{"title":"人工智能与法律责任:基于风险分担的国际比例责任方法","authors":"Mohammad H. Bashayreh, F. Sibai, Amer Tabbara","doi":"10.1080/13600834.2020.1856025","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper critically examines the allocation of liability when autonomous artificial intelligence (AI) systems cause accidents. Problems of applying existing principles of legal liability in AI environment are addressed. This paper argues that the sharing of risk as a basis for proportionate liability should be a basis for a new liability regime to govern future autonomous machines. It is argued that this approach favors the reality of parties’ consent to taking the risk of unpredictable AI behavior over the technicality of existing principles of legal liability. The suggested approach also encourages transparency and responsible decisions of developers and owners of AI systems. A flowchart to clarify possible outcomes of applying the suggested approach is provided. The paper also discusses the need for harmonization of national laws and international cooperation regarding AI incidents crossing national borders to ensure predictability of legal rules governing the liability ensuing from AI applications.","PeriodicalId":44342,"journal":{"name":"Information & Communications Technology Law","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13600834.2020.1856025","citationCount":"5","resultStr":"{\"title\":\"Artificial intelligence and legal liability: towards an international approach of proportional liability based on risk sharing\",\"authors\":\"Mohammad H. Bashayreh, F. Sibai, Amer Tabbara\",\"doi\":\"10.1080/13600834.2020.1856025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This paper critically examines the allocation of liability when autonomous artificial intelligence (AI) systems cause accidents. Problems of applying existing principles of legal liability in AI environment are addressed. This paper argues that the sharing of risk as a basis for proportionate liability should be a basis for a new liability regime to govern future autonomous machines. It is argued that this approach favors the reality of parties’ consent to taking the risk of unpredictable AI behavior over the technicality of existing principles of legal liability. The suggested approach also encourages transparency and responsible decisions of developers and owners of AI systems. A flowchart to clarify possible outcomes of applying the suggested approach is provided. The paper also discusses the need for harmonization of national laws and international cooperation regarding AI incidents crossing national borders to ensure predictability of legal rules governing the liability ensuing from AI applications.\",\"PeriodicalId\":44342,\"journal\":{\"name\":\"Information & Communications Technology Law\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/13600834.2020.1856025\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information & Communications Technology Law\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/13600834.2020.1856025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"LAW\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Communications Technology Law","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13600834.2020.1856025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
Artificial intelligence and legal liability: towards an international approach of proportional liability based on risk sharing
ABSTRACT This paper critically examines the allocation of liability when autonomous artificial intelligence (AI) systems cause accidents. Problems of applying existing principles of legal liability in AI environment are addressed. This paper argues that the sharing of risk as a basis for proportionate liability should be a basis for a new liability regime to govern future autonomous machines. It is argued that this approach favors the reality of parties’ consent to taking the risk of unpredictable AI behavior over the technicality of existing principles of legal liability. The suggested approach also encourages transparency and responsible decisions of developers and owners of AI systems. A flowchart to clarify possible outcomes of applying the suggested approach is provided. The paper also discusses the need for harmonization of national laws and international cooperation regarding AI incidents crossing national borders to ensure predictability of legal rules governing the liability ensuing from AI applications.
期刊介绍:
The last decade has seen the introduction of computers and information technology at many levels of human transaction. Information technology (IT) is now used for data collation, in daily commercial transactions like transfer of funds, conclusion of contract, and complex diagnostic purposes in fields such as law, medicine and transport. The use of IT has expanded rapidly with the introduction of multimedia and the Internet. Any new technology inevitably raises a number of questions ranging from the legal to the ethical and the social. Information & Communications Technology Law covers topics such as: the implications of IT for legal processes and legal decision-making and related ethical and social issues.