Journal of Contemporary Business Law & Technology: Cyber Law, Blockchain, and Legal Innovations

ROBUST AND RESILIENT DEEP LEARNING MODELS AGAINST DATA POISONING AND EVASION ATTACKS

Tonoy Kanti Chowdhury — 2026-02-09

Objective : This paper will focus on how deep learning models can be robust and resilient to such adversarial manipulations. Method : It gives a detailed insight into widely used poisoning and evasion attack techniques, evaluates their effect on model performance and reliability, and examines the available defense mechanisms that have been used to identify, foil, or counter these attacks. Results : The research paper also addresses the strong training strategies, anomaly identification approaches, and robust model architectures that make it more resistant to adversarial behavior. Novelty : Through the synthesis of the latest progress, the article will help in the creation of safe, trustful, and stable deep learning systems that can be used in the adversarial world with reliability.

QUALITATIVE ANALYSIS OF DIGITAL ADMINISTRATION AS AN OBSTACLE TO ACCESS TO APPLICATION-BASED PUBLIC SERVICES IN VULNERABLE GROUPS IN SIDOARJO REGENCY

Fajar Muharram — 2026-02-06

Objective: This study aims to study the role of digital administrative burden as a factor limiting vulnerable groups' access to application-based public services in Sidoarjo Regency. Method: The study uses qualitative case study methods to collect data from local governments and vulnerable community groups, analyzing the findings. Results: Digital public services in Sidoarjo Regency cause a learning burden, compliance burden, and administrative psychological burden for vulnerable groups. The findings show that application-based services still do not reach every level of society equally. Novelty: This study highlights the importance of creating digital public service policies sensitive to user diversity, simplifying procedures, offering hybrid service schemes, and increasing support for vulnerable groups to prevent further marginalization in the era of digital governance.

GREEN INNOVATION STRATEGY IN PROMOTING SUSTAINABILITY: A CASE STUDY OF UD BOKOR ROTAN INDAH

Ni Putu Wedayani Antari — 2026-02-22

Objective: This study aims to analyze the implementation of green innovation strategies in promoting business sustainability at UD Bokor Rotan Indah, a trading enterprise engaged in rattan and woven handicraft production. This research is based on a decline in sales over the past two years, along with increasing market demand for environmentally friendly and sustainable products. Method: This research employs a qualitative descriptive approach, with data collected through interviews, observations, and documentation. The green innovations examined in this study include product, process, organizational, and business model innovations oriented toward resource efficiency and environmental impact reduction. Results: The findings indicate that the implementation of green innovation strategies enhances business competitiveness, expands market opportunities, and supports the economic and environmental sustainability of UD Bokor Rotan Indah. Novelty: The green innovations examined in this study include product, process, organizational, and business model innovations oriented toward resource efficiency and environmental impact reduction.

DIGITAL TRANSFORMATION-BASED PROJECT MANAGEMENT INNOVATION IN THE HOSPITALITY INDUSTRY: A CASE STUDY OF BINTANG BALI RESORT

Risa Pratini — 2026-02-23

Objective: This study aims to analyze the implementation of digital transformation-based project management innovations at Bintang Bali Resort to improve operational efficiency and organizational performance. The innovations implemented include the integration of Channel Manager with Property Management System (PMS) in revenue management and the implementation of Human Resource Information System (HRIS) in human resource management. The main problem before the implementation of the innovation was the manual process that caused a high risk of errors, delays in data processing, and low work efficiency. Method: The method used is a descriptive approach with an analysis of the implementation of organizational and business innovations. Results: The results show that system integration can improve data accuracy, operational efficiency, service quality, and support data-based decision-making. Digital transformation also contributes to increased employee productivity and company competitiveness in the hospitality industry. Novelty: This study highlights the integrated implementation of Channel Manager–PMS and HRIS within a hospitality setting as a digital transformation-based project management innovation to address operational inefficiencies and enhance organizational performance.

