The Key Concepts of Ethics of Artificial Intelligence

Vakkuri, Ville; Abrahamsson, Pekka

doi:10.1109/ice.2018.8436265

Cited by 27 publications

(14 citation statements)

References 66 publications

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“…SMSs are conducted following a process that includes quality techniques aimed to be repeatable and to minimise possible biases. SMSs have been used extensively in different computer science fields, including AI [ 48 , 49 , 50 , 51 ]. There are several guidelines in the SMS literature [ 33 , 52 ].…”

Section: Methodsmentioning

confidence: 99%

Applicability of Multi-Agent Systems and Constrained Reasoning for Sensor-Based Distributed Scenarios: A Systematic Mapping Study on Dynamic DCOPs

Barambones

Imbert

Moral

2021

Sensors

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Context: At present, sensor-based systems are widely used to solve distributed problems in changing environments where sensors are controlled by intelligent agents. On Multi-Agent Systems, agents perceive their environment through such sensors, acting upon that environment through actuators in a continuous cycle. These problems have not always been addressed from an ad-hoc perspective, designed specifically for the circumstances of the problem at hand. Instead, they have been modelled under a common mathematical framework as distributed constrained optimisation problems (DCOP). Objective: The question to answer is how sensor-based scenarios have been modelled as DCOPs in changing environments known as Dynamic DCOP and what their trends, gaps, and progression are. Method: A systematic mapping study of Dynamic DCOPs has been conducted, considering the scattered literature and the lack of consensus in the terminology. Results: Given the high complexity of distributed constraint-based problems, priority is given to obtaining sub-optimal but fast responses with a low communication cost. Other trending aspects are the scalability and guaranteeing the solution over time. Conclusion: Despite some lacks in the analysis and experimentation in real-world scenarios, a large set that is applicable to changing sensor-based scenarios is evidenced, along with proposals that allow the integration of off-the-shell constraint-based algorithms.

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Section: Methodsmentioning

confidence: 99%

Applicability of Multi-Agent Systems and Constrained Reasoning for Sensor-Based Distributed Scenarios: A Systematic Mapping Study on Dynamic DCOPs

Barambones

Imbert

Moral

2021

Sensors

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“…Following the approach of other research, this study engages in a systematic review and mapping of the extant literature (e.g., Huang et al, 2023;Murphy et al, 2021;Tranfield et al, 2003;Vakkuri & Abrahamsson, 2018). The following keyword combinations were developed to explore the ethic-theoretical foundations of AI research:…”

Section: Structured Literature Reviewmentioning

confidence: 99%

Mapping the ethic‐theoretical foundations of artificial intelligence research

White,

Samuel,

Jones

et al. 2024

Thunderbird Intl Bus Rev

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The issue of artificial intelligence (AI) ethics is a prominent research subject. While there is a compendious literature that explores this area, surprisingly little of it makes explicit reference to the ethic‐theoretical foundations upon which it is built. To address this matter, this study makes an examination of the AI ethics literature to identify its ethic‐theoretical foundations. The study identifies the lack of AI ethics literature that draws upon seminal ethics works and the ensuing disconnectedness among the publications on this subject. It also uncovers numerous non‐Western ethic‐theoretical positions that can be adopted and may afford new insight into AI ethics research and practice. Employing these alternative lenses may obviate the tendency for Western worldviews to dominate the academic literature. The study provides some guidance for future AI ethics research which should endeavor to clearly articulate its chosen ethic‐theoretical position, and for practice which could benefit from understanding and articulating the principles upon which AI systems are founded. It also provides some observations of, and guidance for, the utilization of Litmaps software in the conduct of Literature reviews.

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“…Vakkuri and Abrahamsson [64] employed a systematic mapping study to identify the key concepts of AI ethics. They identified key phrases such as "robot ethics", "moral agency", "human rights", and "AI ethics", similar to what we have found in our study.…”

Section: Keyword and Co-occurrence Analysismentioning

confidence: 99%

Ethical, legal, social, and economic (ELSE) implications of artificial intelligence at a global level: a scientometrics approach

et al. 2022

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Artificial intelligence (AI) development and applications are growing rapidly. Simultaneously, researchers have also been exploring the ethical, legal, social, and economic (ELSE) implications of it. However, global mapping of the ELSE implications of AI is lacking, hence we explored it through mixed qualitative and quantitative research methods. Using a scientometrics analysis of the publication records (between 1991 and 2020; n = 1028), and content analysis of highly cited publications, our study provided insights on the ELSE implications of AI. Our study findings indicate that ELSE implications of AI development started gaining momentum globally over the last 5 years and we predict that by the end of this decade publication numbers will be more than 750 per year. Europe (46%) and North America (33%) were leaders in publications in this area while Africa (1.8%) and South America (1.4%) have lagged behind. Additionally, the computer science (350) research area had the maximum number of ELSE implications of AI publications, followed by humanities and social sciences (e.g., legal, policy; 322), but have not been explored extensively in the agricultural sciences (23). We observed that the major disparities in studies of ELSE implications of AI were found to be a combination of economics, governance, sociocultural, and policy factors. ELSE implications must be explored through a multidisciplinary approach, taking into consideration the stakeholders' perspectives right at the inception of AI systems development to gain trust and better adoption by the end users. KeywordsAI and ethics • Scientometrics • Keyword analysis • ELSE implications of AI • Co-occurrence analysis • AI ethics and global mapping • Content analysis • AI ethics and agricultural sciences * Debasmita Patra

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The Key Concepts of Ethics of Artificial Intelligence

Cited by 27 publications

References 66 publications

Applicability of Multi-Agent Systems and Constrained Reasoning for Sensor-Based Distributed Scenarios: A Systematic Mapping Study on Dynamic DCOPs

Applicability of Multi-Agent Systems and Constrained Reasoning for Sensor-Based Distributed Scenarios: A Systematic Mapping Study on Dynamic DCOPs

Mapping the ethic‐theoretical foundations of artificial intelligence research

Ethical, legal, social, and economic (ELSE) implications of artificial intelligence at a global level: a scientometrics approach

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