Recently, environmental, social, and governance (ESG) has become an important factor in companies' sustainable development. Artificial intelligence (AI) is also a core digital technology that can create innovative, sustainable, comprehensive, and resilient environments. ESG- and AI-based digital transformation is a relevant strategy for managing business value and sustainability in corporate green management operations. Therefore, this study examines how corporate sustainability relates to ESG- and AI-based digital transformation. Furthermore, it confirms the moderating effect of green innovation on the process of increasing sustainability. To achieve the purpose of this study, 359 data points collected for hypothesis testing were used for statistical analysis and for mobile business platform users. The following conclusions are drawn. (1) ESG activities have become key variables that enable sustainable corporate growth. Companies can implement eco-friendly operating processes through ESG activities. (2) This study verifies the relationship between AI-based digital transformation and corporate sustainability and confirms that digital transformation positively affects corporate sustainability. In addition, societal problems can be identified and environmental accidents prevented through technological innovation. (3) This study does not verify the positive moderating effect of green innovation; however, it emphasizes its necessity and importance. Although green innovation improves performance only in the long term, it is a key factor for companies pursuing sustainable growth. This study reveals that ESG- and AI-based digital transformation is an important tool for promoting corporate sustainability, broadening the literature in related fields and providing insights for corporate management and government policymakers to advance corporate sustainability.
近年来，环境、社会和治理(environmental, social, and governance, ESG)已成为企业可持续发展的重要因素。人工智能(AI)也是一项核心数字技术，可以创造创新、可持续、全面和有弹性的环境。基于ESG和人工智能的数字化转型是企业绿色管理运营中管理商业价值和可持续性的相关战略。因此，本研究探讨了企业可持续发展与基于ESG和人工智能的数字化转型之间的关系。进一步证实了绿色创新对可持续发展过程的调节作用。为了达到本研究的目的，我们收集了359个数据点进行假设检验，并对移动商务平台用户进行了统计分析。得出以下结论。(1) ESG活动已成为实现企业可持续增长的关键变量。企业可以通过ESG活动实施环保运营流程。(2)本研究验证了基于人工智能的数字化转型与企业可持续发展之间的关系，证实了数字化转型对企业可持续发展的正向影响。此外，通过技术创新可以发现社会问题，防止环境事故。(3)本研究并未验证绿色创新的正向调节作用，但强调了其必要性和重要性。虽然绿色创新只能在长期内提高绩效，但它是企业追求可持续增长的关键因素。本研究表明，基于ESG和人工智能的数字化转型是促进企业可持续发展的重要工具，拓宽了相关领域的文献，并为企业管理层和政府决策者提供了推动企业可持续发展的见解。
{"title":"Does ESG and Digital Transformation affects Corporate Sustainability? The Moderating role of Green Innovation","authors":"Chenglin Qing, Shanyue Jin","doi":"arxiv-2311.18351","DOIUrl":"https://doi.org/arxiv-2311.18351","url":null,"abstract":"Recently, environmental, social, and governance (ESG) has become an important\u0000factor in companies' sustainable development. Artificial intelligence (AI) is\u0000also a core digital technology that can create innovative, sustainable,\u0000comprehensive, and resilient environments. ESG- and AI-based digital\u0000transformation is a relevant strategy for managing business value and\u0000sustainability in corporate green management operations. Therefore, this study\u0000examines how corporate sustainability relates to ESG- and AI-based digital\u0000transformation. Furthermore, it confirms the moderating effect of green\u0000innovation on the process of increasing sustainability. To achieve the purpose\u0000of this study, 359 data points collected for hypothesis testing were used for\u0000statistical analysis and for mobile business platform users. The following\u0000conclusions are drawn. (1) ESG activities have become key variables that enable\u0000sustainable corporate growth. Companies can implement eco-friendly operating\u0000processes through ESG activities. (2) This study verifies the relationship\u0000between AI-based digital transformation and corporate sustainability and\u0000confirms that digital transformation positively affects corporate\u0000sustainability. In addition, societal problems can be identified and\u0000environmental accidents prevented through technological innovation. (3) This\u0000study does not verify the positive moderating effect of green innovation;\u0000however, it emphasizes its necessity and importance. Although green innovation\u0000improves performance only in the long term, it is a key factor for companies\u0000pursuing sustainable growth. This study reveals that ESG- and AI-based digital\u0000transformation is an important tool for promoting corporate sustainability,\u0000broadening the literature in related fields and providing insights for\u0000corporate management and government policymakers to advance corporate\u0000sustainability.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of artificial intelligence and breakthroughs in machine learning and natural language processing, intelligent question-answering robots have become widely used in government affairs. This paper conducts a horizontal comparison between Guangdong Province's government chatbots, ChatGPT, and Wenxin Ernie, two large language models, to analyze the strengths and weaknesses of existing government chatbots and AIGC technology. The study finds significant differences between government chatbots and large language models. China's government chatbots are still in an exploratory stage and have a gap to close to achieve "intelligence." To explore the future direction of government chatbots more deeply, this research proposes targeted optimization paths to help generative AI be effectively applied in government chatbot conversations.