PROCEDURAL RULES BETWEEN THE PHILOSOPHY OF LEGISLATION AND THE REALITY OF APPLICATION: A CRITICAL ANALYTICAL STUDY OF THE BOOK “PRINCIPLES OF CRIMINAL PROCEDURE” BY DR. BARAA MUNTHER ABDUL LATIF. A REVIEW ARTICLE

Sameera Ghasi Ajel — 2026-02-06

Objective: The significance of the work lies in the fact that, unlike the majority of other works, Principles of Criminal Procedure, written by Professor Dr. Baraa Munther Kamal, boldly rethinks the criminal procedure in the light of the following obvious truth: the effectiveness of law depends on the effectiveness of the protection of constitutional rights. The author considers criminal procedure as the existential core that underpins the rule of law and explains the criminal litigation process through two key considerations: the right of the state to punish and the sacred right of the accused under the presumption of innocence. Method: In the book, the author does not simply list the relevant legal provisions as in most legal texts. Instead, he plunges into the philosophy of criminal procedure and uses the power of narration combined with analytical explanation. The study also incorporates the latest trends of the Federal Court of Cassation to bridge the gap between theory and practice. Results: The work transforms criminal procedure analysis into a practical guide rather than a text based solely on rigid legal wording. By integrating judicial trends and philosophical interpretation, the book explains procedural stages while maintaining a balance between state authority and the protection of constitutional rights of the accused. Novelty: Unlike conventional works, the book boldly rethinks traditional concepts such as detention, search, interrogation, and the nullity of procedural acts in light of international fair trial standards and the provisions of the current constitution. Consequently, the book emerges as a methodologically strong and qualitatively significant reference in contemporary criminal procedural policy.

CRIMINAL LIABILITY FOR ARTIFICIAL INTELLIGENCE CRIMES IN IRAQI LEGISLATION "A PROSPECTIVE ANALYTICAL STUDY IN LIGHT OF DIGITAL AUTONOMY"

Maher Tariq Abbas — 2026-02-28

Objective: The paper analyzes a modern judicial problem that new technologies have imposed on legal systems, ending to the conclusion that general rules of criminal liability in the Iraqi Legal System are insufficient to address crimes created by self-learning (AI) systems. Secondly, the study will examine the extent to which the provisions of Iraqi Penal Code No. 111 of 1969 have kept pace with contemporary developments i.e. Legislative Gap (Legislative lag). Method: Based on a comparative analytical methodology, this research relies on international frameworks and European Parliament resolutions. Results: The results suggest that the break between programmer and machine created by “deep learning” puts personal liability on more difficult footing. In conclusion, the study shows that it is necessary to develop a modern legislative framework in Iraq through adopting a digital liability regime. Novelty: This need for a model legal framework should act as a sufficient plea against the perception of users presumed liability and incrementally granting an electronic legal personality to autonomous systems, with necessary amendments in the Iraqi Cybercrime Draft Law.

AI WASHING AS THE NEW CORPORATE MISREPRESENTATION

Nizomiddin Kozimov — 2026-02-28

Objective: This paper discusses the emerging phenomenon of AI washing, i.e. exaggerating or misleading on corporate artificial intelligence capabilities to sound more technologically advanced than actually possible. Inspired by the past corporate misrepresentation scandals and greenwashing endeavors, this paper explores the notion of AI washing and its implication in undermining consumers’ trust towards corporations, manipulating market behavior, and raising significant ethical and legal considerations in corporate governance. Method: The study delves into the theory behind AI washing, examining its characteristics and looking at how it plays out in different jurisdictions around the world (European Union, United States and Asia-Pacific). By conducting a case study analysis and leveraging empirical insights from recent enforcement actions, such as SEC investigations and securities fraud allegations, the paper elucidates how AI washing engenders dire financial, legal, and reputational risks for corporations. Results: Right Technologies Offer Transformation Potential But Misrepresentation Undermines Market Integrity and Stakeholder Confidence According to New Study Takeaways include the widening regulatory gap between rapid technology growth per one, with only 43% of companies including AI-related risk in SEC filing while many made general claim about AI per another. Novelty: It offers extensive policy and regulatory recommendations, calling for compulsory algorithmic disclosure obligations, standardized auditing frameworks and better measurement regimes, as well as enhanced cross-border enforcement mechanisms led by multilateral institutions like the OECD and IOSCO. They underscore the urgent need for defined law addressing AI washing, transparency in corporate messaging and accountability processes to separate misconstructions from legitimate next-generation development. This research expands corporate governance theory by framing AI washing among larger conversations about corporate social responsibility, ethical technology use and stakeholder trust.