REPOZYTORIUM UNIWERSYTETU
W BIAŁYMSTOKU
UwB

Proszę używać tego identyfikatora do cytowań lub wstaw link do tej pozycji: http://hdl.handle.net/11320/15061
Pełny rekord metadanych
Pole DCWartośćJęzyk
dc.contributor.authorSkuza, Sebastian-
dc.contributor.authorLizak, Robert-
dc.date.accessioned2023-06-20T07:59:39Z-
dc.date.available2023-06-20T07:59:39Z-
dc.date.issued2023-
dc.identifier.citationBiałostockie Studia Prawnicze, Vol. 28 nr 2, 2023, s. 175-195pl
dc.identifier.issn1689-7404-
dc.identifier.urihttp://hdl.handle.net/11320/15061-
dc.description.abstractIn this article, the authors assesses the scope of the use of artificial intelligence technology in the management of the US federal public finance system in the years 2019–2022, with particular emphasis on public finance control. This assessment is indispensable in answering the question of whether artificial intelligence, which is a relatively new technology, is used in the area in question, and to what extent, and most importantly whether, it enables the US federal administration to control public finances. In order to answer this question, a holistic review was carried out of American law standards from the last decade and government documents that directly regulate the issue of artificial intelligence, including the definition of artificial intelligence adopted for the first time in American law, but also a number of other hard law and soft law standards. Law files that are directly or indirectly related to AI. The above allowed the determination of the scope of the political and legal approach to artificial intelligence in the United States of America, as well as the extraction of many conclusions about the use of artificial intelligence and the challenges facing its development. In the opinion of the author, the added value of this publication is the preliminary answer to the question of whether artificial intelligence can change the paradigm of the essence of managing the public finance system.pl
dc.language.isoplpl
dc.publisherFaculty of Law, University of Białystok; Temida 2pl
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 4.0pl
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/pl
dc.subjectartificial intelligencepl
dc.subjectcompliancepl
dc.subjectcorporate governancepl
dc.subjectpublic financespl
dc.subjectpublic lawpl
dc.subjectpublic managementpl
dc.subjectsztuczna inteligencjapl
dc.subjectzgodnośćpl
dc.subjectład korporacyjnypl
dc.subjectfinanse publicznepl
dc.subjectprawo publicznepl
dc.subjectzarządzanie publicznepl
dc.titleSztuczna inteligencja umożliwia kontrolę finansów publicznych – przegląd inicjatyw amerykańskiego rządu federalnegopl
dc.title.alternativeAI Enables the Control of Public Finances: US Federal Government Initiativespl
dc.typeArticlepl
dc.rights.holder© 2023 Sebastian Skuza, Robert Lizak published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.pl
dc.identifier.doi10.15290/bsp.2023.28.02.11-
dc.description.EmailSebastian Skuza: sskuza@wz.uw.edu.plpl
dc.description.EmailRobert Lizak: robertpol25@wp.plpl
dc.description.AffiliationSebastian Skuza - Uniwersytet Warszawski, Polskapl
dc.description.AffiliationRobert Lizak - Polska Akademia Nauk, Polskapl
dc.description.referencesAbramoff M.D., Lavin P.T., Birch M., Shah N., Folk J.C., Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care office, „Nature Partner Journal Digital Medicine”, 28 sierpnia 2018, nr 38.pl
dc.description.referencesAnderson J.M., Kalra N., Stanley K.D., Sorensen P., Samaras C., Oluwatola T.A., Autonomous Vehicle Technology: A Guide for Policymakers, Santa Monica, California, RAND Corporation, 2016.pl
dc.description.referencesBredeche N., Haasdijk E., Prieto A., Embodied Evolution in Collective Robotics: A Review, Frontiers in Robotics and AI, vol. 5, art. 12, 22 February 2018.pl
dc.description.referencesDesai R.J., Matheny M. E., Johnson K., Marsolo K., Curtis L.H., Nelson J.C., Heagerty P.J., Maro J., Brown J., Toh S., Nguyen M., Ball R., Pan G.D., Wang S.V., Gagne J.J., Schneeweiss S., Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a casual analysis framework, „Nature” 2021, nr 170.pl
dc.description.referencesDowling M.K., Terry A.T., Kirilichin N.L., Lee J.S., Blanchard J.C., United States Congressional COVID-19 Legislation: Recent Laws and Future Topics, “West J Emerg Med.” 2020, September 21(5).pl
dc.description.referencesDuch W., Architektury kognitywne, czyli jak zbudować sztuczny umysł, (w:) R. Tadeusiewicz (red.) Neurocybernetyka teoretyczna, Warszawa 2009.pl
dc.description.referencesEichengreen B., Exorbitant privilege. The Rise and the Fall of the Dollar and the Future of the International Monetary System, New York 2011.pl
dc.description.referencesEngstrom D.F., Ho D.E., Sharkey C.M., Cuéllar M.-F., Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, Report Submitted to the Administrative Conference of the United States, luty 2020.pl
dc.description.referencesFlannery M.J., Insights into the SEC’s Risk Assessment Programs, Global Association of Risk Professionals 16th Annual Risk Assesment Convention, New York, 25 lutego 2015.pl