{"title":"How Generative-AI can be Effectively used in Government Chatbots","authors":"Zeteng Lin","doi":"arxiv-2312.02181","DOIUrl":"https://doi.org/arxiv-2312.02181","url":null,"abstract":"With the rapid development of artificial intelligence and breakthroughs in\u0000machine learning and natural language processing, intelligent\u0000question-answering robots have become widely used in government affairs. This\u0000paper conducts a horizontal comparison between Guangdong Province's government\u0000chatbots, ChatGPT, and Wenxin Ernie, two large language models, to analyze the\u0000strengths and weaknesses of existing government chatbots and AIGC technology.\u0000The study finds significant differences between government chatbots and large\u0000language models. China's government chatbots are still in an exploratory stage\u0000and have a gap to close to achieve \"intelligence.\" To explore the future\u0000direction of government chatbots more deeply, this research proposes targeted\u0000optimization paths to help generative AI be effectively applied in government\u0000chatbot conversations.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christian Møller Dahl, Nadja van 't Hoff, Giovanni Mellace, Sinne Smed
In October 2011, Denmark introduced the world's first and, to date, only tax targeting saturated fat. However, this tax was subsequently abolished in January 2013. Leveraging exogenous variation from untaxed Northern-German consumers, we employ a difference-in-differences approach to estimate the causal effects of both the implementation and repeal of the tax on consumption and expenditure behavior across eight product categories targeted by the tax. Our findings reveal significant heterogeneity in the tax's impact across these products. During the taxed period, there was a notable decline in consumption of bacon, liver sausage, salami, and cheese, particularly among low-income households. In contrast, expenditure on butter, cream, margarine, and sour cream increased as prices rose. Interestingly, we do not observe any difference in expenditure increases between high and low-income households, suggesting that the latter were disproportionately affected by the tax. After the repeal of the tax, we do not observe any significant decline in consumption. On the contrary, there was an overall increase in consumption for certain products, prompting concerns about unintended consequences resulting from the brief implementation of the tax.
