Comparing frameworks for AI development allows us to see trends and reflect on how we are conceptualizing, interacting with, and imagining futures for AI. Recent scholarship comparing a range of AI frameworks has often focused methodologically on consensus, which has led to problems in evaluating potentially ambiguous values. We contribute to this scholarship using a rhetorical perspective attuned to how frameworks shape people’s actions. This perspective allows us to develop the concept of an “AI mainstream” through an analysis of five of the highest-profile frameworks, including Asimov’s Three Laws. We identify four features of this emerging AI mainstream shared by most/all of the frameworks: human-centered design focus, abstraction-oriented ethical reasoning, privileged authorship, and ahistorical regulatory justifications. Notably, each of these features permeates each framework, rather than being limited to a single principle. We then evaluate these shared features and offer scholarly alternatives to complement and improve them.
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BAAI does use the word “principles” but is naming actions that must be taken collectively, not abstract values.
Access Now (2018) The Toronto declaration: protecting the rights to equality and non-discrimination in machine learning systems.
Ahmed S (2012) On being included: racism and diversity in institutional life. Duke University Press, Durham
AI HLEG (2019) Ethics Guidelines for Trustworthy AI. Retrieved from High-Level Expert Group on Artificial Intelligence
Anderson MR (2017) After 75 Years, Isaac Asimov’s Three Laws of Robotics Need Updating. The Conversation. https://theconversation.com/after-75-years-isaac-asimovs-three-laws-of-robotics-need-updating-74501
Asimov I (2004 ). I, Robot (Vol. 1). Spectra
BAAI (2019) The Beijing AI Principles. Beijing Academy of Artificial Intelligence
Baba M (1989) Organizational culture: revisiting the small-society metaphor. Anthropol Work Rev 10(3):7–10
Balkin J (2017) The three laws of robotics in the age of big data. Ohio State Law J 78:27
Basso KH (1996) Wisdom sits in places: landscape and language among the western apache. UNM Press, Albuquerque
Benjamin R (2019) Race after technology: abolitionist tools for the New Jim Code. John Wiley & Sons, Hoboken
Bennett J (2010) Vibrant matter: a political ecology of things. Duke University Press, Durham
Burke K (1966) Language as symbolic action: essays on life, literature, and method. Univ of California Press, Berkeley
Chakravartty P, Kuo R, Grubbs V, McIlwain C (2018) #CommunicationSoWhite. J Commun 68(2):254–266
Chia RG (2019) Despite reportedly tracking and ranking its own citizens, China Now Says AI Research Should Respect People’s privacy. Business insider. https://www.businessinsider.my/despite-reportedly-tracking-and-ranking-its-own-citizens-china-now-says-ai-research-should-respect-peoples-privacy
Coeckelbergh M (2010) Humans, animals, and robots: a phenomenological approach to human-robot relations. Int J Social Robot 3(2):197–204. https://doi.org/10.1007/s12369-010-0075-6
Corrigan L (2019) Decolonizing Philosophy and Rhetoric: dispatches from the Undercommons. Philosophy Rhetoric 52(2):163. https://doi.org/10.5325/philrhet.52.2.0163
Crenshaw K, Gotanda N, Peller G, Thomas K (eds) (1996) Critical race theory: the key writings that formed the movement. The New Press
Davis D (2010) Inessential solidarity: rhetoric and foreigner relations. University of Pittsburgh Press, Pittsburgh
Dean J (2019) Google AI blog: looking back at Google’s research efforts in 2018. Google Blog. https://ai.googleblog.com/2019/01/looking-back-at-googles-research.html
Delgado R (1989) Storytelling for oppositionists and others: a plea for narrative. Mich Law Rev 87(8):2411. https://doi.org/10.2307/1289308
Dvorsky G (2014) Why Asimov’s Three Laws of Robotics Can’t Protect Us. Gizmodo. https://io9.gizmodo.com/why-asimovs-three-laws-of-robotics-cant-protect-us-1553665410
Floridi L, Cowls J (2019) A unified framework of five principles for AI in society. Harvard Data Science Review
