On mapping values in AI Governance

Gordon, Geoff; Rieder, Bernhard; Sileno, Giovanni

doi:10.1016/j.clsr.2022.105712

Cited by 8 publications

(5 citation statements)

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“…The current literature examining the effects of the digital economy on other factors can be categorized into the following aspects: in terms of economic effects, the digital economy has the potential to improve income levels, particularly among low-income rural populations, by leveraging digital finance and digital skills, thus fostering inclusive growth (Kapoor 2014;Bauer 2018;Yang et al 2022a, b, c). However, Gordon et al (2022) posits that AI technologies alone are insufficient to drive productivity gains, while Acemoglu and Restrepo (2018) contend that excessive digitalization may lead to resource waste and labor mismatch, ultimately inhibiting total factor productivity growth. With regard to employment structure, the digital economy may negatively impact low-skilled labor employment, resulting in structural unemployment issues (Acemoglu and Restrepo 2017).…”

Section: Research On Digital Economymentioning

confidence: 99%

The corporate path to green innovation: does the digital economy matter?

Wang

2023

Environ Sci Pollut Res

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As China’s digital transformation accelerates, there is growing interest in whether the digital economy can effectively boost green innovation in industrial enterprises and enable China’s development to break through the constraints of resources and environment. Therefore, this study analyzes the data of A-share industrial listed enterprises (2011–2020). Results indicate that the digital economy promotes green innovation. The impact of the digital economy on green innovation varies significantly among different types of enterprises, with stronger effects on state-owned enterprises. Digital economy enhances green innovation via boosting public attention and optimizing energy structure. Therefore, playing the role of monitoring public attention, and optimizing energy use are key strategies to promote corporate green innovation.

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Section: Research On Digital Economymentioning

confidence: 99%

The corporate path to green innovation: does the digital economy matter?

Wang

2023

Environ Sci Pollut Res

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“…Furthermore, as Gordon et al (2022) write, the process of associating lines of code with values constitutes a more extensive, uncertain process of translation. A value such as “sustainability” is performed through a host of “material actions and interactions conducted in its name” (p. 4).…”

Section: Ecological Ethics In Times Of Algorithmic Computationmentioning

confidence: 99%

Ecological ethics and the smart circular economy

Hoyng

2023

Big Data & Society

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The corporate discourse on the circular economy holds that the growth of the electronics industry, driven by continuous innovation, does not imperil ecological sustainability. To achieve sustainable growth, its advocates propose optimizing recycling by means of artificial intelligence and sets of interrelated datacentric and algorithmic technologies. Drawing on critical data and algorithm studies, theories of waste, and empirical research, this paper investigates ecological ethics in the context of the datacentric and algorithmically mediated circular economy. It foregrounds the indeterminate and fickle material nature of waste as well as the uncertainties inherent in, and stemming from, datafication and computation. My question is: how do the rationalities, affordances, and dispositions of datacentric and algorithmic technologies perform and displace notions of corporate responsibility and transparency? In order to answer this question, I compare the smart circular economy to the informal recycling practices that it claims to replace, and I analyze relations between waste matter and data as well as distributions of agency. Specifically, I consider transitions and slippages between response-ability and responsibility. Conceptually, I bring process-relation or immanence-based philosophies such as Bergson's and Deleuze's into a debate about relations between waste matter and data and the ambition of algorithmic control over waste. My aim is not to demand heightened corporate responsibility enacted through control but to rethink responsibility in the smart circular economy along the lines of Amoore's cloud ethics to carve out a position of critique beyond either a deontological perspective that reinforces corporate agency or new-materialist denunciation of the concept.

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“… 16 Le terme d’assemblage est ici emprunté à DeLanda (2019). Il est déjà repris pour parler d’algorithmes dans Gordon, Rieder, and Sileno (2022). …”

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Mesurer l’empreinte antisémite sur YouTube

Tainturier,

de Dampierre,

Cardon

2023

Bulletin of Sociological Methodology/Bulletin de Méthodologie S

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Cet article propose une approche exploratoire visant à mesurer l’empreinte du discours antisémite sur les chaînes d’information et d’actualité de YouTube en France. Devant la complexité et la polysémie du phénomène étudié, une approche par « empreinte » a en effet été privilégiée, s’appuyant sur des méthodes de machine learning et l’entrainement d’un outil de traitement automatique du langage. Il apparaît que cet outil, imparfait, mais ouvrant de nombreuses pistes méthodologiques quant à l’étude des discours de haine, détecte un antisémitisme peu prévalent, mais surreprésenté dans les espaces numériques liés à la droite radicale.

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On mapping values in AI Governance

Cited by 8 publications

References 0 publications

The corporate path to green innovation: does the digital economy matter?

The corporate path to green innovation: does the digital economy matter?

Ecological ethics and the smart circular economy

Mesurer l’empreinte antisémite sur YouTube

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