logo
ResearchBunny Logo
A synthesis of Kantian ethics and Rousseauvian General Will in justifying the moral ground of political laws

Political Science

A synthesis of Kantian ethics and Rousseauvian General Will in justifying the moral ground of political laws

S. Lin

Explore the intricate dance between autonomy and authority in political philosophy with insights from Kant and Rousseau. Shuyang Lin delves into the legitimacy of political laws through categorical imperatives and the General Will, questioning the boundaries of authority in contentious issues and suggesting improvements to democratic processes.

00:00
00:00
~3 min • Beginner • English
Abstract
This article explores the Kantian and Rousseauvian solutions to the conflict between autonomy and authority. First, I discuss how the categorical imperatives (CI) are the supreme source of the legitimate authority of a limited number of political laws. By extending the synthetic a priori nature of the CI, I demonstrate how Rousseau's General Will (GW) can justify political laws in a broader sense. I also refer to the theory of H.L.A. Hart and John Rawls to show that all political laws are binding if they are within the limits of injustice and have some moral foundation. I discussed the limits of authority of on debatable laws such as banning abortion. I analyzed the possibility of GW by using Condorcet's theorem. I conclude that GW cannot fully justify political laws based on majoritarian direct democracy, owing to problematic assumptions, although it may be an improvement to the current legislative procedure of the U.S.
Publisher
Humanities and Social Sciences Communications
Published On
May 09, 2024
Authors
Shuyang Lin
Tags
autonomy
authority
categorical imperatives
General Will
political laws
democracy
legitimacy
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny