Leveraging AI for sustainable accounting: Developing models for environmental impact assessment and reporting

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(6), P. 1017 - 1048

Published: June 15, 2024

The integration of Artificial Intelligence (AI) in sustainable accounting represents a transformative approach to enhancing the accuracy, efficiency, and comprehensiveness environmental impact assessment reporting. This paper explores development AI-driven models aimed at advancing practices, focusing on transparent AI technologies, particularly machine learning (ML) natural language processing (NLP), play pivotal role automating refining data collection, analysis, reporting processes. These technologies enable vast amounts heterogeneous from multiple sources, including IoT sensors, satellite imagery, corporate disclosures. By leveraging ML algorithms, organizations can identify patterns, predict trends, assess their operations with unprecedented precision. One key advantages is its ability enhance accuracy reliability. Traditional methods often suffer manual errors inconsistencies. models, however, continuously learn adapt, improving over time. For instance, predictive analytics forecast future impacts based historical data, allowing companies implement proactive measures mitigate adverse effects. Furthermore, facilitates real-time monitoring devices equipped sensors stream systems, which process analyze information instantaneously. capability crucial for timely compliance regulations. Real-time also empower make informed decisions swiftly, optimizing sustainability strategies reducing ecological footprint. Another significant contribution transparency accountability NLP algorithms interpret regulatory texts, reports, public records, ensuring that adhere standards guidelines. Additionally, automate generation comprehensive comprehensible making them accessible broader audience, stakeholders regulators. Developing robust involves several critical steps. Initially, preprocessing essential clean harmonize diverse datasets, quality input algorithms. Next, model training validation are conducted using refine capabilities. Continuous evaluation adjustment necessary maintain relevance dynamic contexts. Collaboration between experts, scientists, professionals paramount this process. Interdisciplinary teams ensure not only technically sound but aligned science principles standards. collaboration fosters innovation, leading more sophisticated tools adoption offers numerous benefits, enhanced compliance. However, challenges such as privacy, algorithmic transparency, need substantial initial investments must be addressed. Future research should focus overcoming these obstacles exploring potential emerging deep blockchain, further revolutionize practices. holds promise transforming by Through advanced analytics, monitoring, help achieve goals, future. continuous refinement supported interdisciplinary collaboration, realizing benefits addressing complex sustainability. Keywords: Sustainable Accounting, Environmental Impact Assessment, AI, Models, Reporting.

Language: Английский

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THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND INTERNATIONAL TRADE LAWS: CHALLENGES AND OPPORTUNITIES

IIUM Law Journal, Journal Year: 2024, Volume and Issue: 32(1), P. 103 - 152

Published: May 31, 2024

Artificial Intelligence (AI) is reshaping international trade, presenting both challenges and opportunities for existing global legal frameworks. This research explores the intersection of AI trade laws, focusing on key areas such as data protection, intellectual property rights (IPR), barriers, regulatory harmonisation. The cross-border flow in activities raises concerns about privacy necessitating balance between liberalisation compliance. Moreover, emergence AI-generated assets poses novel questions regarding ownership, liability, enforcement mechanisms. Discriminatory practices barriers fueled by AI-driven automation predictive analytics threaten market access fair competition. Harmonising approaches to governance imperative promote interoperability, innovation, integration. Despite these challenges, offers significant enhance facilitation, efficiency, dispute resolution Embracing technologies can streamline supply chains, reduce transaction costs, expedite customs procedures. Additionally, mechanisms offer innovative solutions resolve disputes promptly efficiently. To address complexities, policymakers must frameworks, IPR harmonisation, foster cooperation at domestic levels. By embracing transformative potential while upholding fundamental principles fairness transparency, stakeholders build a more resilient inclusive trading system. qualitative methodology has been applied following article.

Language: Английский

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Big Data: Past, Present, and Future Insights

Published: July 26, 2024

Language: Английский

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Generative Artificial Intelligence in Productivity and Quality Conformances

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 33 - 64

Published: Jan. 31, 2025

Generative AI is truly a game-changer that can significantly improve businesses' innovative product development processes like productivity and Quality Conformances. It help redefine the boundaries of creativity offer new avenues for ideation design no one thought about before. Idea generation may seem less challenging when businesses get assistance in brainstorming conceptualizing novel concepts. Depending on market trends, customer preferences, existing data, generative generate multitude ideas. These current chapters accelerating technology initial stages development, spark inspiration push companies to explore unique cutting-edge possibilities. In addition this, aids rapid prototyping. models, visual concepts, even virtual prototypes based input criteria. This facilitate visualization enable iterate designs quickly, reducing time costs associated with physical

