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在《促进创新的人工智能监管方法》中提到，人工智能在没有政府监管行动的情况下，可能会给个人、组织和关键基础设施带来一系列新的安全风险，例如造成和放大歧视，导致司法系统的不公平，对隐私和人类尊严构成威胁，损害基本自由，威胁民主和英国价值观。同时，当前规范某些人工智能应用的法律框架可能无法充分解决其带来的风险，如生成式人工智能用于生成深度伪造的色情视频内容，可能损害主体的声誉、关系和尊严；基于大语言模型技术的人工智能助手推荐危险活动，使用户遭受身体伤害；评估贷款申请人信用价值的人工智能工具因训练数据不完整或有偏差，导致基于种族或性别等特征对个人提供不同的贷款条款；家庭中的联网设备持续收集数据，包括对话，可能侵犯个人隐私。
在《写作者和非写作者｜Paul Graham》中指出，写作的普遍期望和写作的固有困难这两种强大的对立力量造成了巨大压力，导致一些知名教授出现抄袭行为。直到最近，人工智能的出现改变了这一局面，几乎所有的写作压力都消散了，这将导致世界分为会写作和不会写作的人，中间地带消失。但写作是一种思考方式，有一种思考只能通过写作来完成。
11A pro-innovation approach to AI regulationcreates a range of new security risks to individuals,organisations,and critical infrastructure.43 Without government action,AI could cause and amplify discrimination that results in,for example,unfairness in the justice system.44 Similarly,without regulatory oversight,AI technologies could pose risks to our privacy and human dignity,potentially harming our fundamental liberties.45 Our regulatory intervention will ensure that AI does not cause harm at a societal level,threatening democracy46 or UK values.Box 1.2:Illustrative AI risksThe patchwork of legal frameworks that currently regulate some uses of AI may not sufficiently address the risks that AI can pose.The following examples are hypothetical scenarios designed to illustrate AI’s potential to create harm.Risks to human rightsGenerative AI is used to generate deepfake pornographic video content,potentially damaging the reputation,relationships and dignity of the subject.Risks to safetyAn AI assistant based on LLM technology recommends a dangerous activity that it has found on the internet,without understanding or communicating the context of the website where the activity was described.The user undertakes this activity causing physical harm.Risks to fairness47An AI tool assessing credit-worthiness of loan applicants is trained on incomplete or biased data,leading the company to offer loans to individuals on different terms based on characteristics like race or gender.Risks to privacy and agencyConnected devices in the home may constantly gather data,including conversations,potentially creating a near-complete portrait of an individual's home life.Privacy risks are compounded the more parties can access this data.Risks to societal wellbeing
These two powerful opposing forces,the pervasive expectation of writing and the irreducible difficulty of doing it,create enormous pressure.This is why eminent professors often turn out to have resorted to plagiarism.The most striking thing to me about these cases is the pettiness of the thefts.The stuff they steal is usually the most mundane boilerplate—the sort of thing that anyone who was even halfway decent at writing could turn out with no effort at all.Which means they're not even halfway decent at writing.Till recently there was no convenient escape valve for the pressure created by these opposing forces.You could pay someone to write for you,like JFK,or plagiarize,like MLK,but if you couldn't buy or steal words,you had to write them yourself.And as a result nearly everyone who was expected to write had to learn how.Not anymore.AI has blown this world open.Almost all pressure to write has dissipated.You can have AI do it for you,both in school and at work.The result will be a world divided into writes and write-nots.There will still be some people who can write.Some of us like it.But the middle ground between those who are good at writing and those who can't write at all will disappear.Instead of good writers,ok writers,and people who can't write,there will just be good writers and people who can't write.Is that so bad?Isn't it common for skills to disappear when technology makes them obsolete?There aren't many blacksmiths left,and it doesn't seem to be a problem.Yes,it's bad.The reason is something I mentioned earlier:writing is thinking.In fact there's a kind of thinking that can only be done by writing.You can't make this point better than Leslie Lamport did:If you're thinking without writing,you only think you're thinking.