Flower L (2008) Community literacy and the rhetoric of public engagement. SIU Press, Carbondale
George SK (2017) Total enframing: global south and techno-developmental orthodoxy. AI Soc 32:191–199
Gillespie T (2014) The relevance of algorithms. In: Gillespie T, Boczkowski P, Foot K (eds.) Media Technologies: Essays on Communication, Materiality, and Society, 167
Hagendorff T (2020) The ethics of AI ethics: An evaluation of guidelines. Minds and Machines, 30(1):99-120
IEEE (2016) Ethically aligned design. IEEE Standards v1
Jobin A, Ienca M, Vayena E (2019) The global landscape of AI ethics guidelines. Nat Machine Intell 1(9):389–399
Johnson AE (2012) The forgotten prophet: Bishop Henry McNeal Turner and the African American prophetic tradition. Lexington Books
Jonsen AR, Toulmin S (1988) The abuse of casuistry: a history of moral reasoning. University of California Press, Berkeley
Knight W (2019) Why does Beijing suddenly care about AI ethics? MIT Technology Review. https://www.technologyreview.com/2019/05/31/135129/why-does-china-suddenly-care-about-ai-ethics-and-privacy/
Mager A (2012) Algorithmic ideology: how capitalist society shapes search engines. Inform, Commun Soc 15(5):769–787
McGee MC (1980) The “Ideograph”: a link between rhetoric and ideology. Q J Speech 66(1):1–16
Noble SU (2018) Algorithms of oppression: how search engines reinforce racism. New York University Press, New York
Penman W (2018) A field-based rhetorical critique of ethical accountability. Q J Speech 104(3):307–328
Pichai S (2018) AI at Google: our principles. Google blog. https://www.blog.google/technology/ai/ai-principles/
Proyas A (2004) I, Robot [action, crime, drama, sci-fi, thriller]. Twentieth Century Fox, Mediastream Vierte Film GmbH & Co. Vermarktungs KG, Davis Entertainment. IMDb
Ratcliffe K (2005) Rhetorical listening: identification, gender, whiteness. SIU Press
Responsible AI Practices (2018) from Google AI website: https://ai.google/responsibilities/responsible-ai-practices/. Accessed 11 July 2019
Rieder B (2012) What is in PageRank? A historical and conceptual investigation of a recursive status index. Computational Culture (2)
Roberts-Miller P (2007) Deliberate conflict: argument, political theory, and composition classes. Southern Illinois University Press, Carbondale
Schiappa E (2012) Defining marriage in California: an analysis of public and technical argument. Argum Advocacy 48(4):216–230
Schwartzman HB (1993) Ethnography in organizations. Sage 14(4):614
Singer PW (2009) Wired for war: the robotics revolution and conflict in the 21st Century. Penguin
Steiner G (2010) Anthropocentrism and Its discontents: the moral status of animals in the history of western philosophy. University of Pittsburgh Press, Pittsburgh
Walker K (2018) Google AI Principles Updates, Six Months in. Google Blog. https://www.blog.google/technology/ai/google-ai-principles-updates-six-months/
Wanzer DA (2012) Delinking rhetoric, or revisiting McGee’s fragmentation thesis through decoloniality. Rhetoric and Public Affairs 15(4):647–657
Woolgar S, Latour B (1986) Laboratory life: the construction of scientific facts. Princeton University Press
Young IM (1996) Communication and the other: beyond deliberative democracy. In: Benhabib S (ed.), Democracy and difference: contesting the boundaries of the political, 120–135
Thanks to Lacey Davidson, Kristopher M. Torres, and Mary Glavan for providing us with helpful feedback. Thanks to the Living with AI Fall 2018 seminar for initial feedback and ideas for the direction of this paper. Thanks to Michael Hemenway for pointing us to recently published comparisons of AI frameworks.
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The original online version of this article was revised: The error in the affiliation of the co-author “Will Penman” is corrected.
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Torres, E., Penman, W. An emerging AI mainstream: deepening our comparisons of AI frameworks through rhetorical analysis. AI & Soc 36, 597–608 (2021). https://doi.org/10.1007/s00146-020-01073-0