Artificial Intelligence Ethics: Governance through Social Media

Buenfil, Jorge; Arnold, Ross; Abruzzo, Benjamin; Korpela, Christopher

doi:10.1109/hst47167.2019.9032907

Cited by 16 publications

(6 citation statements)

References 8 publications

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“…Moreover, a significant part of the reviewed AIG literature focuses on finding and implementing technical solutions to improve existing AI systems Domanski, 2019;Stilgoe, 2018). These technical solutions are designed to, for example, protect data privacy (Carter, 2020) and security (Shneiderman, 2020), improve AI system learning by obtaining data from public sources (Buenfil et al, 2019) and leverage diverse datasets to mitigate possible biases (Shneiderman, 2020).…”

Section: Knowledge Gapsmentioning

confidence: 99%

“…Moreover, the role of training data is explicitly discussed in the literature to ensure the appropriate conduct of AI systems. For example, using multiple training datasets can potentially improve accountability (Shah, 2018), and data available on social media, reports on humanitarian actions and ethical misconduct by public bodies can be used to facilitate the self-learning of AI systems for ethical behavior (Buenfil et al. , 2019).…”

Section: Conceptualizations Of Ai Governance and Themes In The Ai Gov...mentioning

confidence: 99%

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AI governance: themes, knowledge gaps and future agendas

Birkstedt

Minkkinen

Tandon

et al. 2023

INTR

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PurposeFollowing the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.Design/methodology/approachThe authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).FindingsThe results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.Research limitations/implicationsTo address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.Practical implicationsFor practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.Social implicationsFor society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.Originality/valueBy delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

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Section: Knowledge Gapsmentioning

confidence: 99%

Section: Conceptualizations Of Ai Governance and Themes In The Ai Gov...mentioning

confidence: 99%

AI governance: themes, knowledge gaps and future agendas

Birkstedt

Minkkinen

Tandon

et al. 2023

INTR

View full text Add to dashboard Cite

show abstract

“…In [84], the authors propose an interesting way of learning ethical behavior by robots using data from social media (Twitter, Facebook, Instagram), records of court cases, and related available data sources. The training data set should include both ethical and unethical patterns of behavior.…”

Section: Cooperation With Robotsmentioning

confidence: 99%

Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens

Bistroń

Piotrowski

2021

Electronics

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The paper presents an overview of current and expected prospects for the development of artificial intelligence algorithms, especially in military applications, and conducted research regarding applications in the area of civilian life. Attention was paid mainly to the use of AI algorithms in cybersecurity, object detection, military logistics and robotics. It discusses the problems connected with the present solutions and how artificial intelligence can help solve them. It briefly presents also mathematical structures and descriptions for ART, CNN and SVM networks as well as Expectation–Maximization and Gaussian Mixture Model algorithms that are used in solving of discussed problems. The third chapter discusses the attitude of society towards the use of neural network algorithms in military applications. The basic problems related to ethics in the application of artificial intelligence and issues of responsibility for errors made by autonomous systems are discussed.

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“…This gives grounds to conclude that a unified approach to AI ethics in modern public governance have not been established yet. In this regard, the social media serve as one of the most spread and significant areas of AI application [26], since in the modern world social networks are not only a means of ensuring the connectivity of society, but also an instrument of state policy, personalization of public governance, detection of offenses, as well as ensuring the open governance. In this regard, a number of researchers address the issue of AI responsibility.…”

Section: The Role Of Ai In Modern Governance Business and Social Development Contextmentioning

confidence: 99%

Factoring ethics in management algorithms for municipal information-analytical systems

et al. 2021

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The discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent frameworks have been remaining vague. The following paper aims to fill this gap by examining the ethical implications of the use of information analytical systems through a management approach for filtering the content in social media and preventing information thrusts with negative consequences for human beings and public administration. The ethical dimensions of AI technologies are revealed through deduction of general challenges of digital governance to applied level management technics.

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Artificial Intelligence Ethics: Governance through Social Media

Cited by 16 publications

References 8 publications

AI governance: themes, knowledge gaps and future agendas

AI governance: themes, knowledge gaps and future agendas

Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens

Factoring ethics in management algorithms for municipal information-analytical systems

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