目前市面上有一些 AI 批阅相关的产品，例如：
使用这些产品时，企业需要考虑数据安全性和隐私保护的问题。
是的，有一些AI面试官的相关产品。这些产品利用人工智能技术来帮助企业进行面试，提高招聘效率和准确性。以下是一些例子：1.用友大易AI面试产品：这款产品具有强大的技术底座、高度的场景贴合度、招聘全环节集成的解决方案、先进的防作弊技术以及严密的数据安全保障。它可以帮助企业完成面试，还能借助人岗匹配模型，自主完成初筛，并对符合企业要求的候选人自动发送面试邀约。2.海纳AI面试：海纳AI面试通过在线方式、无需人为干预完成自动面试、自动评估，精准度高达98%，面试效率比人工方式提升5倍以上。同时候选人体验也得到改善、到面率比之前提升最高达30%。3.InterviewAI：这是一个在线平台，提供与面试职位相关的问题和由AI生成的推荐答案。候选人可以使用设备上的麦克风回答每个问题，每个问题最多回答三次。对于每个答案，候选人将收到评估、建议和得分。这些产品都在努力提高招聘的效率和准确性，帮助企业找到最合适的候选人。然而，使用这些产品时，企业需要考虑到数据安全性和隐私保护的问题。希望这些信息对您有所帮助！内容由AI大模型生成，请仔细甄别
Terminology used in thispaper:50AI or AI system or AI technologies:products and services that are ‘adaptable’ and‘autonomous’ in the sense outlined in our definition in section 3.2.1.AI supplier:any organisation or individual who plays a role in the research,development,training,implementation,deployment,maintenance,provision or sale of AI systems.AI user:any individual or organisation that uses an AI product.AI life cycle:all events and processes that relate to an AI system’s lifespan,frominception to decommissioning,including its design,research,training,development,deployment,integration,operation,maintenance,sale,use and governance.AI ecosystem:the complex network of actors and processes that enable the use andsupply of AI throughout the AI life cycle(including supply chains,markets,and governancemechanisms).Foundation model:a type of AI model that is trained on a vast quantity of data and isadaptable for use on a wide range of tasks.Foundation models can be used as a base forbuilding more specific AI models.Foundation models are discussed in more detail insection 3.3.3below.51Impacted third party:an individual or company that is impacted by the outcomes of theAI systems that they do not use or supply themselves.‘Is ChatGPT a cybersecurity threat?’ TechCrunch,2023.OPWNAI:Cybercriminals starting to use ChatGPT,Check Point Research,2023.These are not intended to be legal definitions for the purposes of the framework.The value chain of general-purpose AI,Ada Lovelace Institute,2023.A pro-innovation approach to AI regulationPart Two:The current regulatoryenvironment2.1 Navigating the current landscape
Scientists may also have succeeded in using generative AI to designantibodies that bind to a human protein linked tocancer.36AI is used in the fight against the most serious and harmful crimesThe Child Images AbuseDatabase37uses the powerful data processingcapabilities of AI to identify victims and perpetrators of child sexual abuse.Thequick and effective identification of victims and perpetrators in digital abuse imagesMia mammography intelligent assessment,NHS England,2021.Robotics and Autonomous Systems for Net Zero Agriculture,Pearson et al.,2022.Artificial intelligence,big data and machine learning approaches to precision medicine and drug discovery,Current DrugTargets,2021.Unlocking de novo antibody design with generative artificial intelligence,Shanehsazzadeh et al.,2023.Pioneering new tools to be rolled out in fight against child abusers,Home Office,2019.A pro-innovation approach to AI regulationallows for real world action to remove victims from harm and ensure their abusersare held to account.The use of AI increases the scale and speed of analysis whileprotecting staff welfare by reducing their exposure to distressing content.AI increases cyber security capabilitiesCompanies providing cyber security services are increasingly using AI to analyselarge amounts of data about malware and respond to vulnerabilities in networksecurity at faster-than-humanspeeds.38As the complexity of the cyber threatlandscape evolves,the pattern-recognition and recursive learning capabilities of AIare likely to play an increasingly significant role in proactive cyber defence againstmalicious actors.1.2 Managing AI risks