玩大脑:DishBrain中的硅感知和混合智能带来的伦理挑战。

IF 2.7 2区 哲学 Q1 ENGINEERING, MULTIDISCIPLINARY Science and Engineering Ethics Pub Date : 2023-10-26 DOI:10.1007/s11948-023-00457-x
Stephen R Milford, David Shaw, Georg Starke
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引用次数: 0

摘要

人类和人工智能的融合目前正受到相当多的学术关注。关于由此产生的混合思维的许多争论集中在人工智能进入临床使用时,通过智能脑机接口将其整合到人脑中。在这篇文章中,我们讨论了一个互补的发展:将人类神经元的功能性体外网络集成到计算机环境中。为了做到这一点,我们借鉴了最近一项关于创建计算机生物智能的实验作为案例研究(Kagan等人,2022b)。在这个实验中,用干细胞衍生的人类神经元覆盖多电极阵列,创建了一个作者称之为DishBrain的系统。通过将该系统嵌入虚拟游戏世界,神经集群能够接收来自游戏世界的电输入信号,并对来自预先分配的运动区域的输出信号做出适当响应。使用这个设计,作者展示了DishBrain是如何自我组织并成功学习玩电脑游戏“Pong”的,在其虚拟环境中表现出“感知”和智能行为。这种混合的、计算机生物智能的创造提出了许多伦理挑战。根据作者自己所接受的神经科学框架,我们讨论了在卡尔·弗里斯顿的自由能原理的背景下出现的伦理挑战,重点是创造合成现象学的风险。根据DishBrain创始人的神经科学假设,我们强调了DishBraine的设计可能会带来人为痛苦的风险,并主张对这种合成生物智能采取一致谨慎的方法。
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Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain.

The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent brain-computer interfaces as they enter clinical use. In this contribution we discuss a complementary development: the integration of a functional in vitro network of human neurons into an in silico computing environment.To do so, we draw on a recent experiment reporting the creation of silico-biological intelligence as a case study (Kagan et al., 2022b). In this experiment, multielectrode arrays were plated with stem cell-derived human neurons, creating a system which the authors call DishBrain. By embedding the system into a virtual game-world, neural clusters were able to receive electrical input signals from the game-world and to respond appropriately with output signals from pre-assigned motor regions. Using this design, the authors demonstrate how the DishBrain self-organises and successfully learns to play the computer game 'Pong', exhibiting 'sentient' and intelligent behaviour in its virtual environment.The creation of such hybrid, silico-biological intelligence raises numerous ethical challenges. Following the neuroscientific framework embraced by the authors themselves, we discuss the arising ethical challenges in the context of Karl Friston's Free Energy Principle, focusing on the risk of creating synthetic phenomenology. Following the DishBrain's creator's neuroscientific assumptions, we highlight how DishBrain's design may risk bringing about artificial suffering and argue for a congruently cautious approach to such synthetic biological intelligence.

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来源期刊
Science and Engineering Ethics
Science and Engineering Ethics 综合性期刊-工程:综合
CiteScore
10.70
自引率
5.40%
发文量
54
审稿时长
>12 weeks
期刊介绍: Science and Engineering Ethics is an international multidisciplinary journal dedicated to exploring ethical issues associated with science and engineering, covering professional education, research and practice as well as the effects of technological innovations and research findings on society. While the focus of this journal is on science and engineering, contributions from a broad range of disciplines, including social sciences and humanities, are welcomed. Areas of interest include, but are not limited to, ethics of new and emerging technologies, research ethics, computer ethics, energy ethics, animals and human subjects ethics, ethics education in science and engineering, ethics in design, biomedical ethics, values in technology and innovation. We welcome contributions that deal with these issues from an international perspective, particularly from countries that are underrepresented in these discussions.
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