Ecology of Artificial Intelligence. Media, Education and Health

The ecology of Artificial Intelligence could be an interdisciplinary field of study that takes as its object the expressive forms of human culture, starting from its systemic dimension. According to this approach, as in the study of ‘old and new’ media, AI could also be conceived as an environment capable of influencing human perception and knowledge, emotions and values, a space in which individual and social experiences can take place. The following reflection attempts to reflect on a rich and complex topic from a historical and scientific point of view: that of Artificial Intelligence. Specifically, the characteristics and role of AI in contemporary society will be considered, as well as the implications and links of this new technology, capable of imitating human intelligence, on media, education and health. Will what we call (perhaps erroneously) AI become our cognitive/communicative and social collaboration environment?

Andrejevic, M., & Selwyn, N. (2020). Facial recognition technology in schools: Critical questions and concerns. Learning, Media and Technology, 45(2), 115-128.

Bechmann, A., & Bowker, G. C. (2019). Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media. Big Data & Society, 6(1), 1-11.

Beer, D. (2017). The social power of algorithms. Information, Communication & Society, 20(1), 1-13.

Belfield, H. (2020). Activism by the AI community: Analyzing recent achievements and future prospects. In Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (pp. 15-21).

Berman, B. (1989). The computer metaphor: Bureaucratizing the mind. Science as Culture, 1(7), 7-42.

Berman, B. (1992). Artificial intelligence and the ideology of capitalist reconstruction. AI & Society, 6(2), 103-114.

Beverungen, A. (2019). Algorithmic trading, artificial intelligence and the politics of cognition. In A. Sudmann (Ed.), The democratization of artificial intelligence: Net politics in the era of learning algorithms (pp. 77-93). Bielefeld, Germany: transcript Verlag.

Bissell, D., Birtchnell, T., Elliott, A., & Hsu, E. L. (2020). Autonomous automobiles: The social impacts of driverless vehicles. Current Sociology, 68(1), 116-134.

Bloomfield, B. P. (1987). The culture of artificial intelligence. In B. P. Bloomfield (Ed.), The question of artificial intelligence: Philosophical and sociological perspectives (pp. 59-105). New York, NY: Croom Helm.

Bloomfield, B. P. (1988). Expert systems and human knowledge: A view from the sociology of science. AI & Society, 2(1), 17-29.

Bourdieu, P. (1975). The specificity of the scientific field and the social conditions of the progress of reason. Social Science Information, 14(6), 19-47.

Boyd, R., & Holton, R. J. (2017). Technology, innovation, employment and power: Does robotics and artificial intelligence really mean social transformation? Journal of Sociology, 54(3), 331-345.

Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. Cambridge, MA: The MIT Press.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: W. W. Norton & Company.

Bucher, T. (2012). Want to be on the top? Algorithmic power and the threat of invisibility on Facebook. New Media & Society, 14(7), 1164-1180.

Bucher, T. (2018). If... Then: Algorithmic power and politics. Oxford, UK: Oxford University Press.

Buoncompagni, G. (2018a). L’uomo digitale nella cultura mediale: una riflessione socio-educativa (The digital man in the media culture: A socio-educational reflection). Sociologia della Comunicazione (Sociology of Communication), 55, 87-103.

Buoncompagni, G. (2018b). Towards more open information: Digital media as moral, civic, and multicultural environments. Tafter Journal, 101, 1-9.

Buoncompagni, G. (2020). The “spirits” of terrorism and (digital) insecurity in the global pandemic era. International Journal of Law and Public Administration, 3(2), 36-43.

Buoncompagni, G. (2023). Meta-education. In The Blackwell encyclopedia of sociology (pp. 1-3).

Cave, S., Dihal, K., & Dillon, S. (Eds.). (2020). AI narratives: A history of imaginative thinking about intelligent machines. Oxford, UK: Oxford University Press.

Churcher, P. R. (1991). The impact of artificial intelligence on leisure. AI & Society, 5(2), 147-155.

Clark, C. M. A., & Gevorkyan, A. V. (2020). Artificial intelligence and human flourishing. American Journal of Economics and Sociology, 79(4), 1307-1344.

Collins, H. M. (1990). Artificial experts: Social knowledge and intelligent machines. Cambridge, MA: The MIT Press.

Collins, H. M. (2018). Artificial intelligence: Against humanity’s surrender to computers. Cambridge: Polity Press.

Crogan, P. (2019). Visions of swarming robots: Artificial intelligence and stupidity in the military-industrial projection of the future of warfare. In T. Heffernan (Ed.), Cyborg futures (pp. 89-112). Cham, Switzerland: Springer International Publishing.

Dewan, M. A. A., Murshed, M., & Lin, F. (2019). Engagement detection in online learning: A review. Smart Learning Environments, 6(1), 1-20.

Elliott, A. (2019a). Automated mobilities: From weaponized drones to killer bots. Journal of Sociology, 55(1), 20-36.

