人工智能时代，需要怎样的“好制度”？

Group 1 - The article discusses the evolution of economic thought regarding "good institutions," highlighting the shift from Keynesianism to neoliberalism and the implications of this shift on the understanding of capitalism and alternative models like the "Chinese model" [2][4][5] - The 2024 Nobel Prize in Economics was awarded to three American new institutional economists for their research on how institutions form and affect economic prosperity, sparking widespread debate in the domestic academic community [4][2] - The concept of "good institutions" is simplified to "efficient institutions," with historical perspectives from Adam Smith to Marx influencing the discourse on what constitutes a good institution [4][5][6] Group 2 - The article identifies three core questions surrounding the understanding of good institutions: what they are, what goals they should pursue, and how they come into existence [6][8][9] - New institutional economists argue that good institutions should be inclusive economic and political systems, a view that may not necessarily apply to non-Western contexts like China [9][10] - The article critiques the historical narratives constructed by new institutional economists, suggesting that their emphasis on property rights as the cornerstone of economic success overlooks other significant factors [12][13][14] Group 3 - The discussion extends to the challenges posed by artificial intelligence and technological advancements, which may exacerbate issues of unemployment and income distribution, echoing Keynes's concerns [20][27][28] - The article emphasizes the need for a re-evaluation of what constitutes a good institution in light of contemporary economic challenges, particularly regarding short-term issues like employment and income inequality [29][31][34] - It concludes that understanding good institutions requires a focus on both historical context and the evolving economic landscape, advocating for reforms that address the dual concerns of unemployment and inequitable distribution [30][32][34]