Promises and limits of law for a human-centric artificial intelligence

Amariles, David Restrepo; Baquero, Pablo Marcello

doi:10.1016/j.clsr.2023.105795

Cited by 15 publications

(1 citation statement)

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“…Critical approaches also point out that despite regulatory initiatives explicitly invoking the need to incorporate human values into AI systems, they have the main objective of setting rules and standards to enable AI-based products and services to circulate in markets [20][21][22] and might serve to avoid or delay binding regulation [12,23]. Other critical studies argue that AI ethics fails to mitigate the racial, social, and environmental damage of AI technologies in any meaningful sense [24] and excludes alternative ethical practices [25,26].…”

Section: Introductionmentioning

confidence: 99%

Publics’ views on ethical challenges of artificial intelligence: a scoping review

Machado,

Silva,

Neiva

2023

AI Ethics

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This scoping review examines the research landscape about publics’ views on the ethical challenges of AI. To elucidate how the concerns voiced by the publics are translated within the research domain, this study scrutinizes 64 publications sourced from PubMed® and Web of Science™. The central inquiry revolves around discerning the motivations, stakeholders, and ethical quandaries that emerge in research on this topic. The analysis reveals that innovation and legitimation stand out as the primary impetuses for engaging the public in deliberations concerning the ethical dilemmas associated with AI technologies. Supplementary motives are rooted in educational endeavors, democratization initiatives, and inspirational pursuits, whereas politicization emerges as a comparatively infrequent incentive. The study participants predominantly comprise the general public and professional groups, followed by AI system developers, industry and business managers, students, scholars, consumers, and policymakers. The ethical dimensions most commonly explored in the literature encompass human agency and oversight, followed by issues centered on privacy and data governance. Conversely, topics related to diversity, nondiscrimination, fairness, societal and environmental well-being, technical robustness, safety, transparency, and accountability receive comparatively less attention. This paper delineates the concrete operationalization of calls for public involvement in AI governance within the research sphere. It underscores the intricate interplay between ethical concerns, public involvement, and societal structures, including political and economic agendas, which serve to bolster technical proficiency and affirm the legitimacy of AI development in accordance with the institutional norms that underlie responsible research practices.

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Section: Introductionmentioning

confidence: 99%

Publics’ views on ethical challenges of artificial intelligence: a scoping review

Machado,

Silva,

Neiva

2023

AI Ethics

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Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

Al‐Fakih,

Abdulraheem,

Kaka

2024

Deep Underground Science and Engineering

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This study delves into the latest advancements in machine learning and deep learning applications in geothermal resource development, extending the analysis up to 2024. It focuses on artificial intelligence's transformative role in the geothermal industry, analyzing recent literature from Scopus and Google Scholar to identify emerging trends, challenges, and future opportunities. The results reveal a marked increase in artificial intelligence (AI) applications, particularly in reservoir engineering, with significant advancements observed post‐2019. This study highlights AI's potential in enhancing drilling and exploration, emphasizing the integration of detailed case studies and practical applications. It also underscores the importance of ongoing research and tailored AI applications, in light of the rapid technological advancements and future trends in the field.

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Modelling Legal Judgements with BDI Agents in Mercury: Analysis of the Pierson Versus Post Case

Vidal-López,

Hernández-Servín

2024

Lecture Notes in Networks and Systems

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Promises and limits of law for a human-centric artificial intelligence

Cited by 15 publications

References 0 publications

Publics’ views on ethical challenges of artificial intelligence: a scoping review

Publics’ views on ethical challenges of artificial intelligence: a scoping review

Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

Modelling Legal Judgements with BDI Agents in Mercury: Analysis of the Pierson Versus Post Case

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