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THE ROLE OF 5G IN AUTONOMOUS VEHICLES 5G 在自动驾驶汽车中的作用
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v9i1.27
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引用次数: 0
Ethical Considerations in AI: Navigating Bias, Fairness, and Accountability 人工智能的伦理考量:驾驭偏见、公平和问责
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v10i1.22
Rahul Jain, Deepti Pathak, Manav Chandan, Rigveda Convent, Hr. Sec. School Kathua
: The reconciliation of man-made reasoning (artificial intelligence) and enormous information examination in dynamic cycles has introduced another period of mechanical headways and extraordinary abilities across different areas. Notwithstanding, this expanding collaboration has likewise caused a corresponding ascent in moral quandaries and contemplations. This examination article explores the complex scene of moral issues in man-made intelligence fueled direction, with a specific accentuation on the moral contemplations related with large information driven choice cycles. Drawing from an extensive survey of the current writing, this article enlightens the different moral systems pertinent to man-made intelligence and enormous information morals. It takes apart unambiguous moral issues that arise with regards to computer based intelligence navigation, including algorithmic predisposition, straightforwardness, and responsibility, while likewise investigating the unpredictable moral contemplations involved in the assortment and use of huge information, like information protection, security, and informed assent. To empirically investigate the scope and repercussions of these ethical quandaries, the study employs a mixed-method approach that combines qualitative and quantitative data analysis. The discoveries highlight the squeezing need to create and carry out moral structures to direct artificial intelligence and huge information navigation, as well as to propose useful suggestions for alleviating these moral difficulties.
:人工推理(人工智能)与海量信息检查在动态循环中的调和,为不同领域带来了新一轮的机械进步和非凡能力。尽管如此,这种不断扩大的合作同样引起了相应的道德问题和思考。本文探讨了人工智能推动下的复杂道德问题,特别强调了与大型信息驱动选择循环相关的道德思考。通过对现有文献的广泛调查,本文揭示了与人工智能和海量信息道德相关的不同道德体系。文章剖析了计算机智能导航中出现的明确的道德问题,包括算法预设、直接性和责任,同时还研究了海量信息的分类和使用中涉及的不可预知的道德思考,如信息保护、安全和知情同意。为了对这些道德难题的范围和影响进行实证调查,本研究采用了一种混合方法,将定性和定量数据分析相结合。这些发现凸显了创建和实施道德结构以指导人工智能和海量信息导航的迫切需求,同时也为缓解这些道德难题提出了有益的建议。
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引用次数: 0
3D Printing in the Food Industry 食品工业中的 3D 打印技术
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v9i1.26
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引用次数: 0
Ethics in AI: Bias, Fairness, and Accountability 人工智能伦理:偏见、公平与问责
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v10i1.9
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引用次数: 0
Data privacy challenges and regulatory responses in cross-border cryptocurrencytransactions: A comparative analysis 跨境加密货币交易中的数据隐私挑战和监管对策:比较分析
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v13i4.4479
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引用次数: 0
Natural Language Processing (NLP) for Code in Python 用 Python 编写代码的自然语言处理 (NLP)
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v9i1.24
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引用次数: 0
MAPPING GENDER BASED VIOLENCE FROM THE LENS OF HUMAN RIGHTS FRAMEWORK IN INDIA 从印度人权框架的视角看基于性别的暴力问题
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v13i2.50
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引用次数: 0
Hydrogen Energy Storage Systems 氢储能系统
Pub Date : 2024-03-01 DOI: 10.48047/resmil.v10i1.7
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引用次数: 0
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