AI与安防行业有哪些应用

“大模型这么嗨，我也没觉得怎么样，如果不建立自己的商业闭环，只是把悲剧又加速重演一遍。”一位AI计算机视觉公司创始人今年3月对我们说。当时，多个大模型创业公司的估值已突破100亿人民币。就像如今情形的一场预演，当计算机视觉的商业化场景转向安防后，战争不再发生于创业者之间。真正的威胁来自成立了十几年的安防行业巨头海康。创业公司高薪招博士、发论文，更懂AI视觉识别，但要从头学习研发硬件产品、搭建营销体系。海康每年卖出数百亿元硬件产品，有完善的供应链和销售体系，对安防需求有长期洞察，但需要引入AI技术。在这位创业者看来，大模型时代只不过是换了一批创业公司，对手从海康威视换成了资源更多、决心明确的BAT和字节。上一次，创业公司都没有赢。所有依靠新技术的创业，都是在和大公司赛跑——看创业团队先补上完整的商业化体系，还是大公司先学会新技术。这一竞赛的结果，取决于新技术能在多大程度上颠覆原有体验，新技术的进入门槛有多高、赛道有多长。大模型确实比驱动上一波AI热潮的人脸识别等技术有更高的资源门槛，从头训练大模型也是一个更综合、复杂的技术工作，涉及GPU调用、模型架构设计、数据处理、调优等多个环节。复杂度远超AI视觉。技术门槛之外，创业公司和大公司间的竞赛结果，也取决于新技术是否能找到新生态：这里应该有新的供应链、新的硬件载体、新的渠道和新的需求与用户来源。它们尚未被大公司深度染指。一位投资人类比了大模型和移动互联网浪潮：移动互联网是新软件、新硬件同时出现，从电脑到手机，带来了App的强劲自然增长，当时的流量成本也低得多。

1.19.AI is already delivering major advances and efficiencies in many areas.AI quietly automates aspects of our everyday activities,from systems that monitor traffic to make our commutes smoother,17 to those that detect fraud in our bank accounts.18 AI has revolutionised large-scale safety-critical practices in industry,like controlling the process of nuclear fusion.19 And it has also been used to accelerate scientific advancements,such as the discovery of new medicine20 or the technologies we need to tackle climate change.212.20.But this is just the beginning.AI can be used in a huge variety of settings and has the extraordinary potential to transform our society and economy.22 It could have as much impact as electricity or the internet,and has been identified as one of five critical technologies in the UK Science and Technology Framework.23 As AI becomes more powerful,and as innovators explore new ways to use it,we will see more applications of AI emerge.As a result,AI has a huge potential to drive growth24 and create jobs.25 It will support people to carry out their existing jobs,by helping to improve workforce efficiency and workplace safety.26 To remain world leaders in AI,attract global talent and create high-skilled jobs in the UK,we must create a regulatory environment where such innovation can thrive.3.21.Technological advances like large language models(LLMs)are an indication of the transformative developments yet to come.27 LLMs provide substantial opportunities to transform the economy and society.For example,LLMs can automate the process of writing code and17 Transport apps like Google Maps,and CityMapper,use AI.18 Artificial Intelligence in Banking Industry:A Review on Fraud Detection,Credit Management,and Document Processing,ResearchBerg Review of Science and Technology,2018.19 Accelerating fusion science through learned plasma control,Deepmind,2022;Magnetic control of tokamak plasmas through deep reinforcement learning,Degrave et al.,2022.20

Disinformation generated and propagated by AI could undermine access to reliable information and trust in democratic institutions and processes.43 The Malicious Use of Artificial Intelligence,Malicious AI Report,2018.44 Constitutional Challenges in the Algorithmic Society,Micklitz et al.,2022.45Smart Speakers and Voice Assistants,CDEI,2019;Deepfakes and Audiovisual disinformation,CDEI,2019.46 Artificial Intelligence,Human Rights,Democracy and the Rule of Law,Leslie et al.,2021.47 Government has already committed to addressing some of these issues more broadly.See,for example,the Inclusive Britain report,Race Disparity Unit,2022.12A pro-innovation approach to AI regulationRisks to securityAI tools can be used to automate,accelerate and magnify the impact of highly targeted cyber attacks,increasing the severity of the threat from malicious actors.The emergence of LLMs enables hackers48 with little technical knowledge or skill to generate phishing campaigns with malware delivery capabilities.49