{"title":"Nudging Nutrition: Lessons from the Danish \"Fat Tax\"","authors":"Christian Møller Dahl, Nadja van 't Hoff, Giovanni Mellace, Sinne Smed","doi":"arxiv-2312.11481","DOIUrl":"https://doi.org/arxiv-2312.11481","url":null,"abstract":"In October 2011, Denmark introduced the world's first and, to date, only tax\u0000targeting saturated fat. However, this tax was subsequently abolished in\u0000January 2013. Leveraging exogenous variation from untaxed Northern-German\u0000consumers, we employ a difference-in-differences approach to estimate the\u0000causal effects of both the implementation and repeal of the tax on consumption\u0000and expenditure behavior across eight product categories targeted by the tax.\u0000Our findings reveal significant heterogeneity in the tax's impact across these\u0000products. During the taxed period, there was a notable decline in consumption\u0000of bacon, liver sausage, salami, and cheese, particularly among low-income\u0000households. In contrast, expenditure on butter, cream, margarine, and sour\u0000cream increased as prices rose. Interestingly, we do not observe any difference\u0000in expenditure increases between high and low-income households, suggesting\u0000that the latter were disproportionately affected by the tax. After the repeal\u0000of the tax, we do not observe any significant decline in consumption. On the\u0000contrary, there was an overall increase in consumption for certain products,\u0000prompting concerns about unintended consequences resulting from the brief\u0000implementation of the tax.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138817704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Kröger, Jan Peper, Nils Offermann, Christian Rehtanz
Offshore wind power in the North Sea is considered a main pillar in Europe's future energy system. A key challenge lies in determining the optimal spatial capacity allocation of offshore wind parks in combination with the dimensioning and layout of the connecting high-voltage direct current grid infrastructure. To determine economically cost optimal configurations, we apply an integrated capacity and transmission expansion problem within a pan-European electricity market and transmission grid model with a high spatial and temporal granularity. By conducting scenario analysis for the year 2030 with a gradually increasing CO2 price, possible offshore expansion paths are derived and presented. Special emphasis is laid on the effects of weather uncertainty by incorporating data from 21 historical weather years in the analysis. Two key findings are (i) an expansion in addition to the existing offshore wind capacity of 0 GW (136 EUR/tCO2), 12 GW (159 EUR/tCO2) and 30 GW (186 EUR/tCO2) dependent on the underlying CO2 price. (ii) A strong sensitivity of the results towards the underlying weather data highlighting the importance of incorporating multiple weather years.
{"title":"Optimizing the Generation and Transmission Capacity of Offshore Wind Parks under Weather Uncertainty","authors":"David Kröger, Jan Peper, Nils Offermann, Christian Rehtanz","doi":"arxiv-2311.17981","DOIUrl":"https://doi.org/arxiv-2311.17981","url":null,"abstract":"Offshore wind power in the North Sea is considered a main pillar in Europe's\u0000future energy system. A key challenge lies in determining the optimal spatial\u0000capacity allocation of offshore wind parks in combination with the dimensioning\u0000and layout of the connecting high-voltage direct current grid infrastructure.\u0000To determine economically cost optimal configurations, we apply an integrated\u0000capacity and transmission expansion problem within a pan-European electricity\u0000market and transmission grid model with a high spatial and temporal\u0000granularity. By conducting scenario analysis for the year 2030 with a gradually\u0000increasing CO2 price, possible offshore expansion paths are derived and\u0000presented. Special emphasis is laid on the effects of weather uncertainty by\u0000incorporating data from 21 historical weather years in the analysis. Two key\u0000findings are (i) an expansion in addition to the existing offshore wind\u0000capacity of 0 GW (136 EUR/tCO2), 12 GW (159 EUR/tCO2) and 30 GW (186 EUR/tCO2)\u0000dependent on the underlying CO2 price. (ii) A strong sensitivity of the results\u0000towards the underlying weather data highlighting the importance of\u0000incorporating multiple weather years.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In economic modeling, there has been an increasing investigation into multi-agent simulators. Nevertheless, state-of-the-art studies establish the model based on reinforcement learning (RL) exclusively for specific agent categories, e.g., households, firms, or the government. It lacks concerns over the resulting adaptation of other pivotal agents, thereby disregarding the complex interactions within a real-world economic system. Furthermore, we pay attention to the vital role of the government policy in distributing tax credits. Instead of uniform distribution considered in state-of-the-art, it requires a well-designed strategy to reduce disparities among households and improve social welfare. To address these limitations, we propose an expansive multi-agent economic model comprising reinforcement learning agents of numerous types. Additionally, our research comprehensively explores the impact of tax credit allocation on household behavior and captures the spectrum of spending patterns that can be observed across diverse households. Further, we propose an innovative government policy to distribute tax credits, strategically leveraging insights from tax credit spending patterns. Simulation results illustrate the efficacy of the proposed government strategy in ameliorating inequalities across households.
{"title":"Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents","authors":"Jialin Dong, Kshama Dwarakanath, Svitlana Vyetrenko","doi":"arxiv-2311.17252","DOIUrl":"https://doi.org/arxiv-2311.17252","url":null,"abstract":"In economic modeling, there has been an increasing investigation into\u0000multi-agent simulators. Nevertheless, state-of-the-art studies establish the\u0000model based on reinforcement learning (RL) exclusively for specific agent\u0000categories, e.g., households, firms, or the government. It lacks concerns over\u0000the resulting adaptation of other pivotal agents, thereby disregarding the\u0000complex interactions within a real-world economic system. Furthermore, we pay\u0000attention to the vital role of the government policy in distributing tax\u0000credits. Instead of uniform distribution considered in state-of-the-art, it\u0000requires a well-designed strategy to reduce disparities among households and\u0000improve social welfare. To address these limitations, we propose an expansive\u0000multi-agent economic model comprising reinforcement learning agents of numerous\u0000types. Additionally, our research comprehensively explores the impact of tax\u0000credit allocation on household behavior and captures the spectrum of spending\u0000patterns that can be observed across diverse households. Further, we propose an\u0000innovative government policy to distribute tax credits, strategically\u0000leveraging insights from tax credit spending patterns. Simulation results\u0000illustrate the efficacy of the proposed government strategy in ameliorating\u0000inequalities across households.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The objective of this research was to determine the degree of knowledge that the inhabitants of the Guadalajara Metropolitan Area (made up of the municipalities Guadalajara, Tlajomulco de Z'u~niga, Tlaquepaque, Zapopan and Tonal'a) had regarding tequila and the brands produced in Los Altos of Jalisco. For this, a survey consisting of five questions was designed, which was applied in the central square, center or z'ocalo of each municipality. The results show that the big brands, when acquired by international companies, focused their attention on capturing the consumer in international markets, since the prices of the same products that they export have been out of the pocket of those who like That drink, so it could be considered that the big brands, have left the national market a little behind, of course they did not abandon it completely, but it stopped being their main objective. Therefore, it can be concluded that the national market is the window of opportunity to join the small and still unknown producers to work together and in a grouped way, they are able to standardize a series of products that being of the same quality and same packaging, they can cover the national market, and perhaps, in the future, become a large company distributed throughout the territory and begin the export process only with national capital.
{"title":"El tequila para consumo nacional como una ventana de oportunidades para el pequeño productor agavero","authors":"Guillermo José Navarro del Toro","doi":"arxiv-2311.17193","DOIUrl":"https://doi.org/arxiv-2311.17193","url":null,"abstract":"The objective of this research was to determine the degree of knowledge that\u0000the inhabitants of the Guadalajara Metropolitan Area (made up of the\u0000municipalities Guadalajara, Tlajomulco de Z'u~niga, Tlaquepaque, Zapopan and\u0000Tonal'a) had regarding tequila and the brands produced in Los Altos of\u0000Jalisco. For this, a survey consisting of five questions was designed, which\u0000was applied in the central square, center or z'ocalo of each municipality. The\u0000results show that the big brands, when acquired by international companies,\u0000focused their attention on capturing the consumer in international markets,\u0000since the prices of the same products that they export have been out of the\u0000pocket of those who like That drink, so it could be considered that the big\u0000brands, have left the national market a little behind, of course they did not\u0000abandon it completely, but it stopped being their main objective. Therefore, it\u0000can be concluded that the national market is the window of opportunity to join\u0000the small and still unknown producers to work together and in a grouped way,\u0000they are able to standardize a series of products that being of the same\u0000quality and same packaging, they can cover the national market, and perhaps, in\u0000the future, become a large company distributed throughout the territory and\u0000begin the export process only with national capital.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The clarion call for causal reduction in the study of capital markets is intensifying. However, in self-referencing and open systems such as capital markets, the idea of unidirectional causation (if applicable) may be limiting at best, and unstable or fallacious at worst. In this research, we critically assess the use of scientific deduction and causal inference within the study of empirical finance and econometrics. We then demonstrate the idea of competing causal chains using a toy model adapted from ecological predator/prey relationships. From this, we develop the alternative view that the study of empirical finance, and the risks contained therein, may be better appreciated once we admit that our current arsenal of quantitative finance tools may be limited to ex post causal inference under popular assumptions. Where these assumptions are challenged, for example in a recognizable reflexive context, the prescription of unidirectional causation proves deeply problematic.
