دانلود و نمایش مقالات مرتبط با Data governance::صفحه 1
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نتیجه جستجو - Data governance

تعداد مقالات یافته شده: 6
ردیف عنوان نوع
1 AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings
حکمرانی هوش مصنوعی در بخش عمومی: سه داستان از مرزهای تصمیم گیری خودکار در تنظیمات دموکراتیک-2020
The rush to understand new socio-economic contexts created by the wide adoption of AI is justified by its far-ranging consequences, spanning almost every walk of life. Yet, the public sector’s predicament is a tragic double bind: its obligations to protect citizens from potential algorithmic harms are at odds with the temptation to increase its own efficiency - or in other words - to govern algorithms, while governing by algorithms. Whether such dual role is even possible, has been a matter of debate, the challenge stemming from algorithms’ intrinsic properties, that make them distinct from other digital solutions, long embraced by the governments, create externalities that rule-based programming lacks. As the pressures to deploy automated decision making systems in the public sector become prevalent, this paper aims to examine how the use of AI in the public sector in relation to existing data governance regimes and national regulatory practices can be intensifying existing power asymmetries. To this end, investigating the legal and policy instruments associated with the use of AI for strenghtening the immigration process control system in Canada; “optimising” the employment services” in Poland, and personalising the digital service experience in Finland, the paper advocates for the need of a common framework to evaluate the potential impact of the use of AI in the public sector. In this regard, it discusses the specific effects of automated decision support systems on public services and the growing expectations for governments to play a more prevalent role in the digital society and to ensure that the potential of technology is harnessed, while negative effects are controlled and possibly avoided. This is of particular importance in light of the current COVID-19 emergency crisis where AI and the underpinning regulatory framework of data ecosystems, have become crucial policy issues as more and more innovations are based on large scale data collections from digital devices, and the real-time accessibility of information and services, contact and relationships between institutions and citizens could strengthen – or undermine - trust in governance systems and democracy.
Keywords: Artificial intelligence | Public sector innovation | Automated decision making | Algorithmic accountability
مقاله انگلیسی
2 Constructing a mutually supportive interface between ethics and regulation
ایجاد یک رابط حمایتی متقابل بین اخلاق و مقررات-2020
When the word ’ethical’ becomes synonymous with specious, you know that something is amiss. With each data governance scandal, with each creation of a corporate ’ethics board’, ’ethical standards’ seemingly lose a few more feathers, to the point of generating instant suspicion when invoked in any official report. We argue that a key challenge in this regard is to more precisely define the ethics-regulation interface. In order to do this, we first provide an overview of recent endeavours to develop ethical frameworks around technology. We then look at a successful process of refinement of the ethics-regulation interface: the case of healthcare ethics in the UK. The third section develops an account of what a more robust ethics-regulation interface could look like, which would support a process of crossfertilisation between the political, ethical and legal approaches. Finally, the fourth and last section critically examines a ‘live’ implementation of such ethics-regulation interface, as put forward in Quebec’s ‘Bill 29.
Keywords: Technology ethics | Regulation and governance | Healthcare ethics
مقاله انگلیسی
3 UK further education sector journey to compliance with the general data protection regulation and the data protection act 2018
سفر بخش آموزش بیشتر بریتانیا به انطباق با مقررات عمومی حفاظت از داده ها و قانون حفاظت از داده ها در سال 2018-2020
The Further Education sector provides training and qualifications to 2.2million young people and adults annually and in the process collect a wealth of data which must be properly managed to ensure it is processed in a fair and transparent manner, maintaining compliance with good information governance and data protection legislation. This article shares the findings of a study which explored the content of General Data Protection Regulation action plans, first hand accounts from data practitioners and the views of students as provides embraced the new legislation.
The article demonstrates how a sector which fills the void between schools and univer- sities is unique in the challenges they face when ensuring compliance with data protection laws. These challenges include the application of legislation, noting key differences between the nations of the United Kingdom, and the moral duties placed upon the provider by par- ents who expect open dialogue with the education provider, consistent as happened with lower levels of education. This must be balanced with the student’s right to data privacy and control over who can access their educational records .© 2021 Benjamin Phillips. Published by Elsevier Ltd. All rights reserved.
Keywords: Data protection | GDPR | Further education | Data governance | Information management | Data subject rights | Data breach | Compliance | Public sector
مقاله انگلیسی
4 The future of statistics and data science
آینده آمار و علم داده-2018
The ubiquity of sensing devices, the low cost of data storage, and the commoditization of computing have together led to a big data revolution. We discuss the implication of this revolution for statistics, focusing on how our discipline can best contribute to the emerging field of data science.
Keywords: Algorithmic transparency ، Data analysis ، Data governance ، Predictive analytics ، Statistical inference ، Structured and unstructured data
مقاله انگلیسی
5 Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data
مورد مدیریت داده در KrauseMcMahon LLP در عصر خود سرویس هوش تجاری و داده های بزرگ-2017
This case increases your understanding of data governance in an era of sophisticated ana lytics and Big Data where corporate data integrity and data quality may be at risk. KrauseMcMahon, a large certified public accounting and business consulting firm, faces a tradeoff of increasing control of the company’s data assets versus unleashing end user innovation due to the proliferation of self-service business intelligence tools. You are required to analyze the issues in the case from organizational, financial, and technical per spectives to propose alternatives the organization should consider and make specific rec ommendations on how the company should proceed. By completing this case, you will demonstrate cross-disciplinary abilities related to foundational business, accounting, and broad management competencies. By addressing such competencies, the case requires your use of accounting, MIS, and upper-level business skills.
Keywords:Big Data|Data governance|Self-service business intelligence
مقاله انگلیسی
6 Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data
مورد دولت داده ها در KrauseMcMahon LLP در عصر هوش تجاری خود سرویس و داده های بزرگ-2017
This case increases your understanding of data governance in an era of sophisticated ana lytics and Big Data where corporate data integrity and data quality may be at risk. KrauseMcMahon, a large certified public accounting and business consulting firm, faces a tradeoff of increasing control of the company’s data assets versus unleashing end user innovation due to the proliferation of self-service business intelligence tools. You are required to analyze the issues in the case from organizational, financial, and technical per spectives to propose alternatives the organization should consider and make specific rec ommendations on how the company should proceed. By completing this case, you will demonstrate cross-disciplinary abilities related to foundational business, accounting, and broad management competencies. By addressing such competencies, the case requires your use of accounting, MIS, and upper-level business skills.
Keywords:Big Data|Data governance|Self-service business intelligence
مقاله انگلیسی
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