Language: Английский

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Balancing Innovation and Responsibility: Tackling Challenges in Generative AI for FinTech

Published: Jan. 1, 2025

Language: Английский

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Enhancing Financial Predictive Modeling with Synthetic Data Using Generative Approach

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Financial predictive modeling plays a crucial role in decision-making, risk management, and strategic planning within financial markets institutions. Ensuring the veracity accuracy of synthetic data is major challenge when it comes to developing forecasting models. Otherwise, inaccurate model predictions flawed decisions are likely result if artificial created does not look like real-world patterns. A research study has tended apply generative techniques on information determine potential for influencing models through content selection improved accuracy. This critically examines RBMs Generative Adversarial Networks (GANs) Variational Autoencoders (VAEs) create that mimics intricate behaviors datasets market volatility, price couplings, time lags perfection. Furthermore, this introduces use Kullback-Leibler Divergence (KL-Divergence) as measure evaluate how distant from real data. The operative nature KL-Divergence allows one ascertain well can emulate true underpinning distribution actual finance Results indicate Real Fake achieved skewed peaking at 25 with density coverage fluctuating − 0.50 1.25 using Python software. results reveal integration generated reporting by R.B.M. other into training substantially improve performance, even under conditions tend flip-flop or show rarity. Posted literature-On future dealing between advanced reinforcement learning derive finest possible pools adaptability forecasting.

Language: Английский

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Harnessing Nuclear Energy for India's Energy Security: Current Status, Challenges, and Future Opportunities

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105105 - 105105

Published: April 1, 2025

Language: Английский

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Regulatory Landscapes

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 118 - 137

Published: July 12, 2024

The study focused on the commercialization of basic sciences that offer immense potential to transform research into practical solutions. However, qualitative approach will be used navigate complex regulatory landscapes, which poses significant challenges in process. review from previous can act as a highlighting aspect look interdisciplinary collaboration ensuring adherence throughout methodology for has been comprised includes extraction database various sources, news, company reports, and analysis interviews get complete scenario topic. From analysis, it observed there are pervasive bodies among industries compliance use proactive strategies. implication states before implementing body is necessary adopt an have better understanding future opportunities associated sectors.

Language: Английский

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Impact of AI on Manufacturing and Quality Assurance in Medical Device and Pharmaceuticals Industry

International Journal of Innovative Technology and Exploring Engineering, Journal Year: 2024, Volume and Issue: 13(9), P. 9 - 21

Published: Aug. 26, 2024

Global health and well-being largely depend on the pharmaceutical medical device industries. Manufacturing quality assurance (QA) processes are crucial to maintaining product efficacy, safety, regulatory compliance in these sectors. Artificial intelligence (AI) integration presents ground-breaking opportunities enhance processes. This study aims systematically assess impact of AI manufacturing QA It examines benefits, challenges, ethical legal implications integrating AI. offers a thorough understanding how technology can has been successfully integrated business operations. An extensive literature analysis was carried out investigate AI's application, role, challenges both Research also conducted emerging trends, future developments, issues. Increased productivity, early detection defects, safer higher-quality goods, improved compliance, reduced costs, more flexibility scalability some advantages technologies. However, significant obstacles overcome, such as high capital data availability issues, legacy system integration, concerns about bias privacy, difficulties with lack AI-skilled workers. Case studies show utilized guarantee optimize much offer industries terms procedures. By addressing restrictions seizing novel opportunities, use transformative potential support innovation, ensure improve global outcomes.

Language: Английский

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Smart Governance among Smart Cities for Legal Consideration to International Data Migration in Cloud Using Machine Learning , Nlp and Blockchain Smart Contract

Published: Aug. 15, 2024

Legal consideration hold significant importance in the cloud migration process, encompassing contractual arrangements, data sovereignty concerns, and liability matters. Organizations need to make sure that their contracts with service providers (CSPS) cover important aspects such as ownership, usage rights, indemnification clauses. In ever-changing world of smart cities, ensuring secure, compliant, efficient across international borders has become more crucial than ever. This paper introduces a new framework combines natural language processing (NLP), blockchain tackle intricate legal issues involved moving settings. The starts by utilizing an NLP model ensure compliance protection regulations, GDPR, CCPA, DPDPA, which are specific destination jurisdiction data. After confirming verification, contract initiates transfer securely recording metadata file hash, timestamp, details on blockchain, guaranteeing transparency immutability. transfer, vendor at verifies against relevant requirements, before storing it cloud. By adopting this approach, we can validity cross-border transfers, while also promoting trust accountability among all parties city ecosystems. findings indicate potential greatly reduce risks associated sovereignty, liability, obligations when

Language: Английский

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