{"title":"Epistemic Limits of Empirical Finance: Causal Reductionism and Self-Reference","authors":"Daniel Polakow, Tim Gebbie, Emlyn Flint","doi":"arxiv-2311.16570","DOIUrl":"https://doi.org/arxiv-2311.16570","url":null,"abstract":"The clarion call for causal reduction in the study of capital markets is\u0000intensifying. However, in self-referencing and open systems such as capital\u0000markets, the idea of unidirectional causation (if applicable) may be limiting\u0000at best, and unstable or fallacious at worst. In this research, we critically\u0000assess the use of scientific deduction and causal inference within the study of\u0000empirical finance and econometrics. We then demonstrate the idea of competing\u0000causal chains using a toy model adapted from ecological predator/prey\u0000relationships. From this, we develop the alternative view that the study of\u0000empirical finance, and the risks contained therein, may be better appreciated\u0000once we admit that our current arsenal of quantitative finance tools may be\u0000limited to ex post causal inference under popular assumptions. Where these\u0000assumptions are challenged, for example in a recognizable reflexive context,\u0000the prescription of unidirectional causation proves deeply problematic.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I present new evidence of the effects of climate shocks on political violence and social unrest. Using granular conflict and weather data covering the entire continent of Africa from 1997 to 2023, I find that exposure to El Ni~no events during the crop-growing season decreases political violence targeted at civilians during the early postharvest season. A moderate-strength El Ni~no event results in a three percent reduction in political violence with civilian targeting in croplands compared with the benchmark levels of this conflict evaluated at average cropland size and average growing-season exposure of local weather to El Ni~no shocks. Because this effect manifests itself only in cells with crop agriculture and only during the postharvest season supports the idea that agriculture is the key channel and rapacity is the key motive connecting climatic shocks and political violence. Reassuringly, the magnitude of the estimated effect increases substantially, in one instance more than doubles, when I use subsets of data that are better suited for unveiling the proposed mechanism. This study advances knowledge of the relationship between climate and conflict. And because El Ni~no events can be predicted several months in advance, these findings can contribute to creating a platform for early warning of political violence, specifically in predominantly agrarian societies in Africa.
{"title":"Climate, Crops, and Postharvest Conflict","authors":"David Ubilava","doi":"arxiv-2311.16370","DOIUrl":"https://doi.org/arxiv-2311.16370","url":null,"abstract":"I present new evidence of the effects of climate shocks on political violence\u0000and social unrest. Using granular conflict and weather data covering the entire\u0000continent of Africa from 1997 to 2023, I find that exposure to El Ni~no events\u0000during the crop-growing season decreases political violence targeted at\u0000civilians during the early postharvest season. A moderate-strength El Ni~no\u0000event results in a three percent reduction in political violence with civilian\u0000targeting in croplands compared with the benchmark levels of this conflict\u0000evaluated at average cropland size and average growing-season exposure of local\u0000weather to El Ni~no shocks. Because this effect manifests itself only in cells\u0000with crop agriculture and only during the postharvest season supports the idea\u0000that agriculture is the key channel and rapacity is the key motive connecting\u0000climatic shocks and political violence. Reassuringly, the magnitude of the\u0000estimated effect increases substantially, in one instance more than doubles,\u0000when I use subsets of data that are better suited for unveiling the proposed\u0000mechanism. This study advances knowledge of the relationship between climate\u0000and conflict. And because El Ni~no events can be predicted several months in\u0000advance, these findings can contribute to creating a platform for early warning\u0000of political violence, specifically in predominantly agrarian societies in\u0000Africa.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As artificial intelligence (AI) is integrated into various services and systems in society, many companies and organizations have proposed AI principles, policies, and made the related commitments. Conversely, some have proposed the need for independent audits, arguing that the voluntary principles adopted by the developers and providers of AI services and systems insufficiently address risk. This policy recommendation summarizes the issues related to the auditing of AI services and systems and presents three recommendations for promoting AI auditing that contribute to sound AI governance. Recommendation1.Development of institutional design for AI audits. Recommendation2.Training human resources for AI audits. Recommendation3. Updating AI audits in accordance with technological progress. In this policy recommendation, AI is assumed to be that which recognizes and predicts data with the last chapter outlining how generative AI should be audited.
