Author Page for Samuel Dahan

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Predicting Employment Notice Period with Machine Learning: Promises and Limitations

Samuel Dahan and others, ‘Predicting Employment Notice Period with Machine Learning: Promises and Limitations’ (2020) 65 McGill Law Journal / Revue de droit de McGill 711.

Number of pages: 33 Posted: 04 Jun 2020 Last Revised: 05 Aug 2021

Samuel Dahan, Jonathan Touboul, Jason Lam and Dan Sfedj

Queen's University - Faculty of Law, Brandeis University, Queen's University and Brandeis University

Downloads 207 (235,197)

Abstract:

Analytics and EU Courts: The Case of Trademark Disputes

Samuel Dahan and others, ‘Analytics and EU Courts: The Case of Trademark Disputes’ in Tamara Capeta and Iris Goldner Lang (eds), The Changing European Union: A critical view on the role of the Courts (Hart Publishing 2022). This chapter is a drawn from a report commissioned by the EUIPO.

Number of pages: 27 Posted: 18 Feb 2021 Last Revised: 24 Oct 2022

Samuel Dahan

Queen's University - Faculty of Law

Downloads 125 (358,512)

Abstract:

The Use of AI in Legal Systems: Determining Independent Contractor vs. Employee Status

Queen's University Legal Research Paper Forthcoming; Artificial Intelligence and Law (Forthcoming).

Posted: 28 Jan 2022 Last Revised: 30 Mar 2023

Maxime C. Cohen, Samuel Dahan, Warut Khern-am-nuai, Hajime Shimao and Jonathan Touboul

Desautels Faculty of Management, McGill University, Queen's University - Faculty of Law, McGill University - Desautels Faculty of Management, Santa Fe Institute and Brandeis University

Samuel Dahan

Queen's University - Faculty of Law

Cornell Law School

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Scholarly Papers (3)

Predicting Employment Notice Period with Machine Learning: Promises and Limitations

Abstract:

Analytics and EU Courts: The Case of Trademark Disputes

Abstract:

The Use of AI in Legal Systems: Determining Independent Contractor vs. Employee Status

Abstract: