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Adam Pham [13]Adam K. Pham [1]
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  1.  39
    Algorithms and Autonomy: The Ethics of Automated Decision Systems.Alan Rubel, Clinton Castro & Adam Pham - 2021 - Cambridge University Press.
    Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work… the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these (...)
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  2. Is the Attention Economy Noxious?Clinton Castro & Adam Pham - 2020 - Philosophers' Imprint 20 (17):1-13.
    A growing amount of media is paid for by its consumers through their very consumption of it. Typically, this new media is web-based and paid for by advertising. It includes the services offered by Facebook, Instagram, Snapchat, and YouTube. We offer an ethical assessment of the attention economy, the market where attention is exchanged for new media. We argue that the assessment has ethical implications for how the attention economy should be regulated. To conduct the assessment, we employ two heuristics (...)
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  3. Agency Laundering and Information Technologies.Alan Rubel, Clinton Castro & Adam Pham - 2019 - Ethical Theory and Moral Practice 22 (4):1017-1041.
    When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call “agency laundering.” At root, agency laundering involves obfuscating one’s moral responsibility by enlisting a technology or process to take some action and letting it forestall others from demanding an account for bad outcomes that result. We argue that the concept of agency laundering helps in understanding important moral problems in a number (...)
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  4. Algorithms, Agency, and Respect for Persons.Alan Rubel, Clinton Castro & Adam Pham - 2020 - Social Theory and Practice 46 (3):547-572.
    Algorithmic systems and predictive analytics play an increasingly important role in various aspects of modern life. Scholarship on the moral ramifications of such systems is in its early stages, and much of it focuses on bias and harm. This paper argues that in understanding the moral salience of algorithmic systems it is essential to understand the relation between algorithms, autonomy, and agency. We draw on several recent cases in criminal sentencing and K–12 teacher evaluation to outline four key ways in (...)
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  5. Epistemic Paternalism Online.Clinton Castro, Adam Pham & Alan Rubel - 2020 - In Guy Axtell & Amiel Bernal (eds.), Epistemic Paternalism. London: Rowman & Littlefield. pp. 29-44.
    New media (highly interactive digital technology for creating, sharing, and consuming information) affords users a great deal of control over their informational diets. As a result, many users of new media unwittingly encapsulate themselves in epistemic bubbles (epistemic structures, such as highly personalized news feeds, that leave relevant sources of information out (Nguyen forthcoming)). Epistemically paternalistic alterations to new media technologies could be made to pop at least some epistemic bubbles. We examine one such alteration that Facebook has made in (...)
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  6. The Moral Limits of the Market: The Case of Consumer Scoring Data.Clinton Castro & Adam Pham - 2019 - Ethics and Information Technology 21 (2):117-126.
    We offer an ethical assessment of the market for data used to generate what are sometimes called “consumer scores” (i.e., numerical expressions that are used to describe or predict people’s dispositions and behavior), and we argue that the assessment has ethical implications on how the market for consumer scoring data should be regulated. To conduct the assessment, we employ two heuristics for evaluating markets. One is the “harm” criterion, which relates to whether the market produces serious harms, either for participants (...)
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  7.  85
    Agency Laundering and Algorithmic Decision Systems.Alan Rubel, Adam Pham & Clinton Castro - 2019 - In N. Taylor, C. Christian-Lamb, M. Martin & B. Nardi (eds.), Information in Contemporary Society (Lecture Notes in Computer Science) (Proceedings of the 2019 iConference). Springer Nature. pp. 590-598.
    This paper has two aims. The first is to explain a type of wrong that arises when agents obscure responsibility for their actions. Call it “agency laundering.” The second is to use the concept of agency laundering to understand the underlying moral issues in a number of recent cases involving algorithmic decision systems. From the Proceedings of the 14th International Conference, iConference 2019, Washington D.C., March 31-April 3, 2019.
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  8. Democratic Obligations and Technological Threats to Legitimacy: PredPol, Cambridge Analytica, and Internet Research Agency.Alan Rubel, Clinton Castro & Adam Pham - 2021 - In Algorithms & Autonomy: The Ethics of Automated Decision Systems. Cambridge University Press: Cambridge University Press. pp. 163-183.
