以下是关于 AI 提高内部工作效率的一些方面：
在法律法规方面：
在行业应用方面：
在智能导购方面：
1.31.Regulation can increase innovation by giving businesses the incentive to solve important problems while addressing the risk of harm to citizens.For example,product safety legislation has increased innovation towards safer products and services.68 In the case of AI,a contextbased,proportionate approach to regulation will help strengthen public trust and increase AI adoption.692.32.The National AI Strategy set out our aim to regulate AI effectively and support innovation.70 In line with the principles set out in the Plan for Digital Regulation,71 our approach to AI regulation will be proportionate;balancing real risks against the opportunities and benefits that AI can generate.We will maintain an effective balance as we implement the framework by focusing on the context and outcomes of AI.3.33.Our policy paper proposed a pro-innovation framework designed to give consumers the confidence to use AI products and services,and provide businesses the clarity they need to invest in AI and innovate responsibly.72 This approach was broadly welcomed–particularly by industry.Based on feedback,we have distilled our aims into three objectives that our framework is designed to achieve:o Drive growth and prosperity by making responsible innovation easier and reducing regulatory uncertainty.This will encourage investment in AI and support its adoption throughout the economy,creating jobs and helping us to do them more efficiently.To achieve this objective we must act quickly to remove existing barriers to innovation and prevent the emergence of new ones.This will allow AI companies to capitalise on early development successes and achieve long term market advantage.73 By acting now,we can give UK innovators a headstart in the global race to convert the potential of AI into long term advantages for the UK,maximising the economic and social value of these technologies and strengthening our current position as a world leader in AI.7468 The impact of regulation on innovation,Nesta,2012.
接下来是游戏行业，从一款游戏的前期制作，到中期运营再到后期迭代，大模型不仅能降低成本，还能打造创新玩法，提供更好的游戏体验。我们来看屏幕上右上角的图片，这是网易推出的首款AI手游《逆水寒》，除了将AIGC应用于美术开发，更在NPC与玩家的交互上呈现独特的剧情体验，而非仅限于预设的脚本。《逆水寒》制作组在游戏中内嵌了一个全自动“AI作词机”，玩家可以输入几个关键词，AI便会一秒生成一首完整诗词，让玩家变身文人骚客。比如，玩家输入“西湖细雨”，AI会结合游戏里的景色，来一句“雨余微暖细看残，暗香浮动西湖。”根据官方说法，“AI作词机”基于的是网易拥有自主知识产权的伏羲AI引擎，且语料库高达2万多首经典宋词。众多大模型的应用可以让游戏NPC“活起来”生成新的数字世界，玩家们能够从中体会到独特的乐趣~当然在各行各业通用的人力资源管理领域，AI的应用覆盖了从招聘初期（如职位描述生成、简历分析、面试题设计）到员工绩效评估（分析员工工作表现，识别绩效趋势和提升点，为管理层提供数据支持的绩效反馈）再到员工培训与发展各个环节，显著提高了工作效率。在全行业中，基础办公提效ppt、excel、会议报告、策划会、文案包装、图文海报、客服机器人bot等等都可以从【单个任务task->角色role->角色间协同collaboration】显著提高工作效率。健身行业—AI减重顾问——既能解决售前客服的问题，也能解决学员离开健身营之后的健康监护，更能提高学员的体验。
1.客户潜力评分系统：根据消费行为自动标记高价值客户。2.实时话术提示工具：导购与客户沟通时AI推荐应答策略。3.自动化周报生成：汇总销售数据、客户反馈生成可视化报告。4.竞品监控仪表盘：抓取社交媒体数据对比竞品声量。5.智能排班优化：根据客流预测自动调整导购排班表。6.培训模拟考试系统：基于产品知识库生成随机测试题。7.库存周转分析工具：预测滞销品并推荐促销策略。8.舆情预警系统：实时监测负面评价并推送处理建议。9.客户流失预测模型：通过行为数据预警流失风险。10.智能邮件分类器：自动分类客户咨询邮件并分配优先级。11.门店热力图分析：通过摄像头数据优化商品陈列布局。12.多语言知识库同步：自动翻译产品手册并更新至内部系统。13.销售目标拆解工具：根据历史数据为导购分配个性化KPI。14.实时翻译耳机：导购与外国客户沟通时提供语音翻译。15.客户兴趣标签生成：从聊天记录中提取关键词生成标签。16.智能补货提醒：结合销售速度与供应链数据触发补货流程。17.差旅费用优化：根据活动日程推荐最低成本差旅方案。18.会议纪要自动生成：转录会议录音并提取任务清单。19.员工满意度分析：通过匿名问卷分析导购工作痛点。20.危机公关话术库：针对突发负面事件提供标准应对模板。