Policies of Artificial Intelligence in the EU: Learning Curve from the UK and China?

Ms. Tanzeela Jameel, Dr. Adam Saud
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Abstract

Artificial Intelligence (AI) can be traced back to John McCarthy who is considered as one of the pioneers of the AI discipline. 1 AI has emerged as one of the most important realities in the first quarter of the 21 st century. AI is being used in many industries including healthcare, production and manufacturing, military modernization, etc. Whereas there are many benefits of AI, it has its drawbacks as well. There is always a possibility that technology getting into the wrong hands. This malicious use of AI is commonly known as “adversarial AI”, which cannot just cause financial loss to countries but also increase the ratio of cybercrimes. This work sheds light on the impact of adversarial AI from the point of view of governance. More specifically, it takes a detailed look at the AI policies of the European Union (EU) and identifies different cyber-security loopholes. Based on some recent events, this study also highlights the role of adversarial AI in promoting cybercrimes in the form of phishing and data breach attacks in the EU. Finally, we provide arguments on how the EU can learn from some countries, like China and the UK, in order to strengthen its AI policies.
欧盟的人工智能政策:英国和中国的学习曲线?
人工智能(AI)可以追溯到约翰·麦卡锡,他被认为是人工智能学科的先驱之一。人工智能已经成为21世纪头25年最重要的现实之一。人工智能正被应用于许多行业,包括医疗保健、生产制造、军事现代化等。尽管人工智能有很多好处,但它也有缺点。技术总是有可能落入坏人之手。这种对人工智能的恶意利用通常被称为“对抗性人工智能”,不仅给国家造成经济损失,还会增加网络犯罪的比例。这项工作从治理的角度阐明了对抗性人工智能的影响。更具体地说,它详细研究了欧盟(EU)的人工智能政策,并确定了不同的网络安全漏洞。基于最近发生的一些事件,本研究还强调了对抗性人工智能在促进欧盟网络钓鱼和数据泄露攻击形式的网络犯罪方面的作用。最后,我们就欧盟如何向中国和英国等国家学习,以加强其人工智能政策提供了论据。
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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