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AI and ethics最新文献

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Automated ethical decision, value-ladenness, and the moral prior problem 自动伦理决策、价值倾向性和道德先验问题
Pub Date : 2024-06-05 DOI: 10.1007/s43681-024-00482-x
Clayton Peterson
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引用次数: 0
How to gain control and influence algorithms: contesting AI to find relevant reasons 如何获得控制权并影响算法:与人工智能较量,寻找相关原因
Pub Date : 2024-06-05 DOI: 10.1007/s43681-024-00500-y
S. K. Kuilman, L. C. Siebert, Stefan Buijsman, C. Jonker
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引用次数: 0
A comprehensive study on navigating neuroethics in Cyberspace 网络空间神经伦理导航综合研究
Pub Date : 2024-05-02 DOI: 10.1007/s43681-024-00486-7
Ms. Kritika

The booming landscape of multidisciplinary studies, namely, neuroscience, ethics and cyber security brings into focus the emerging need of developing ethical standards for neural data to the implemented safely in the domain of cyberspace. The synergy between neuroscience and cybersecurity emphasizes the transformative potential of technologies like BCI, EEG, FMRI, MEG etc. highlighting the ethical imperative to bring to light the issues of privacy, autonomy, individual’s right, and security of their neural data. The paper delves into the question of delicacy of neuro data as an emerging concern for cyber professionals as well as individuals to safeguard from the emerging threats of phishing, brain jacking, vishing and implementing proper guidelines and framework to have informed consent before going ahead with their confidential data which can otherwise be misused at the hands of cybercriminals.

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引用次数: 0
AI for all: Diversity and Inclusion in AI 人人享有人工智能:人工智能领域的多样性和包容性
Pub Date : 2024-05-02 DOI: 10.1007/s43681-024-00485-8
Didar Zowghi, Muneera Bano
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引用次数: 0
AI ethics should be mandatory for schoolchildren 人工智能伦理应成为学童的必修课
Pub Date : 2024-04-04 DOI: 10.1007/s43681-024-00462-1
Hossein Dabbagh, Brian D. Earp, Sebastian Porsdam Mann, Monika Plozza, Sabine Salloch, Julian Savulescu

As society increasingly integrates artificial intelligence (AI) into its fabric, AI ethics education in primary schools becomes necessary. Drawing parallels between the integration of foundational subjects such as languages and mathematics and the pressing need for AI literacy, we argue for mandatory, age-appropriate AI education focusing on technical proficiency and ethical implications. Analogous to how sex and drug education prepare youth for real-world challenges and decisions, AI education is crucial for equipping students to navigate an AI-driven future responsibly. Our study delineates the ethical pillars, such as data privacy and unbiased algorithms, essential for students to grasp, and presents a framework for AI literacy integration in elementary schools. What is needed is a comprehensive, dynamic, and evidence-based approach to AI education, to prepare students for an AI-driven future.

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引用次数: 0
Real-time weather monitoring and desnowification through image purification 通过图像净化实现实时天气监测和除雪
Pub Date : 2024-04-02 DOI: 10.1007/s43681-024-00418-5
Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri

Object detection and tracking are essential for reliable decision-making in modern applications, such as self-driving cars, drones, and industry. Adverse weather can hinder object detectability and pose a threat to the reliability of these systems. As a result, there is an increasing need for efficient image denoising and restoration techniques. In this study, we investigate the use of image purification as a means of defending against weather corruptions. Specifically, we focus on the effect of snow on an object detector and the benefits of efficient desnowification. We find that the performance of a strong image purifying baseline (PreNet) is not constant across different levels of snow intensity, leading to a reduced overall performance in diverse situations. Through extensive experimentation, we demonstrate that adding a lightweight snow detector significantly improves the overall object detection performance without needing to modify the purification model. Our proposed weather-robust architecture exhibits a 40% performance improvement compared to a strong image purification baseline on the gas cylinder counting task. In addition, it leads to significant reductions of the computational power required to run the purification pipeline with a minimal added cost.

物体检测和跟踪对于自动驾驶汽车、无人机和工业等现代应用中的可靠决策至关重要。恶劣天气会阻碍物体的可探测性,并对这些系统的可靠性构成威胁。因此,对高效图像去噪和修复技术的需求与日俱增。在本研究中,我们研究了使用图像净化作为抵御天气破坏的一种手段。具体来说,我们重点研究了雪对物体检测器的影响以及高效去噪的益处。我们发现,强图像净化基线(PreNet)的性能在不同的雪强水平下并不恒定,导致在不同情况下整体性能下降。通过大量实验,我们证明,添加一个轻量级雪检测器可显著提高整体目标检测性能,而无需修改净化模型。在气瓶计数任务中,我们提出的全天候架构与强图像净化基线相比,性能提高了 40%。此外,它还显著降低了运行净化管道所需的计算能力,而增加的成本却微乎其微。
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引用次数: 0
‘Hypernudging’: a threat to moral autonomy? 过度哺乳":对道德自主的威胁?
Pub Date : 2024-03-28 DOI: 10.1007/s43681-024-00449-y
Isabel Richards
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引用次数: 0
Governing AI through interaction: situated actions as an informal mechanism for AI regulation 通过互动管理人工智能:情景行动作为人工智能监管的非正式机制
Pub Date : 2024-03-27 DOI: 10.1007/s43681-024-00446-1
G. Papyshev
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引用次数: 0
Anthropomorphism and AI hype 拟人化与人工智能炒作
Pub Date : 2024-03-25 DOI: 10.1007/s43681-024-00454-1
Nicholas Barrow
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引用次数: 0
Investigating fairness in machine learning-based audio sentiment analysis 调查基于机器学习的音频情感分析的公平性
Pub Date : 2024-03-25 DOI: 10.1007/s43681-024-00453-2
S. Luitel, Yang Liu, Mohd Anwar
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引用次数: 0
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AI and ethics
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