Early Studies in Acquiring Evidentiary, Reusable Business Process Models for Legal Compliance

Breaux, Travis D.; Powers, Calvin

doi:10.1109/itng.2009.72

Cited by 5 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Legal compliance is one of the most important aspects of compliance planning [24]. AI systems must be designed, developed, and used following applicable laws and regulations to ensure that organizations are not criminally liable for law violations.…”

Section: Ensure Legal Compliancementioning

confidence: 99%

Analysis of the Role of Compliance Plan in AI Criminal Risk Prevention-Take AI Criminal Risk in Network Communication as Example

Mou,

Yang

2023

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

To address the criminal risks associated with artificial intelligence (AI) in network communications, such as privacy invasion, information leakage and abuse, prejudice and discrimination, and intelligent crime, it's crucial to implement robust compliance plans. These plans should ensure legal compliance by adhering to relevant laws and regulations, thus safeguarding against unlawful use of AI. Strengthening data privacy and protection is vital to prevent unauthorized access and misuse of sensitive information. Ensuring fairness and eliminating discrimination are essential to maintaining ethical AI practices and preventing biases in AI decision-making processes. Improving system transparency and interpretability is also critical; it involves making AI systems more understandable and accountable for their actions and decisions. Additionally, reinforcing security measures is necessary to defend against cyber threats and vulnerabilities, thereby reducing the probability of AI- enabled criminal activities. These comprehensive strategies are pivotal in mitigating the criminal risks of AI in network communication and promoting the responsible and ethical development of AI technology.

show abstract

Section: Ensure Legal Compliancementioning

confidence: 99%

Analysis of the Role of Compliance Plan in AI Criminal Risk Prevention-Take AI Criminal Risk in Network Communication as Example

Mou,

Yang

2023

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

show abstract

“…Breaux and Antón [6] develop a rule-based framework for modeling rights and obligations from the US Health Insurance Portability and Accountability Act (HIPAA). Breaux and Powers [7] derive business process models from the clauses in HIPAA. Ghanavati et al [16] use a combination of goal models and use cases for specifying legal requirements in the healthcare domain.…”

Section: Related Workmentioning

confidence: 99%

Model-based simulation of legal policies: framework, tool support, and validation

et al. 2016

View full text Add to dashboard Cite

Simulation of legal policies is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest, e.g., revenue. Legal policy simulation is currently implemented using a combination of spreadsheets and software code. Such a direct implementation poses a validation challenge. In particular, legal experts often lack the necessary software background to review complex spreadsheets and code. Consequently, these experts currently have no reliable means to check the correctness of simulations against the requirements envisaged by the law. A further challenge is that representative data for simulation may be unavailable, thus necessitating a data generator. A hard-coded generator is difficult to build and validate. We develop a framework for legal policy simulation that is aimed at addressing the challenges above. The framework uses models for specifying both legal policies and the probabilistic characteristics of the underlying population. We devise an automated algorithm for simulation data generation. We evaluate our framework through a case study on Luxembourg's Tax Law.

show abstract

“…Ingolfo et al [2], [19] develop a goal-oriented modeling framework for arguing about regulatory compliance. Breaux and Powers [20] specify legal requirements via business process models and use these models for compliance checking. Zeni et al [3] and Breaux [4] develop conceptual models for characterizing key abstractions in legal texts, and exploit these models for ambiguity reduction and various types of automation.…”

Section: Related Workmentioning

confidence: 99%

Model-Based Simulation of Legal Requirements: Experience from Tax Policy Simulation

Soltana

Sabetzadeh

Briand

2016

2016 IEEE 24th International Requirements Engineering Conference (RE)

View full text Add to dashboard Cite

Abstract-Using models for expressing legal requirements is now commonplace in Requirements Engineering. Models of legal requirements, on the one hand, facilitate communication between software engineers and legal experts, and on the other hand, provide a basis for systematic and automated analysis. The most prevalent application of legal requirements models is for checking the compliance of software systems with laws and regulations. In this experience paper, we explore a complementary application of legal requirements models, namely simulation. We observe that, in domains such as taxation, the same models that underlie legal compliance analysis bring important added value by enabling simulation. Concretely, this paper reports on the model-based simulation of selected legal requirements (policies) derived from Luxembourg's Income Tax Law. The simulation scenario considered in the paper is aimed at analyzing the impact of a current tax law reform proposal in Luxembourg. We describe our approach for simulation along with empirical results demonstrating the feasibility and accuracy of the approach. We further present lessons learned from the experience.

show abstract

Early Studies in Acquiring Evidentiary, Reusable Business Process Models for Legal Compliance

Abstract: Abstract

Cited by 5 publications

References 16 publications

Analysis of the Role of Compliance Plan in AI Criminal Risk Prevention-Take AI Criminal Risk in Network Communication as Example

Analysis of the Role of Compliance Plan in AI Criminal Risk Prevention-Take AI Criminal Risk in Network Communication as Example

Model-based simulation of legal policies: framework, tool support, and validation

Model-Based Simulation of Legal Requirements: Experience from Tax Policy Simulation

Contact Info

Product

Resources

About