist” factions that call for attention to near-term and long-term AI, respectively. This paper argues that the presentist–futurist dispute is not the best focus of attention. Instead, the paper proposes a reconciliation between the two factions based on a mutual interest in AI. The paper further proposes realignment to two new factions: an “intellectualist” faction that seeks to develop AI for intellectual reasons and a “societalist faction” that seeks to develop AI (...)
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  7.  45
    The Role of the National Science Foundation Broader Impacts Criterion in Enhancing Research Ethics Pedagogy.Seth D. Baum, Michelle Stickler, James S. Shortle, Klaus Keller, Kenneth J. Davis, Donald A. Brown, Erich W. Schienke & Nancy Tuana - 2009 - Social Epistemology 23 (3):317-336.
    The National Science Foundation's Second Merit Criterion, or Broader Impacts Criterion , was introduced in 1997 as the result of an earlier Congressional movement to enhance the accountability and responsibility as well as the effectiveness of federally funded projects. We demonstrate that a robust understanding and appreciation of NSF BIC argues for a broader conception of research ethics in the sciences than is currently offered in Responsible Conduct of Research training. This essay advocates augmenting RCR education with training regarding broader (...)
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  8. Evaluating Future Nanotechnology: The Net Societal Impacts of Atomically Precise Manufacturing.Steven Umbrello & Seth D. Baum - 2018 - Futures 100:63-73.
    Atomically precise manufacturing (APM) is the assembly of materials with atomic precision. APM does not currently exist, and may not be feasible, but if it is feasible, then the societal impacts could be dramatic. This paper assesses the net societal impacts of APM across the full range of important APM sectors: general material wealth, environmental issues, military affairs, surveillance, artificial intelligence, and space travel. Positive effects were found for material wealth, the environment, military affairs (specifically nuclear disarmament), and space travel. (...)
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  9.  7
    Artificial Intelligence Needs Environmental Ethics.Seth D. Baum & Andrea Owe - forthcoming - Ethics, Policy and Environment:1-5.
  10.  38
    The Ethics of Global Catastrophic Risk From Dual-Use Bioengineering.Seth D. Baum & Grant S. Wilson - 2013 - Ethics in Biology, Engineering and Medicine 4 (1):59-72.
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  11.  29
    Value Typology in Cost-Benefit Analysis.Seth D. Baum - 2012 - Environmental Values 21 (4):499 - 524.
    Cost-benefit analysis (CBA) evaluates actions in terms of negative consequences (costs) and positive consequences (benefits). Though much has been said on CBA, little attention has been paid to the types of values held by costs and benefits. This paper introduces a simple typology of values in CBA and applies it to three forms of CBA: the common, money-based CBA, CBA based in social welfare, and CBA based in intrinsic value. The latter extends CBA beyond its usual anthropocentric domain. Adequate handling (...)
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  12. Climate Change: Evidence of Human Causes and Arguments for Emissions Reduction.Seth D. Baum, Jacob D. Haqq-Misra & Chris Karmosky - 2012 - Science and Engineering Ethics 18 (2):393-410.
    In a recent editorial, Raymond Spier expresses skepticism over claims that climate change is driven by human actions and that humanity should act to avoid climate change. This paper responds to this skepticism as part of a broader review of the science and ethics of climate change. While much remains uncertain about the climate, research indicates that observed temperature increases are human-driven. Although opinions vary regarding what should be done, prominent arguments against action are based on dubious factual and ethical (...)
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  13.  2
    From AI for People to AI for the World and the Universe.Seth D. Baum & Andrea Owe - forthcoming - AI and Society.
  14.  7
    Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems.Seth D. Baum - 2020 - Philosophy and Technology 34 (1):45-63.
    This paper considers the question: In what ways can artificial intelligence assist with interdisciplinary research for addressing complex societal problems and advancing the social good? Problems such as environmental protection, public health, and emerging technology governance do not fit neatly within traditional academic disciplines and therefore require an interdisciplinary approach. However, interdisciplinary research poses large cognitive challenges for human researchers that go beyond the substantial challenges of narrow disciplinary research. The challenges include epistemic divides between disciplines, the massive bodies of (...)
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    Deep Learning and the Sociology of Human-Level Artificial Intelligence: Harry Collins: Artifictional Intelligence: Against Humanity’s Surrender to Computers. Cambridge, UK: Polity, 2019. Xi+239pp, Paperback, $22.95 US.Seth D. Baum - 2020 - Metascience 29 (2):313-317.
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