{"title":"Advancing AI Audits for Enhanced AI Governance","authors":"Arisa Ema, Ryo Sato, Tomoharu Hase, Masafumi Nakano, Shinji Kamimura, Hiromu Kitamura","doi":"arxiv-2312.00044","DOIUrl":"https://doi.org/arxiv-2312.00044","url":null,"abstract":"As artificial intelligence (AI) is integrated into various services and\u0000systems in society, many companies and organizations have proposed AI\u0000principles, policies, and made the related commitments. Conversely, some have\u0000proposed the need for independent audits, arguing that the voluntary principles\u0000adopted by the developers and providers of AI services and systems\u0000insufficiently address risk. This policy recommendation summarizes the issues\u0000related to the auditing of AI services and systems and presents three\u0000recommendations for promoting AI auditing that contribute to sound AI\u0000governance. Recommendation1.Development of institutional design for AI audits.\u0000Recommendation2.Training human resources for AI audits. Recommendation3.\u0000Updating AI audits in accordance with technological progress. In this policy recommendation, AI is assumed to be that which recognizes and\u0000predicts data with the last chapter outlining how generative AI should be\u0000audited.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Process mining has become one of the best programs that can outline the event logs of production processes in visualized detail. We have addressed the important problem that easily occurs in the industrial process called Bottleneck. The analysis process was focused on extracting the bottlenecks in the production line to improve the flow of production. Given enough stored history logs, the field of process mining can provide a suitable answer to optimize production flow by mitigating bottlenecks in the production stream. Process mining diagnoses the productivity processes by mining event logs, this can help to expose the opportunities to optimize critical production processes. We found that there is a considerable bottleneck in the process because of the weaving activities. Through discussions with specialists, it was agreed that the main problem in the weaving processes, especially machines that were exhausted in overloading processes. The improvement in the system has measured by teamwork; the cycle time for process has improved to 91%, the worker's performance has improved to 96%,product quality has improved by 85%, and lead time has optimized from days and weeks to hours.
{"title":"Application of Process Mining and Sequence Clustering in Recognizing an Industrial Issue","authors":"Hamza Saad","doi":"arxiv-2311.15362","DOIUrl":"https://doi.org/arxiv-2311.15362","url":null,"abstract":"Process mining has become one of the best programs that can outline the event\u0000logs of production processes in visualized detail. We have addressed the\u0000important problem that easily occurs in the industrial process called\u0000Bottleneck. The analysis process was focused on extracting the bottlenecks in\u0000the production line to improve the flow of production. Given enough stored\u0000history logs, the field of process mining can provide a suitable answer to\u0000optimize production flow by mitigating bottlenecks in the production stream.\u0000Process mining diagnoses the productivity processes by mining event logs, this\u0000can help to expose the opportunities to optimize critical production processes.\u0000We found that there is a considerable bottleneck in the process because of the\u0000weaving activities. Through discussions with specialists, it was agreed that\u0000the main problem in the weaving processes, especially machines that were\u0000exhausted in overloading processes. The improvement in the system has measured\u0000by teamwork; the cycle time for process has improved to 91%, the worker's\u0000performance has improved to 96%,product quality has improved by 85%, and lead\u0000time has optimized from days and weeks to hours.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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