•  56
    The social turn of artificial intelligence
    AI and Society (online): 0. 2021.
    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 behavior. 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. …Read more
  •  1
    "A collection of critical essays dealing with the social and ethical impacts of AI including issues of trust, reliability, and bias"--
  •  12
    On social machines for algorithmic regulation
    AI and Society 35 (3): 645-662. 2020.
    Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of ‘social machine’ and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler,…Read more
  •  17
    Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of 'social machine' and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler,…Read more
  •  39
    Machine Decisions and Human Consequences
    with Andrew Charlesworth and Nello Cristianini
    In Karen Yeung & Martin Lodge (eds.), Algorithmic Regulation, Oxford University Press. 2019.
    As we increasingly delegate decision-making to algorithms, whether directly or indirectly, important questions emerge in circumstances where those decisions have direct consequences for individual rights and personal opportunities, as well as for the collective good. A key problem for policymakers is that the social implications of these new methods can only be grasped if there is an adequate comprehension of their general technical underpinnings. The discussion here focuses primarily on the cas…Read more
  •  783
    Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) ca…Read more
  •  13
    Machine learning in decisional process
    Acm Sigcas Computers and Society 45 (3): 218-224. 2015.
    In this paper we would like to undertake a critical examination of machine learning in the context of data revolution. Starting from the existing literature, which has in fact highlighted potential risks both at the epistemological and ethical level, we will try to suggest the main limitations of an intensive application of machine learning to decision making. Our discussion we will make direct reference to Satosi Watanabe, whose contribution springs from a genuine reflection on machine learning…Read more