УДК 4.008
REVIEW OF GULSON, KALERVO N., SAM SELLAR, AND P. TAYLOR WEBB «ALGORITHMS OF EDUCATION: HOW DATAFICATION AND ARTIFICIAL INTELLIGENCE SHAPE POLICY» (U OF MINNESOTA PRESS, 2022)
Vladimir I. Kirko1
1 Krasnoyarsk State Pedagogical University named after V.P. Astafieva.
orcid.org/0000-0002-5638-7940, director.nifti@mail.ru
Abstract. A review of the main ideas of the book by three co-authors K.N. Galson, S. Sellar, P.T. Webb “Algorithms for education: how datafication and artificial intelligence are shaping policy”. The main ideas of the book lie in the space of discussing the impact of artificial intelligence on education. Using a large amount of factual and conceptual material, the authors prove that we live in a long-established and developed cybernetic capitalism, a simple criticism of which will not have the desired effects. The use of AI in education management is a fait accompli. It is necessary not to criticize AI, but to recognize that the management of education is carried out in a real synthesis of human and machine management, which makes no sense to separate. It also makes no sense to criticize them separately from each other. Without reducing the intensity of the critical analysis of the use of AI in education management, the authors propose to proceed from synthetic management, which unites machines and people into inextricable networks. This approach seems to them the most realistic and it is on it that sociological studies of AI in education management should be based.
Keywords: artificial intelligence, education, synthetic governance
Для цитирования: Кирко, В.И. Рецензия на книгу К. Н. Галсона, С. Селлара, П. Т. Уэбба «Алгоритмы образования: как датафикация и искусственный интеллект формируют политику» (минессота пресс, 2022) / В.И. Кирко // Социология искусственного интеллекта. – 2022. – Т. 3. – № 2. – С. 34-43.– EDN: CDDGQX
References
1. Boden, M. A. AI: Its nature and future. Oxford University Press, 2016.
2. Bridle J. New dark age: Technology and the end of the future. Verso, 2018.
3. Campalo A., Sanfilippo M., Whittaker M., Crawford K. AI Now 2017 Report. AI Now, 2017.
4. Deleuze G. Negotiations: 1972-1990, trans. Martin Joughin. Columbia University Press, 1995.
5. Deleuze G., Guattari F. Anti-Oedipus. University of Minnesota Press, 1983.
6. Galloway A. R., Thacker E. The exploit: A theory of networks. University of Minnesota Press, 2007.
7. Gulson, Kalervo N., Sam Sellar, and P. Taylor Webb. Synthetic governance: on the impossibility of taming artificial intelligence in education. In: https://www.oneducation.net/no-12_december-2021/synthetic-governance-on-the-impossibility-of-taming-artificial-intelligence-in-education.
8. Gulson K. N., Sellar S., Webb P. T. Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy. U of Minnesota Press, 2022. 200 p.
9. Russell S., Norvig P. Artificial intelligence: A modern approach (3rd ed.). Pearson Education Limited, 2016.
10. Sadowski J. Too smart: How digital capitalism is extracting data, controlling our lives, and taking over the world. The MIT Press, 2020.
11. Winner L. Technologies as forms of life. In R. S. Cohen & M. W. Wartofsky (Eds.), Epistemology, methodology, and the social sciences (pp. 249-264). Springer, 1983.
12. Walsh T. It’s Alive! Artificial Intelligence from the Logic Piano to Killer Robots. La Trobe University Pressб 2017.
13. Zuboff S. The age of surveillance capitalism: The fight for human future at the new frontier of power. Profile Books, 2019.