Open Access

AI Enables the Control of Public Finances: US Federal Government Initiatives


Cite

Abramoff 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. Search in Google Scholar

Anderson 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. Search in Google Scholar

Bredeche N., Haasdijk E., Prieto A., Embodied Evolution in Collective Robotics: A Review, Frontiers in Robotics and AI, vol. 5, art. 12, 22 February 2018. Search in Google Scholar

Desai 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. Search in Google Scholar

Dowling 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). Search in Google Scholar

Duch W., Architektury kognitywne, czyli jak zbudować sztuczny umysł, (w:) R. Tadeusiewicz (red.) Neurocybernetyka teoretyczna, Warszawa 2009. Search in Google Scholar

Eichengreen B., Exorbitant privilege. The Rise and the Fall of the Dollar and the Future of the International Monetary System, New York 2011. Search in Google Scholar

Engstrom 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. Search in Google Scholar

Flannery 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. Search in Google Scholar

Flannery 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. Search in Google Scholar

Geithner 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. Search in Google Scholar

Gribben T., Strategic Plan Fiscal Year 2022–2026, Bureau of the Fiscal Service. Search in Google Scholar

Halperin J.-L., Law in Books and Law in Action: The Problem of Legal Change, „Maine Law Review” 2011, vol. 64, nr 45. Search in Google Scholar

Harwell D., Defense Department Pledges Billions Toward Artificial Intelligence Research, „Washington Post”, 7 września 2018. Search in Google Scholar

Hołda A., Kutera M., Surdykowska S.T., Oszustwa księgowe. Teoria i praktyka, Warszawa 2006. Search in Google Scholar

Jackson C.W., Bajki w świecie biznesu. Mroczna prawda o fałszowaniu sprawozdań finansowych, Wydawnictwo Naukowe PWN 2008. Search in Google Scholar

Johnson R.H., Periods of Peril: The Window of Vulnerability and Other Myths, „Foreign Affairs” 1983, vol. 61, nr 4 (Spring). Search in Google Scholar

Krasuski A., Status prawny sztucznego agenta. Podstawy prawne zastosowania sztucznej inteligencji, Monografie Prawnicze 2020. Search in Google Scholar

Kutz G., Individual Disaster Assistance Programs: Framework for Fraud Prevention, Detection, and Prosecution, Testimony Before U.S. Committee on Homeland Security, 12 lipca 2006. Search in Google Scholar

Lévy P., L’intelligence collective. Pour une anthropologie du cyberespace, La Découverte, Paris 1994. Search in Google Scholar

Moore M.H., Creating Public Value: Strategic Management in Government, „Harvard University Press”, 1 stycznia 1995. Search in Google Scholar

Newell A., The Knowledge Level, „Artificial Intelligence” 1982, nr 18. Search in Google Scholar

Nwana H.S., Software Agents: An Overview, „Knowledge Engineering Review” 1996, vol. 11, nr 3, October/November. Search in Google Scholar

Paprzycki 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. Search in Google Scholar

Pound R., Law in Books and Law in Action, „American Law Review” 1910, vol. 44, nr 12. Search in Google Scholar

Rai A.K., Machine Learning at the Patent Office: Lessons for Patents and Administrative Law, „Iowa Law Review” 2019, vol. 104, nr 2617. Search in Google Scholar

Rejmaniak R., Bias in Artificial Intelligence Systems, „Białostockie Studia Prawnicze” 2021, z. 26, nr 3. Search in Google Scholar

Ruśkowski E., On Priority Research Problems in the Scope of Public Finance Control in Poland, „Białostockie Studia Prawnicze” 2021, z. 26, nr 4. Search in Google Scholar

Schmelzer R., AI Is Keeping Watch Over Government Spending, „Forbes”, 30 października 2021. Search in Google Scholar

Selfridge 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. Search in Google Scholar

Skuza 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. Search in Google Scholar

Szczepanowska-Kozłowska K., 6.2. Licencja otwarta, (w:) E. Nowińska, U. Promińska, K. Szczepanowska-Kozłowska, Prawa własności przemysłowej. Przedmiot, treść i naruszenie, Warszawa 2021. Search in Google Scholar

Szostek 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. Search in Google Scholar

Tadeusiewicz R., Modele elementów układu nerwowego w postaci sztucznych sieci neuronowych, (w:) R. Tadeusiewicz (red.), Neurocybernetyka teoretyczna, Warszawa 2009. Search in Google Scholar

Vassiliadis P., A Survey of Exract-Transform-Load Technology, „International Journal of Data Warehousing and Mining” 2009, nr 5(3), lipiec–sierpień. Search in Google Scholar

White 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. Search in Google Scholar

eISSN:
2719-9452
Languages:
English, Polish
Publication timeframe:
4 times per year
Journal Subjects:
Law, International Law, Foreign Law, Comparative Law, other, European Law, Social Sciences, Political Science