DEVELOPING COMPETITION LAW FOR COLLUSION BY AUTONOMOUS ARTIFICIAL AGENTS

被引:68
作者
Harrington, Joseph E., Jr. [1 ]
机构
[1] Univ Penn, Wharton Sch, Dept Business Econ & Publ Policy, Philadelphia, PA 19104 USA
关键词
ANTITRUST;
D O I
10.1093/joclec/nhy016
中图分类号
F [经济];
学科分类号
02 ;
摘要
After arguing that collusion by software programs which choose pricing rules without any human intervention is not a violation of Section 1 of the Sherman Act, the paper offers a path toward making collusion by autonomous artificial agents unlawful.
引用
收藏
页码:331 / 363
页数:33
相关论文
共 55 条
  • [1] [Anonymous], 2016, Inherent trade-offs in the fair determination of risk scores
  • [2] [Anonymous], 2015, Surveys in Operations Research and Management Science, DOI DOI 10.1016/J.SORMS.2015.03.001
  • [3] [Anonymous], 2002, Views into the Chinese Room: New Essays on Searle and Artificial Intelligence
  • [4] Baker J.B., 1993, The Antitrust Bulletin, V38, P143
  • [5] Ballard Dylan I., 2017, CPI Antitrust Chronicle, V2017, P29
  • [6] Calvano E., 2018, WORKING PAPER
  • [7] Capobianco A., 2017, Competition Policy International, V1, P2
  • [8] Deng A., 2018, ANTITRUST LAWYERS GU
  • [9] Deng A., 2017, When machines learn to collude: lessons from a recent research study on artificial intelligence
  • [10] Desai Deven, 2018, Harvard J. of Law and Tech., V31, P1