人工智能技术的诈骗方式一般采用哪些人工智能技术

欧洲议会和欧盟理事会规定人工智能的统一规则，并修正300/2008号、167/2013号、168/2013号、2018/858号、2018/1139号和2019/214号条例以及2014/90/EU号、2016/797号和20(29)人工智能的操纵技术可被用来劝说人们做出不想从事的行为,或通过诱导其做出决定来对其加以欺骗,从而颠覆和损害他们的自主、决策和自由选择。在市场上投放、提供服务或使用特定的人工智能系统,其目的或效果是实质性地扭曲人的行为,从而可能造成重大的伤害,特别是对身体、心理健康或经济利益产生足够重要的不利影响,这是特别危险的,因此应予禁止。这类人工智能系统采用潜意识的成分,例如人们无法感知的音频、图像、视频刺激,因为这些刺激超出了人的感知范围,或者采用其他操纵或欺骗技术,以人们无法意识到的方式颠覆或损害人的自主、决策或自由选择,或者即使意识到了,人们仍然被欺骗,或者无法控制或抵制。例如,脑机界面或虚拟现实就可能促进这种情况的发生,因其允许对呈现给人的刺激进行更大程度的控制,这些刺激可能相应地以明显有害的方式实质性地扭曲人的行为。此外,人工智能系统还可能以其他方式利用个人或特定群体由于年龄、欧洲议会和理事会2019/882号指令17所指的残疾或特定的社会或经济状况,相应社会或经济状况可能使得这些人更容易受到剥削,例如生活在极端贫困中的人、少数民族或宗教少数群体。此类人工智能系统可被投放市场、提供服务或加以使用,其目的或效果是实质性地扭曲个人的行为,并对该人或其他个人或群体造成,或者有合理可能性地造成重大的危害,包括可能长期累积的危害,因此应予禁止。如果扭曲行为是人工智能系统之外的因素造成的,而这些因素又不在提供者或部署者的控制范围之内,也就是说,人工智能系统的提供者或部署者可能无法合理地预见和缓解这些因素,则可能无法推定有扭曲行为的意图。在任何情况下

Many people have experienced how computers can translate between languages,interpret images and even conduct reasonable conversations.What is perhaps less well known is that this type of technology has long been important for research,including the sorting and analysis of vast amounts of data.The development of machine learning has exploded over the past fifteen to twenty years and utilises a structure called an artificial neural network.Nowadays,when we talk about artificial intelligence,this is often the type of technology we mean.许多人经历过电脑如何在语言间翻译，解释图像，甚至进行合理的对话。或许不太为人所知的是，这种技术长期以来一直在研究中很重要，包括对大量数据的分类和分析。机器学习的发展在过去15到20年中爆发式增长，并利用了一种称为人工神经网络的结构。如今，当我们谈论人工智能时，这通常就是我们所指的技术类型。Although computers cannot think,machines can now mimic functions such as memory and learning.This year’s laureates in physics have helped make this possible.Using fundamental concepts and methods from physics,they have developed technologies that use structures in networks to process information.尽管计算机无法思考，但机器现在可以模仿诸如记忆和学习等功能。今年的物理学奖得主帮助实现了这一点。他们利用物理学的基本概念和方法，开发了使用网络结构来处理信息的技术。

Require that developers of the most powerful AI systems share their safety test results and other critical information with the U.S.government.In accordance with the Defense Production Act,the Order will require that companies developing any foundation model that poses a serious risk to national security,national economic security,or national public health and safety must notify the federal government when training the model,and must share the results of all red-team safety tests.These measures will ensure AI systems are safe,secure,and trustworthy before companies make them public.Develop standards,tools,and tests to help ensure that AI systems are safe,secure,and trustworthy.The National Institute of Standards and Technology will set the rigorous standards for extensive red-team testing to ensure safety before public release.The Department of Homeland Security will apply those standards to critical infrastructure sectors and establish the AI Safety and Security Board.The Departments of Energy and Homeland Security will also address AI systems’ threats to critical infrastructure,as well as chemical,biological,radiological,nuclear,and cybersecurity risks.Together,these are the most significant actions ever taken by any government to advance the field of AI safety.Protect against the risks of using AI to engineer dangerous biological materials by developing strong new standards for biological synthesis screening.Agencies that fund life-science projects will establish these standards as a condition of federal funding,creating powerful incentives to ensure appropriate screening and manage risks potentially made worse by AI.Protect Americans from AI-enabled fraud and deception by establishing standards and best practices for detecting AI-generated content and authenticating official content.The Department of Commerce will develop guidance for content authentication and watermarking to clearly label AI-generated content.Federal agencies will use these tools to make it easy for Americans to know that the communications they receive from their government are authentic—and set an example for the private sector and governments around the world.