9,883 research outputs found

    Theory, reality, and possibilities for a digital/communicative socialist network society

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    Digital capitalism is guided by the organising principles of digital automation, information processing, and communication. It rests on the consolidation of relations of exploitation of digital labour based on flexibility and generating precarity. It makes profit from user data under conditions of surveillance. What would an alternative paradigm look like? This paper aims to sketch a possible socialist society resting on digital technology but organised on a different logic, namely that of autonomous production, leisure, and social engagement. It draws on relevant theories of the Left, evaluates them against the reality of digital capitalism, and suggests structural and user practice alternatives that can pave the way towards a digital/communicative socialism. This paper engages with the works of Czech philosopher Radovan Richta (1924-1983) and Austrian-French philosopher André Gorz (1923-2007). It shows that their ideas on the scientific and technological revolution and post-industrial socialism are highly relevant for the analysis and discussion of digital/communicative socialism

    Philosophical Aspects of Big Data

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    Big Data can generate, through inferences, new knowledge and perspectives. The paradigm that results from using Big Data creates new opportunities. Big Data has great influence at the governmental level, positively affecting society. These systems can be made more efficient by applying transparency and open governance policies, such as Open Data. After developing predictive models for target audience behavior, Big Data can be used to generate early warnings for various situations. There is thus a positive feedback between research and practice, with rapid discoveries taken from practice. DOI: 10.13140/RG.2.2.14677.1712

    Communicative Socialism/Digital Socialism

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    Strange Loops: Apparent versus Actual Human Involvement in Automated Decision-Making

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    The era of AI-based decision-making fast approaches, and anxiety is mounting about when, and why, we should keep “humans in the loop” (“HITL”). Thus far, commentary has focused primarily on two questions: whether, and when, keeping humans involved will improve the results of decision-making (making them safer or more accurate), and whether, and when, non-accuracy-related values—legitimacy, dignity, and so forth—are vindicated by the inclusion of humans in decision-making. Here, we take up a related but distinct question, which has eluded the scholarship thus far: does it matter if humans appear to be in the loop of decision-making, independent from whether they actually are? In other words, what is stake in the disjunction between whether humans in fact have ultimate authority over decision-making versus whether humans merely seem, from the outside, to have such authority? Our argument proceeds in four parts. First, we build our formal model, enriching the HITL question to include not only whether humans are actually in the loop of decision-making, but also whether they appear to be so. Second, we describe situations in which the actuality and appearance of HITL align: those that seem to involve human judgment and actually do, and those that seem automated and actually are. Third, we explore instances of misalignment: situations in which systems that seem to involve human judgment actually do not, and situations in which systems that hold themselves out as automated actually rely on humans operating “behind the curtain.” Fourth, we examine the normative issues that result from HITL misalignment, arguing that it challenges individual decision-making about automated systems and complicates collective governance of automation

    The regulation of the body by smart wearable devices and their social risk progression

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    Smart wearable devices, as one of the directions of smart terminal development, show great potential for application and penetrate into all aspects of social life. In the application of smart wearable devices, the features of body discipline such as obtaining body data precisely to complete quantified self, human–computer interaction from explicit interaction to implicit interaction, and monitoring of the body from expert dependence to technological dependence and the new human–computer relationship hidden behind them are increasingly highlighted, and the social risk concerns of smart wearable device application will also come into play, which will lead to personal privacy leakage and technological risks. The social risks arising from the disclosure of personal privacy and technological risks, the loss of human subjectivity and the degradation of working capacity, the distortion of social life and the difficulties of social interaction, the deepening of the digital divide and the widening gap between the rich and the poor, the formation of a “digital leviathan” and the potential for public safety, etc., should be of sufficient concern to society

    The Issues and Optimization Strategies in the Modernization of Vocational Education in the Era of Chat GPT

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    The emergence of Chat GPT technology represents a significant breakthrough in natural language processing, revolutionizing human-machine interaction and presenting profound challenges to vocational education modernization in China. In the Chat GPT era, vocational education undergoes transformative changes, including personalized learning reaching new heights, big data-driven intelligent decision-making entering a new phase, and the integration of education resources on unprecedented scales. However, this modernization effort also encounters several critical issues, such as overreliance on technology and the associated risks of unemployment, threats to data privacy and security, erosion of ethical values, and the widening digital divide in education. To ensure the high-quality development of vocational education modernization with the support of artificial intelligence tools like Chat GPT, it is crucial to enhance supervision and regulation of Chat GPT technology applications, promoting its safe and responsible use. Moreover, prioritizing technology ethics and moral education becomes imperative to nurture students’ ethical awareness and moral compass in the utilization and development of technology. Lastly, optimizing the distribution of digital educational resources is essential to promote educational equity and bridge the digital divide among students
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