On social machines for algorithmic regulation

Cristianini, Nello; Scantamburlo, Teresa

doi:10.1007/s00146-019-00917-8

Cited by 24 publications

(14 citation statements)

References 24 publications

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“…These systems are likely to be used in administration, education, and governance. Various proposals to use them for social regulations have been reviewed in (Cristianini and Scantamburlo 2019).…”

Section: Discussionmentioning

confidence: 99%

“…This combination of databases, learning algorithms, and participants is a SM, and is in many cases autonomous, in the sense of not being controlled by any other system, including its designer. Recent concerns about the fairness of intelligent systems have been traced to the social origins of their training data, showing that their behaviour may be less predictable and less controllable than their makers might have hoped (e.g., Cristianini and Scantamburlo 2019;Sutton et al 2018;Jonauskaite et al 2021;Caliskan et al 2017).…”

Section: The Social Turn In the Field Of Aimentioning

confidence: 99%

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The social turn of artificial intelligence

2021

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Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behaviour. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms can be regarded as instances of this class of agent. We argue that autonomous social machines provide a new paradigm for the design of intelligent systems, marking a new phase in AI. After describing the characteristics of goal-driven social machines, we discuss the consequences of their adoption, for the practice of artificial intelligence as well as for its regulation.

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Section: Discussionmentioning

confidence: 99%

Section: The Social Turn In the Field Of Aimentioning

confidence: 99%

The social turn of artificial intelligence

2021

Self Cite

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“…Although researchers have largely analyzed socio-algorithmic systems as social machines (Smart and Shadbolt 2015;Shadbolt et al 2019;Hendler and Berners-Lee 2010;Buregio et al 2013;Cristianini and Scantamburlo 2019), no efforts have been made to analyze the politics of these systems under a similar framework. Studies predominately focus on investigating the politics of separate parts of these systems, such as legislation, algorithmic function, or user behaviour.…”

Section: Motivationmentioning

confidence: 99%

Political machines: a framework for studying politics in social machines

Papakyriakopoulos

2021

AI & Soc

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In the age of ubiquitous computing and artificially intelligent applications, social machines serves as a powerful framework for understanding and interpreting interactions in socio-algorithmic ecosystems. Although researchers have largely used it to analyze the interactions of individuals and algorithms, limited attempts have been made to investigate the politics in social machines. In this study, I claim that social machines are per se political machines, and introduce a five-point framework for classifying influence processes in socio-algorithmic ecosystems. By drawing from scholars from political theory, I use a notion of influence that functions as a meta-concept for connecting and comparing different conceptions of politics. In this way, I can associate multiple political aspects of social machines from a cybernetic perspective. I show that the framework efficiently categorizes dimensions of influence that shape interactions between individuals and algorithms. These categories are symbolic influence, political conduct, algorithmic influence, design, and regulatory influence. Using case studies, I describe how they interact with each other on online social networks and in algorithmic decision-making systems and illustrate how the framework is able to guide scientists in further research.

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“…The famous American constitutionalist Balkin (2017) defines the algorithmic society as a society organized around social and economic decision-making by algorithms, robots, and AI agents with a renewed vigour for the three laws of robotics by Isaac Asimov. Some authors, referring to cybernetics and the concept of 'black box', call it Black society (Pasquale 2015), others prefer to discuss 'algorithmic regulation' starting from the concept of AI as 'social machine' (Cristianini and Scantamburlo 2020).…”

Section: The Rise Of Algorithmic Society: a Narrative Of The Pastmentioning

confidence: 99%

What is the role of culture facing the digital revolution challenge? Some reflections for a research agenda

Lazzeretti

2020

European Planning Studies

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The article aims to explore the dialectic relationship between digital transformation and societal changes through a cultural and creative approach. The debate between an algorithmic society representation (as a narrative of the past) and a new strategic role of culture (as a narrative of the future) is still largely unexplored. In order to achieve the purpose of the research, the article wants to respond to the following research questions: what is the role of culture facing in the digital revolution? What opportunities and threats are created for the enhancement and preservation of culture and creativity? An open conversation in formal and informal environments has been mobilized from September 2018 until February 2020 with scientists and humanists following a narrative approach. The reflections derived and a comprehensive analysis of the literature on AI and data science have led to a review of models of culture-driven economic development. We propose a new research agenda for the preservation and enhancement of culture able to frame the opportunities and face the threats of the digital revolution.

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On social machines for algorithmic regulation

Cited by 24 publications

References 24 publications

The social turn of artificial intelligence

The social turn of artificial intelligence

Political machines: a framework for studying politics in social machines

What is the role of culture facing the digital revolution challenge? Some reflections for a research agenda

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