Noam Kolt

University of Toronto

105 St George Street

Toronto, Ontario M5S 3G8

Canada

http://noamkolt.com/

SCHOLARLY PAPERS

6

DOWNLOADS

3,526

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (6)

1.

Algorithmic Black Swans

Washington University Law Review, Vol. 101, Forthcoming
Number of pages: 68 Posted: 01 Mar 2023 Last Revised: 17 Oct 2023
Noam Kolt
University of Toronto
Downloads 1,851 (15,908)
Citation 1

Abstract:

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Artificial Intelligence, Governance, Regulation, General Purpose AI Systems, ChatGPT, Misuse, Systemic Risk, Black Swans, EU AI Act, NIST AI Risk Management Framework, White House AI Bill of Rights

2.

Return on Data: Personalizing Consumer Guidance in Data Exchanges

Yale Law & Policy Review, Vol. 38, No. 1, 2019
Number of pages: 73 Posted: 08 Apr 2019 Last Revised: 26 Dec 2020
Noam Kolt
University of Toronto
Downloads 1,048 (37,143)

Abstract:

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Privacy Law, Personal Data, Consumer Protection, Personalized Law, Behavioral Economics, GDPR, CCPA

3.

Predicting Consumer Contracts

Berkeley Technology Law Journal, Vol. 37, No. 1, 2022
Number of pages: 68 Posted: 13 May 2021 Last Revised: 08 Feb 2023
Noam Kolt
University of Toronto
Downloads 495 (99,449)

Abstract:

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Artificial Intelligence, Consumer Contracts, ChatGPT, GPT-3, Language Models, Bias, Governance

4.

Populist Rhetoric, False Mirroring, and the Courts

International Journal of Constitutional Law, Vol. 18, No. 3, 2020
Number of pages: 20 Posted: 05 Feb 2021 Last Revised: 13 May 2021
Alon Harel and Noam Kolt
Hebrew University of Jerusalem - Faculty of Law and University of Toronto
Downloads 74 (541,289)

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Populism, Political Rhetoric, Democratic Representation, Judicial Populism

5.

Cosmopolitan Originalism: Revisiting the Role of International Law in Constitutional Interpretation

Melbourne University Law Review, Vol. 41, No. 1, 2017
Number of pages: 64 Posted: 05 Feb 2021
Noam Kolt
University of Toronto
Downloads 52 (646,079)

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Constitutional Interpretation, International Law, Common Law, Moderate Originalism

6.

Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

2023 Conference on Neural Information Processing Systems, Datasets and Benchmarks Track
Number of pages: 143
Stanford University, Stanford Law School, Stanford Law School, Stanford University, University of Chicago - Law School, affiliation not provided to SSRN, Stanford University - Department of Management Science & Engineering, Stanford University, Stanford University, Dartmouth College - Department of Mathematics, Stanford University, Maxime Tools, affiliation not provided to SSRN, University of California, Santa Barbara, South Texas College of Law Houston, University of Toronto - Faculty of Law, St. Thomas University - School of Law, Harvard University, Harvard Law School, Stanford Law School, Stanford University, affiliation not provided to SSRN, University of Bern - Faculty of Science, Stanford University - CodeX - Center for Legal Informatics, University of Minnesota Law School, Georgetown University Law Center, Stanford Legal Design Lab, Stanford University - Stanford Codex Center, University of Virginia School of Law, Maxime Tools, Institut Polytechnique de Paris, University of Toronto, Stanford University, Centre for Refugee Studies, Refugee Law Lab & Osgoode Hall Law School, York University, Harvard University, Casetext, Golden Gate University School of Law, Indiana University Bloomington, Harvard Law School, affiliation not provided to SSRN and Stanford University
Downloads 6

Abstract:

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legal practice, law and technology, large language models, artificial intelligence, empirical legal methods, machine learning