Infosphere, Datafication, and Decision-Making Processes in the AI Era.

IF 1.3 2区 哲学 0 PHILOSOPHY
Andrea Lavazza, Mirko Farina
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引用次数: 2

Abstract

A recent interpretation of artificial intelligence (AI) (Floridi 2013, 2022) suggests that the implementation of AI demands the investigation of the binding conditions that make it possible to build and integrate artifacts into our lived world. Such artifacts can successfully interact with the world because our environment has been designed to be compatible with intelligent machines (such as robots). As the use of AI becomes ubiquitous in society, possibly leading to the formation of increasingly intelligent bio-technological unions, there will likely be a coexistence of a plethora of micro-environments wrapped and tailored around humans and basic robots. The key element of this pervasive process will be the capacity to integrate biological realms in an infosphere suitable for the implementation of AI technologies. This process will require extensive datafication. This is because data is the basis of the logical-mathematical codes and models that drive and guide AI. This process will have huge consequences on workplaces, on workers, as well as on the decision-making processes required for the functioning of future societies. In this paper we will offer a comprehensive reflection on the moral and social implications of datafication as well as a set of considerations about its desirability, which will be informed by the following insights: (1) full protection of privacy may become structurally impossible, thus leading to undesirable forms of political and social control; (2) worker's freedom may be reduced; (3) human creativity, imagination, and even divergence from AI logic might be channeled and possibly discouraged; (4) there will likely be a push towards efficiency and instrumental reason, which will become preeminent in production lines as well as in society.

人工智能时代的信息圈、数据化和决策过程。
最近对人工智能(AI)的一项解释(Floridi 20132022)表明,人工智能的实现需要调查绑定条件,这些绑定条件使人工智能能够构建并集成到我们的生活世界中。这样的人工制品可以成功地与世界互动,因为我们的环境被设计成与智能机器(如机器人)兼容。随着人工智能在社会中的应用变得无处不在,可能导致越来越智能的生物技术联盟的形成,围绕人类和基本机器人的大量微环境可能会共存。这一普遍过程的关键要素将是在适合实施人工智能技术的信息领域整合生物领域的能力。这一过程将需要大量的数据处理。这是因为数据是驱动和指导人工智能的逻辑数学代码和模型的基础。这一过程将对工作场所、工人以及未来社会运作所需的决策过程产生巨大影响。在本文中,我们将全面反思数据化的道德和社会影响,以及对其可取性的一系列考虑,这些考虑将从以下见解中得到启示:(1)充分保护隐私可能在结构上变得不可能,从而导致不可取的政治和社会控制形式;(2) 工人的自由可能会减少;(3) 人类的创造力、想象力,甚至与人工智能逻辑的分歧可能会被引导,甚至可能被劝阻;(4) 很可能会朝着效率和工具理性的方向发展,这将在生产线和社会中变得尤为突出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
7.10%
发文量
47
期刊介绍: Topoi''s main assumption is that philosophy is a lively, provocative, delightful activity, which constantly challenges our received views, relentlessly questions our inherited habits, painstakingly elaborates on how things could be different, in other stories, in counterfactual situations, in alternative possible worlds. Whatever its ideology, whether with the intent of uncovering a truer structure of reality or of soothing our anxiety, of exposing myths or of following them through, the outcome of philosophical activity is always the destabilizing, unsettling generation of doubts, of objections, of criticisms. It follows that this activity is intrinsically a ''dialogue'', that philosophy is first and foremost philosophical discussion, that it requires bringing out conflicting points of view, paying careful, sympathetic attention to their structure, and using this dialectic to articulate one''s approach, to make it richer, more thoughtful, more open to variation and play. And it follows that the spirit which one brings to this activity must be one of tolerance, of always suspecting one''s own blindness and consequently looking with unbiased eye in every corner, without fearing to pass a (fallible) judgment on what is there but also without failing to show interest and respect. Topoi''s structure is a direct expression of this view. To maximize discussion, we devote most or all of this issue to a single topic. And, since discussion is only interesting when it is conducted seriously and responsibly, we usually request the collaboration of a guest-editor, an expert who will identify contributors and interact with them in a constructive way. Because we do not feel tied to any definite philosophical theme (or set of them), we choose the topic with absolute freedom, looking for what is blossoming and thriving, occasionally betting on what might - partly through our attention - ''begin'' to blossom and thrive. And because we do not want our structur e to become our own straightjacket, we are open to contributions not fitting the ''topos'', and do not rule out in principle the possibility of topic-less issues.
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