
This deposit contains a preprint version of a legal research article examining corporate criminal liability for harms caused by autonomous artificial intelligence systems under Indonesia’s Criminal Code 2023 (Law No. 1 of 2023). The paper proposes a doctrinal reconstruction of culpa lata (gross negligence) as a normative basis for attributing criminal responsibility to corporate controllers through a model of “Algorithmic Managerial Negligence”. Rather than focusing on unpredictable machine outputs, the analysis reorients fault assessment toward ex-ante risk governance, professional standards, and realizable risk theory. Methodologically, the study employs normative legal research with a conceptual and statutory approach, engaging comparative insights from global AI liability discourse while remaining anchored in Indonesian criminal law principles, including the legality principle and fair trial guarantees. Status: This manuscript is a preprint / working paper and has not yet undergone peer review. A revised version may be submitted to an academic journal. Version note: This version is made available for scholarly discussion and citation. Subsequent revisions may differ.
Criminal Evidence, Artificial Intelligence, Gross Negligence, 2023 Criminal Code, Corporate Liability
Criminal Evidence, Artificial Intelligence, Gross Negligence, 2023 Criminal Code, Corporate Liability
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