Elliott, A. (2019b). The culture of AI: Everyday life and the digital revolution. Abingdon, UK: Routledge.

Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. New York, NY: St Martin’s Press.

Eynon, R., & Young, E. (2021). Methodology, legend, and rhetoric: The constructions of AI by academia, industry, and policy groups for lifelong learning. Science, Technology, & Human Values, 46(1), 166-191.

Fleck, J. (1987). Development and establishment of artificial intelligence. In B. P. Bloomfield (Ed.), The question of artificial intelligence: Philosophical and sociological perspectives (pp. 106-164). New York, NY: Croom Helm.

Forsythe, D. E. (1993). The construction of work in artificial intelligence. Science, Technology, & Human Values, 18(4), 460-479.

Frey, C. B., & Osborne, M. (2013). The future of employment: How susceptible are jobs to computerisation? Working Paper, the Oxford Martin Programme on Technology and Employment. Retrieved from https://www.oxfordmartin.ox.ac.uk/downloads/academic/future-of-employment.pdf

Gurstein, M. (1985). Social impacts of selected artificial intelligence applications: The Canadian context. Futures, 17(6), 652-671.

Ito, S., Ito, S., & Suteu, I. (2020). AI mobility solutions for an active aging society. Introducing aesthetic affordances in the design of smart wheelchairs. In H. Degen and L. Reinerman-Jones (Eds.), HCII 2020: Artificial intelligence in HCI (pp. 339-352). Cham, Switzerland: Springer.

Kaplan, J. (2016). Artificial intelligence: What everyone needs to know. Oxford, UK: Oxford University Press.

Lardieri, A. (2018). Amazon employees protesting sale of facial recognition software. U.S. News. Retrieved from https://www.usnews.com/news/politics/articles/2018-10-18/amazon-employees-protesting-sale-of-facial-recognition-software

Lee, F., & Larsen, L. B. (2019). How should we theorize algorithms? Five ideal types in analyzing algorithmic normativities. Big Data & Society, 6(2), 1-6.

MacKenzie, D. (2017). A material political economy: Automated Trading Desk and price prediction in high-frequency trading. Social Studies of Science, 47(2), 172-194.

MacKenzie, D. (2018a). Material signals: A historical sociology of high-frequency trading. American Journal of Sociology, 123(6), 1635-1683.

MacKenzie, D. (2018b). ‘Making’, ‘taking’ and the material political economy of algorithmic trading. Economy and Society, 47(4), 501-523.

MacKenzie, D. (2019). How algorithms interact: Goffman’s ‘interaction order’ in automated trading. Theory, Culture & Society, 36(2), 39-59.

Marres, N. (2020a). Co-existence or displacement: Do street trials of intelligent vehicles test society? The British Journal of Sociology, 71(3), 537-555.

Marres, N. (2020b). What if nothing happens? Street trials of intelligent cars as experiments in participation. In S. Maassen, S. Dickel, and C. Schneider (Eds.), TechnoScienceSociety: Technological reconfigurations of science and society (pp. 111-130). Nijmegen, The Netherlands: Springer/Kluwer.

Maturo, A., & Conrad, P. (2009). The medicalization of life, Salute e Società. Milan: FrancoAngeli.

McClain, N. (2018). The horizons of technological control: Automated surveillance in the New York subway. Information, Communication & Society, 21(1), 46-62.

McClure, P. K. (2018). “You’re fired,” says the robot: The rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, 36(2), 139-156.

McStay, A. (2018). Emotional AI: The rise of empathic media. London, UK: SAGE.

Monahan, T., & Torres, R. D. (Eds.). (2010). Schools under surveillance: Cultures of control in public education. New Brunswick, NJ: Rutgers University Press.

Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York, NY: New York University Press.

Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453.

Parisier, E. (2012). The filter bubble: What the Internet is hiding from you. New York: Penguin Group.

Pettersen, L. (2019). Why artificial intelligence will not outsmart complex knowledge work. Work, Employment and Society, 33(6), 1058-1067.

Sap, M., Card, D., Gabriel, S., Choi, Y., & Smith, N. A. (2019). The risk of racial bias in hate speech detection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 1668-1678).

Schwartz, R. D. (1989). Artificial intelligence as a sociological phenomenon. Canadian Journal of Sociology, 14(2), 179-202.

Seaver, N. (2019). Knowing algorithms. In J. Vertesi and D. Ribes (Eds.), DigitalSTS: A field guide for science & technology studies (pp. 412-422). Princeton, NJ: Princeton University Press.

Spencer, D. (2017). Work in and beyond the second machine age: The politics of production and digital technologies. Work, Employment and Society, 31(1), 142-152.

Stilgoe, J. (2018). Machine learning, social learning and the governance of self-driving cars. Social Studies of Science, 48(1), 25-56.

Taylor, E. (2016). Lights, camera, redaction... Police body-worn cameras: Autonomy, discretion and accountability. Surveillance & Society, 14(1), 128-132.

Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. London: Allen Lane.