• Title/Summary/Keyword: AI ethics guideline

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Seoul PACT : Principles of Artificial Intelligence Ethics and its Application Example to Intelligent E-Government Service (인공지능 윤리 원칙 Seoul PACT를 적용한 지능형 전자정부 서비스 윤리 가이드라인)

  • Kim, Myuhng Joo
    • Journal of Information Technology Services
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    • v.18 no.3
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    • pp.117-128
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    • 2019
  • The remarkable achievements of the artificial intelligence in recent years are also raising awareness about its potential risks. Several governments and public organizations have been proposing the artificial intelligence ethics for sustainable development of artificial intelligence by minimizing potential risks. However, most existing proposals are focused on the developer-centered ethics, which is not sufficient for the comprehensive ethics required for ongoing intelligent information society. In addition, they have chosen a number of principles as the starting point of artificial intelligence ethics, so it is not easy to derive the guideline flexibly for a specific member reflecting its own situation. In this paper, we classify primitive members who need artificial intelligence ethics in intelligent information society into three : Developer, Supplier and User. We suggest a new artificial intelligence ethics, Seoul PACT, with minimal principles through publicness (P), accountability (A), controllability (C), and transparency (T). In addition, we provide 38 canonical guidelines based on these four principles, which are applicable to each primitive members. It is possible for a specific member to duplicate the roles of primitive members, so that the flexible derivation of the artificial intelligence ethics guidelines can be made according to the characteristics of the member reflecting its own situation. As an application example, in preparation for applying artificial intelligence to e-government service, we derive a full set of artificial intelligence ethics guideline from Seoul PACT, which can be adopted by the special member named Korean Government.

A Study on How to Set up a Standard Framework for AI Ethics and Regulation (AI 윤리와 규제에 관한 표준 프레임워크 설정 방안 연구)

  • Nam, Mun-Hee
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.7-15
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    • 2022
  • With the aim of an intelligent world in the age of individual customization through decentralization of information and technology, sharing/opening, and connection, we often see a tendency to cross expectations and concerns in the technological discourse and interest in artificial intelligence more than ever. Recently, it is easy to find claims by futurists that AI singularity will appear before and after 2045. Now, as part of preparations to create a paradigm of coexistence that coexists and prosper with AI in the coming age of artificial intelligence, a standard framework for setting up more correct AI ethics and regulations is required. This is because excluding the risk of omission of setting major guidelines and methods for evaluating reasonable and more reasonable guideline items and evaluation standards are increasingly becoming major research issues. In order to solve these research problems and at the same time to develop continuous experiences and learning effects on AI ethics and regulation setting, we collect guideline data on AI ethics and regulation of international organizations / countries / companies, and research and suggest ways to set up a standard framework (SF: Standard Framework) through a setting research model and text mining exploratory analysis. The results of this study can be contributed as basic prior research data for more advanced AI ethics and regulatory guidelines item setting and evaluation methods in the future.

A Study on Policy Instrument for the Development of Ethical AI-based Services for Enterprises: An Exploratory Analysis Using AHP (기업의 윤리적 인공지능 기반 서비스 개발을 위한 정책수단 연구: AHP를 활용한 탐색적 분석)

  • Changki Jang;MinSang Yi;WookJoon Sung
    • Journal of Information Technology Services
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    • v.22 no.2
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    • pp.23-40
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    • 2023
  • Despite the growing interest and normative discussions on AI ethics, there is a lack of discussion on policy instruments that are necessary for companies to develop AI-based services in compliance with ethical principles. Thus, the purpose of this study is to explore policy instruments that can encourage companies to voluntarily comply with and adopt AI ethical standards and self-checklists. The study reviews previous research and similar cases on AI ethics, conducts interviews with AI-related companies, and analyzes the data using AHP to derive action plans. In terms of desirability and feasibility, Research findings show that policy instruments that induce companies to ethically develop AI-based services should be prioritized, while regulatory instruments require a cautious approach. It was also found that a consulting support policy consisting of experts in various fields who can support the use of AI ethics, and support for the development of solutions that adhere to AI ethical standards are necessary as incentive policies. Additionally, the participation and agreement of various stakeholders in the process of establishing AI ethical standards are crucial, and policy instruments need to be continuously supplemented through implementation and feedback. This study is significant as it presents the necessary policy instruments for companies to develop ethical AI-based services through an analytical methodology, moving beyond discursive discussions on AI ethical principles. Further analysis on the effectiveness of policy instruments linked to AI ethical principles is necessary for establishing ethical AI-based service development.

Research on institutional improvement measures to strengthen artificial intelligence ethics (인공지능 윤리 강화를 위한 제도적 개선방안 연구)

  • Gun-Sang Cha
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.63-70
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    • 2024
  • With the development of artificial intelligence technology, our lives are changing in innovative ways, but at the same time, new ethical issues are emerging. In particular, issues of discrimination due to algorithm and data bias, deep fakes, and personal information leakage issues are judged to be social priorities that must be resolved as artificial intelligence services expand. To this end, this paper examines the concept of artificial intelligence and ethical issues from the perspective of artificial intelligence ethics, and includes each country's ethical guidelines, laws, artificial intelligence impact assessment system, artificial intelligence certification system, and the current status of technologies related to artificial intelligence algorithm transparency to prevent this. We would like to examine and suggest institutional improvement measures to strengthen artificial intelligence ethics.