Fiction meets fact: exploring human-machine convergence in today’s cinematographic culture

Q1 Social Sciences
i-com Pub Date : 2024-05-16 DOI:10.1515/icom-2024-0012
Christoph Endres, Frederic Frieß, Isabella Hermann
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引用次数: 0

Abstract

This article explores the theme of human-machine convergence as portrayed in modern science fiction movies and TV/streaming series and compares them to real-world advancements in robotics, artificial intelligence (AI), and virtual reality (VR). It examines how science fiction often depicts humanoid robots and AI with human-like emotions and intentions, contrasting with the actual technological challenges and ethical considerations in developing intelligent machines. The text discusses the evolution of humanoid robots from fictional portrayals to real-life examples like Boston Dynamics’ Atlas and Tesla’s Optimus. The paper also explores the reverse interaction, where humans become avatars in virtual worlds, and briefly discusses the ethical implications of simulating deceased individuals in digital form. Through this examination, the paper emphasizes the complexity of human-machine convergence and the importance of considering social, ethical, and emotional aspects in technological progress. It concludes by suggesting that while science fiction provides insights into societal fears and hopes regarding technology and thus into ethical and regulative necessities, the real trajectory of human-machine convergence cannot be predicted through film but will be determined by ongoing and after all incidental developments in the real world.
虚构与事实:探索当今电影文化中的人机融合
本文探讨了现代科幻电影和电视/流媒体系列中描绘的人机融合主题,并将其与现实世界中机器人技术、人工智能(AI)和虚拟现实(VR)的进步进行了比较。它探讨了科幻小说如何经常描绘具有人类情感和意图的仿人机器人和人工智能,并与开发智能机器的实际技术挑战和伦理考虑形成对比。文中讨论了仿人机器人从小说描写到波士顿动力公司的阿特拉斯(Atlas)和特斯拉的擎天柱(Optimus)等现实生活中的例子的演变过程。本文还探讨了反向互动,即人类成为虚拟世界中的化身,并简要讨论了以数字形式模拟已故个人所涉及的伦理问题。通过这一研究,本文强调了人机融合的复杂性,以及在技术进步中考虑社会、伦理和情感因素的重要性。文章最后指出,虽然科幻小说让人们了解到社会对技术的恐惧和希望,从而了解到伦理和监管的必要性,但人机融合的真正轨迹无法通过电影来预测,而将由现实世界中持续不断的发展来决定。
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
i-com
i-com Social Sciences-Communication
CiteScore
3.80
自引率
0.00%
发文量
24
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