    ABSTRACT: So far in this book, we have examined algorithmic decision systems from three autonomy-based perspectives: in terms of what we owe autonomous agents (chapters 3 and 4), in terms of the conditions required for people to act autonomously (chapters 5 and 6), and in terms of the responsibilities of agents (chapter 7). -/- In this chapter we turn to the ways in which autonomy underwrites democratic governance. Political authority, which is to say the ability of a government to exercise (...)
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  9. Mainstream Economics and the Austrian School: Toward Reunification.Adam K. Pham - 2017 - Erasmus Journal for Philosophy and Economics 10 (1):41-63.
    In this paper, I compare the methodology of the Austrian school to two alternative methodologies from the economic mainstream: the ‘orthodox’ and revealed preference methodologies. I argue that Austrian school theorists should stop describing themselves as ‘extreme apriorists’ (or writing suggestively to that effect), and should start giving greater acknowledgement to the importance of empirical work within their research program. The motivation for this dialectical shift is threefold: the approach is more faithful to their actual practices, it better illustrates the (...)
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  10.  20
    Stochasticity, Selection, and the Evolution of Cooperation in a Two-Level Moran Model of the Snowdrift Game.Brian McLoone, Wai-Tong Louis Fan, Adam Pham, Rory Smead & Laurence Loewe - 2018 - Complexity 2018:1-14.
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  11. What We Informationally Owe Each Other.Alan Rubel, Clinton Castro & Adam Pham - forthcoming - In Algorithms & Autonomy: The Ethics of Automated Decision Systems. Cambridge University Press: Cambridge University Press. pp. 21-42.
    ABSTRACT: One important criticism of algorithmic systems is that they lack transparency. Such systems can be opaque because they are complex, protected by patent or trade secret, or deliberately obscure. In the EU, there is a debate about whether the General Data Protection Regulation (GDPR) contains a “right to explanation,” and if so what such a right entails. Our task in this chapter is to address this informational component of algorithmic systems. We argue that information access is integral for respecting (...)
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  12.  68
    Consequentialism, Collective Action, and Causal Impotence.Tim Aylsworth & Adam Pham - 2020 - Ethics, Policy and Environment 23 (3):336-349.
    This paper offers some refinements to a particular objection to act consequentialism, the “causal impotence” objection. According to proponents of the objection, when we find circumstances in which severe, unnecessary harms result entirely from voluntary acts, it seems as if we should be able to indict at least one act among those acts, but act consequentialism appears to lack the resources to offer this indictment. Our aim is to show is that the most promising response on behalf of act consequentialism, (...)
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  13. Bias in Information, Algorithms, and Systems.Alan Rubel, Clinton Castro & Adam Pham - 2018 - In Jo Bates, Paul D. Clough, Robert Jäschke & Jahna Otterbacher (eds.), Proceedings of the International Workshop on Bias in Information, Algorithms, and Systems (BIAS). pp. 9-13.
    We argue that an essential element of understanding the moral salience of algorithmic systems requires an analysis of the relation between algorithms and agency. We outline six key ways in which issues of agency, autonomy, and respect for persons can conflict with algorithmic decision-making.
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  14. Social Media, Emergent Manipulation, and Political Legitimacy.Adam Pham, Alan Rubel & Clinton Castro - 2022 - In Fleur Jongepier & Michael Klenk (eds.), The Philosophy of Online Manipulation. New York: Routledge. pp. 353-369.
    Psychometrics firms such as Cambridge Analytica (CA) and troll factories such as the Internet Research Agency (IRA) have had a significant effect on democratic politics, through narrow targeting of political advertising (CA) and concerted disinformation campaigns on social media (IRA) (U.S. Department of Justice 2019; Select Committee on Intelligence, United States Senate 2019; DiResta et al. 2019). It is natural to think that such activities manipulate individuals and, hence, are wrong. Yet, as some recent cases illustrate, the moral concerns with (...)
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