dc.description.referencesFlannery M.J., Wyatt M., Butler T.J., McKessy S., Testimony on Continued Oversight of the SEC’s Offices and Divisions, The U.S. House of Representatives Committee on Financial Services Subcommittee on Capital Markets and Government Sponsored Enterprises, Washington, D.C., 21 kwietnia 2016.pl
dc.description.referencesGeithner T., Treasury Order 136–01, Bureau of the Fiscal Service, U.S. Department of the Treasury, https://home.treasury.gov/about/general-information/orders-and-directives/treasury-order-136–01.pl
dc.description.referencesGribben T., Strategic Plan Fiscal Year 2022–2026, Bureau of the Fiscal Service.pl
dc.description.referencesHalperin J.-L., Law in Books and Law in Action: The Problem of Legal Change, „Maine Law Review” 2011, vol. 64, nr 45.pl
dc.description.referencesHarwell D., Defense Department Pledges Billions Toward Artificial Intelligence Research, „Washington Post”, 7 września 2018.pl
dc.description.referencesHołda A., Kutera M., Surdykowska S.T., Oszustwa księgowe. Teoria i praktyka, Warszawa 2006.pl
dc.description.referencesJackson C.W., Bajki w świecie biznesu. Mroczna prawda o fałszowaniu sprawozdań finansowych, Wydawnictwo Naukowe PWN 2008.pl
dc.description.referencesJohnson R.H., Periods of Peril: The Window of Vulnerability and Other Myths, „Foreign Affairs” 1983, vol. 61, nr 4 (Spring).pl
dc.description.referencesKrasuski A., Status prawny sztucznego agenta. Podstawy prawne zastosowania sztucznej inteligencji, Monografie Prawnicze 2020.pl
dc.description.referencesKutz G., Individual Disaster Assistance Programs: Framework for Fraud Prevention, Detection, and Prosecution, Testimony Before U.S. Committee on Homeland Security, 12 lipca 2006.pl
dc.description.referencesLévy P., L’intelligence collective. Pour une anthropologie du cyberespace, La Découverte, Paris 1994.pl
dc.description.referencesMoore M.H., Creating Public Value: Strategic Management in Government, „Harvard University Press”, 1 stycznia 1995.pl
dc.description.referencesNewell A., The Knowledge Level, „Artificial Intelligence” 1982, nr 18.pl
dc.description.referencesNwana H.S., Software Agents: An Overview, „Knowledge Engineering Review” 1996, vol. 11, nr 3, October/November.pl
dc.description.referencesPaprzycki M., Agenci programowi jako metodologia tworzenia oprogramowania, „e-Informatica Software Engineering Journal”, https://www.e-informatyka.pl/attach/Agenci_programowi_jako_metodologia_tworzenia_oprogramowania/422.pdf.pl
dc.description.referencesPound R., Law in Books and Law in Action, „American Law Review” 1910, vol. 44, nr 12.pl
dc.description.referencesRai A.K., Machine Learning at the Patent Office: Lessons for Patents and Administrative Law, „Iowa Law Review” 2019, vol. 104, nr 2617.pl
dc.description.referencesRejmaniak R., Bias in Artifi cial Intelligence Systems, „Białostockie Studia Prawnicze” 2021, z. 26, nr 3.pl
dc.description.referencesRuśkowski E., On Priority Research Problems in the Scope of Public Finance Control in Poland, „Białostockie Studia Prawnicze” 2021, z. 26, nr 4.pl
dc.description.referencesSchmelzer R., AI Is Keeping Watch Over Government Spending, „Forbes”, 30 października 2021.pl
dc.description.referencesSelfridge O.G., Pandemonium: A Paradigm for Learning, (w:) D.V. Blake, A.M. Uttley (red.), Proceedings of the Symposium on Mechanisation of Thought Processes, Her Majesty’s Stationary Office, London 1959.pl
dc.description.referencesSkuza S., Lizak R., Propozycje ograniczenia nadużyć w VAT z wykorzystaniem rozwiązań Business Intelligence. Autorskie propozycje wniosków de lege ferenda, (w:) D. Gajewski (red.), Międzynarodowe unikanie opodatkowania. Wybrane zagadnienia, Warszawa 2017.pl
dc.description.referencesSzczepanowska-Kozłowska K., 6.2. Licencja otwarta, (w:) E. Nowińska, U. Promińska, K. Szczepanowska-Kozłowska, Prawa własności przemysłowej. Przedmiot, treść i naruszenie, Warszawa 2021.pl
dc.description.referencesSzostek D., Is the Traditional Method of Regulation (the Legislative Act) Sufficient to Regulate Artificial Intelligence, or Should It Also Be Regulated by an Algorithmic Code?, „Białostockie Studia Prawnicze 2021”, z. 26, nr 3.pl
dc.description.referencesTadeusiewicz R., Modele elementów układu nerwowego w postaci sztucznych sieci neuronowych, (w:) R. Tadeusiewicz (red.), Neurocybernetyka teoretyczna, Warszawa 2009.pl
dc.description.referencesVassiliadis P., A Survey of Exract-Transform-Load Technology, „International Journal of Data Warehousing and Mining” 2009, nr 5(3), lipiec–sierpień.pl
dc.description.referencesWhite M.J., Remarks at the International Institute for Securities Market Growth and Development, Securities and Exchange Commision, U.S. Securities and Exchange Commission, 8 kwietnia 2016.pl
dc.identifier.eissn2719–9452-
dc.description.volume28pl
dc.description.number2pl
dc.description.firstpage175pl
dc.description.lastpage195pl
dc.identifier.citation2Białostockie Studia Prawniczepl
dc.identifier.orcid0000-0002-9357-6791-
dc.identifier.orcid0000-0001-7980-2409-
Występuje w kolekcji(ach):Białostockie Studia Prawnicze, 2023, Vol. 28 nr 2

Pliki w tej pozycji:
Plik Opis RozmiarFormat 
BSP_28_2_S_Skuza_R_Lizak_Sztuczna_inteligencja_umozliwia_kontrole_finansow_publicznych.pdf217,6 kBAdobe PDFOtwórz
Pokaż uproszczony widok rekordu Zobacz statystyki


Pozycja ta dostępna jest na podstawie licencji Licencja Creative Commons CCL Creative Commons